Staff Data Engineer

🏢 Summary: Staff-level backend engineering role focused on designing and owning JVM-based services that orchestrate distributed compute engines (Spark, Trino) for enterprise environments. The position combines deep distributed systems development with Kubernetes-based infrastructure, AWS integrations, CI/CD ownership, and secure authentication implementation. It requires architectural leadership and long-term ownership of platform components. 🗂️ Requirements: 8+ years backend engineering experience, Strong expertise in Java, Production experience building JVM-based services, Experience designing and operating distributed systems in production, Hands-on Kubernetes experience (manifests or Helm), Strong Docker experience, Experience managing CI/CD for Java codebases, Practical AWS experience (S3, IAM, SSO), Experience designing RESTful APIs, Knowledge of OAuth2 or OIDC authentication mechanisms, Proven architectural leadership across multiple services 📃 Skills: Java, JVM, Spark, Trino, Kubernetes, Docker, AWS, S3, IAM, SSO, REST, OpenAPI, OAuth2, OIDC, CI/CD, GitHubActions, Jenkins, Prometheus, OpenTelemetry, Python, Helm 🏢 Description: About the role As a Staff Engineer on the Spark Job Manager and Starburst Enterprise team, you will own critical backend and platform components that orchestrate distributed compute (Spark, Trino) for enterprise customers. You will lead the design and implementation of JVM-based services and the surrounding infrastructure: Kubernetes deployments, Docker image strategy, CI/CD automation, AWS integrations, and secure enterprise authentication flows. This is a staff-level role requiring architectural leadership, cross-team influence, and long-term platform ownership. As a Staff Software Engineer at Starburst, you will : Own critical backend and platform components that orchestrate distributed compute (Spark, Trino) for enterprise customers. Lead the design and implementation of JVM-based services and the surrounding infrastructure, including Kubernetes deployments, Docker image strategy, CI/CD automation, AWS integrations, and secure enterprise authentication flows. Provide architectural leadership, cross-team influence, and long-term platform ownership. Some of the things we look for: Deep Backend Engineering & Distributed Systems: 8+ years of professional backend experience, with strong expertise in Java (primary and required) and production experience building JVM-based services. Experience designing and operating distributed systems in production. Working with Spark, Trino/Presto, or comparable distributed compute engines is a strong plus. Extensive experience designing and evolving RESTful APIs, including validation, error modeling, pagination, filtering, backward-compatible versioning, and OpenAPI documentation. Infrastructure & Operations: Hands-on production experience with Kubernetes (authoring manifests/Helm charts) and strong Docker experience (multi-stage builds, image optimization, security best practices). Experience owning CI/CD for complex Java codebases, using GitHub Actions (preferred) or Jenkins. Practical AWS experience with S3 (or S3-compatible object storage), IAM roles/policies, and AWS SSO. Familiarity with secure authentication mechanisms: OAuth2 / OIDC, token-based auth, and session management. Experience implementing Metrics (Prometheus preferred), Distributed tracing (OpenTelemetry), and structured logging for JVM services is a plus. Staff-Level Impact: Proven experience leading architecture across multiple services or systems. Demonstrated ability to drive cross-team RFCs, break down ambiguous problems, influence engineering standards, and raise the technical bar through code reviews and mentorship. Own long-term platform health, not just feature delivery. Highly Preferred Experience: Experience building job orchestration platforms. Experience working in enterprise / B2B environments. Strong Python skills for automation and tooling. Experience running systems in hybrid or on-prem environments. Collaboration on open-source projects is a strong plus. Ability to Travel : This role will require 25% in-person travel for purposes including but not limited to new hire onboarding, team and department offsites, customer engagements, and other company events. Actual travel expectations may vary by role and business needs. Where could this role be based? This role is based in our Warsaw office and follows a hybrid model, with an expectation of being onsite 2-3 days per week. Build your career at Starburst All-Stars have the opportunity and freedom to realize their true potential. By building alongside top talent, we’re empowered to take ownership of our careers and drive meaningful change. Anchored in industry-proven technology and unprecedented success, All-Stars are taking on the challenge everyday to disrupt our industry –  and the future. Our global workforce is supported by a competitive Total Rewards program that reflects our commitment to a rewarding and supportive work environment. This includes a variety of benefits like competitive pay, attractive stock grants, flexible paid time off, and more. We are committed to fostering an intentional, inclusive, and diverse culture that drives deep engagement, authentic belonging, and an exceptional All-Star experience. We believe that diversity of thought, perspective, background and experience will enable us to own what we do, drive our success and empower our All-Stars to show up authentically. Starburst provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

🏢 Summary: Paid 10-week backend engineering internship focused on building and shipping features for scalable, distributed data systems used in production. The role involves working on APIs and data processing pipelines for Starburst Galaxy or Enterprise, contributing real code with direct impact. Interns collaborate with experienced engineers to solve performance and reliability challenges in modern backend environments. 🗂️ Requirements: Experience with Java, Interest in backend engineering, Ability to solve complex technical problems, Ability to work with distributed systems concepts, Availability for 10-week internship (June–August 2026), Rising Senior or recent graduate in relevant field 📃 Skills: Java, APIs, DistributedSystems, Backend, DataProcessing, Git 🏢 Description: About Starburst Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. Organizations—from startups to Fortune 500 enterprises in 60+ countries—rely on Starburst for fast data access, seamless collaboration, and enterprise-grade governance on an open hybrid data lakehouse. Wherever data lives, Starburst unlocks its full potential, powering data and AI from development to deployment. By future-proofing data architecture, Starburst helps businesses fuel innovation with AI. About the role Want to work on systems that actually matter ? At Starburst, our backend is the engine behind fast, scalable data access — and as an intern, you won’t be on the sidelines. You’ll join the team building Starburst Galaxy or Enterprise and start contributing from day one. Real code, real impact, real ownership. You’ll work on distributed systems, APIs, and data processing pipelines, learning directly from experienced engineers while solving problems that show up in production — not just in theory. We’ll support your growth, but we’ll also expect you to take initiative, move fast, and ship. This is a paid, 10-week internship (June 1st – August 28th, 2026). What you’ll do: Build backend features used by real customers Work on scalable, distributed systems Ship code early and often Learn modern backend technologies in practice Collaborate with engineers across different time zones Tackle real-world performance and reliability challenges What we’re looking for: You’re excited about backend engineering You’ve coded in Java You like solving hard problems You take ownership and get things done You’re curious and learn fast You’re a rising Senior or recent graduate Location Warsaw (hybrid)

🏢 Summary: 10-week paid frontend internship focused on improving accessibility across shared UI components and core product areas in a large-scale data platform. The role involves identifying and fixing accessibility issues, contributing to WCAG-compliant development, and integrating accessibility into the development lifecycle. Interns work on real production systems, collaborating closely with engineers and designers. 🗂️ Requirements: Experience with frontend development, Proficiency in JavaScript, Proficiency in HTML, Proficiency in CSS, Knowledge of WCAG standards, Experience with accessibility testing tools, Ability to identify and fix accessibility issues, Understanding of UI components and design practices 📃 Skills: JavaScript, HTML, CSS, WCAG, Accessibility, VPAT, UI, APIs, Testing 🏢 Description: About Starburst Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. Organizations—from startups to Fortune 500 enterprises in 60+ countries—rely on Starburst for fast data access, seamless collaboration, and enterprise-grade governance on an open hybrid data lakehouse. Wherever data lives, Starburst unlocks its full potential, powering data and AI from development to deployment. By future-proofing data architecture, Starburst helps businesses fuel innovation with AI. About the role Want to work on systems that actually matter ? At Starburst, our backend is the engine behind fast, scalable data access — and as an intern, you won’t be on the sidelines. You’ll join the team building Starburst Galaxy or Enterprise and start contributing from day one. Real code, real impact, real ownership. You’ll work on distributed systems, APIs, and data processing pipelines, learning directly from experienced engineers while solving problems that show up in production — not just in theory. We’ll support your growth, but we’ll also expect you to take initiative, move fast, and ship. This is a paid, 10-week internship (June 1st – August 28th, 2026). What you’ll do: Improve accessibility across shared UI components and core product areas Identify and fix high-impact accessibility issues (including VPAT gaps) Collaborate on enhancing accessibility workflows and standards Contribute to WCAG-compliant design and development practices Work closely with engineers and designers to ensure inclusive user experiences Support testing efforts and help integrate accessibility into the development lifecycle What we’re looking for: You’re passionate about building accessible and inclusive user interfaces You have experience with frontend development (e.g., JavaScript, HTML, CSS) You’re familiar with accessibility standards such as WCAG and tools for testing accessibility You pay attention to detail and care about usability and user experience You take ownership and proactively improve existing solutions You’re curious, collaborative, and eager to learn Location Warsaw (hybrid)

🏢 Summary: Remote Data Engineer role focused on building and evolving an internal data platform that enables secure, governed, and scalable access to data for software development and analytics teams. The position involves designing, implementing, and maintaining AWS-based data infrastructure, data pipelines, and platform services while ensuring compliance, resiliency, and automation. The role also includes architectural improvements, mentorship, and driving best practices in modern data architectures. 🗂️ Requirements: B.S. in Computer Science or equivalent experience, 4+ years of SQL experience, 4+ years of relational database design and programming (PostgreSQL, MySQL), Experience managing AWS data infrastructure (S3, RDS, Kafka, Glue, Athena, etc.), Experience in software development or systems engineering (Java, JavaScript, Python, PHP), Experience with modern API platform design and security practices, Knowledge of event-driven architecture and change data capture, Legal authorization to work in the United States without visa sponsorship 📃 Skills: SQL, PostgreSQL, MySQL, PL/pgSQL, AWS, S3, RDS, Kafka, Glue, Athena, Quicksight, DataZone, Java, JavaScript, Python, PHP, API, CI/CD, Docker, Kubernetes, Terraform, NetSuite, Salesforce, Workday, Pendo, Grafana, Kibana, Elasticsearch, OpenTelemetry, ETL, Boomi, HIPAA, PCI, SEC, FINRA, Agile, Kanban 🏢 Description: About SRS Acquiom SRS Acquiom delivers the smartest way to run a deal™ through a platform and services designed to help deal parties manage complex M&A and loan agency transactions more efficiently. Based in Denver, Colorado, with offices across the United States and in London and Amsterdam, SRS Acquiom supports transactions across North America and Europe. Our M&A services include professional shareholder representation, paying and escrow agent services, and online document solicitation and reporting. For loan and credit transactions, we provide independent Administrative Agent, Collateral Agent, Sub-Agent, and Successor Agent services. Since 2007, SRS Acquiom has supported more than 11,500 transactions globally. By bringing efficiency, expertise, and purpose-built technology to complex financial transactions, we help sophisticated deal parties focus on building great businesses and maximizing value. We're equally committed to building careers as we are to building solutions. If you're looking for a company with entrepreneurial energy, a proven record of growth and innovation, and a culture that supports your next career move, we'd love to talk. A few benefits our employees enjoy Day‑one coverage: medical, dental, and vision plans so you're protected from the start A 401(k) with a 4% company match to keep your future on track Discretionary time off - take the time you need, when you need it Employer‑paid life insurance, with the option to add extra coverage for peace of mind Employee Assistance Programs for confidential support when life gets complicated Discounted pet insurance (because furry family members count, too) A fitness credit to back your health and wellness goals Pre‑tax plans for dependent care, transportation, and flexible spending Position Summary We are growing our Platform Engineering team and are looking to add a Data Engineer who will be able to help build our internal data platform. This data platform is central to ensuring that our software development and data analytics teams have governed access to the data they need. As a Data Engineer on the Platform Team, you will be a part of driving the design, development, and implementation of our data platforms. Your responsibilities include partnering with the architect and engineering teams in developing our platform, as well as providing best practices and approaches to ensure security, resiliency, and availability of solutions. You will be challenged to create strategies that ensure the secure consumption of the platform through continuous innovation, simplification, and self-service automation. Location: This position is fully remote within the Continental United States. In-person visits to the Denver headquarters are required, on average three times per year. Compensation: The salary range for this position is between $125k and $140k, depending on experience level. Primary Responsibilities Participate in all initiatives keeping all compliance, security and regulatory needs satisfied Be a thought leader by staying abreast of current and emerging technologies and industry trends. Work with your peers to design and build data platform capabilities and incorporate the necessary automations and tool configurations that ensure agile delivery and secure consumption Design and implement processes and tools that enable product engineering and BI/Analytics teams to consume an extensible and scalable data platform, which enforces all needed governance and consistent operational models Be a trusted advisor for initiatives by providing objective, practical, and relevant ideas, insights, and advice while also building organizational partnerships and networks to ensure comprehensive capabilities are developed with input from appropriate business and Engineering resources Directly support the use and delivery of data platform services in the organization Ensure that all data platform solutions follow established security and compliance controls Maintain existing and future software services code and configuration Make recommendations for improvements to existing architecture Help implement new technologies for future deployment Provide technical guidance, knowledge transfers, and mentorship to clients on their data platform adoption Help implement and improve the development of data pipelines Other duties as assigned Required Qualifications & Skills B.S. in Computer Science or equivalent experience 4+ years of experience with and strong working knowledge of SQL required, and understanding of data models 4+ years of experience with or strong knowledge of Postgresql, MySQL, or other relational database design and programming: stored procedures, functions, PL/pgSQL Experience with or working knowledge of managing AWS Data Infrastructure: S3, RDS, Managed Streaming Kafka, Lake Formation, Glue, Glue Data Catalog, Athena, Quicksight, DataZone Experience with systems engineering and/or software development: Java, Javascript, Python, PHP Experience with modern API platform design, security practices, and data architectures: event-driven architecture, change data capture, pub/sub Preferred Qualifications & Skills Experience with cloud solution design patterns: CI/CD, Docker, Kubernetes, containers, microservices, distributed caching Experience with Terraform scripting Experience with data integrations from third-party platforms: NetSuite, Salesforce, Workday, Pendo Experience with reporting and analytic tools: Grafana, Kibana, Elasticsearch, Open Telemetry Experience with ETL processes, projects, and tooling: Boomi Understanding of systems hardening and secure systems configuration Experience with regulatory compliance standards: HIPAA, PCI, SEC, FINRA Excellent written and verbal communication skills, with the ability to present complex technical information in a clear and concise manner to a variety of audiences Understanding of Agile/Kanban methodologies Desired Characteristics Self-motivated Intellectually curious Collaborative Amiable Operates with the highest integrity and attention to detail Passionate about efficient, scalable business processes Ability to prioritize and multitask across many projects Physical Requirements/Special Demands Must be available to work standard business hours and occasional nights/weekends. Travel is required up to three times per year ** We are unable to sponsor or take over sponsorship of employment visas. Candidates must be legally authorized to work in the United States without the need for current or future visa sponsorship to move forward in the hiring process. ** Fraud & spam screening. We use tools in our applicant tracking system to help detect potentially fraudulent or spam applications. These tools analyze limited technical and contact information (such as IP address, device/browser signals, and email/phone characteristics) to flag patterns that may indicate automated, inauthentic, or suspicious activity. Flags are used to prioritize human review and do not, by themselves, determine hiring outcomes. Learn more in our Privacy Policy. This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee. Duties, responsibilities, and activities may change, or new ones may be assigned at any time with or without advanced notice. With respect to its programs, services, activities, and employment practices, SRS Acquiom Inc. assesses qualified individuals without regard to their race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), age, national origin, disability, veteran status, genetic information, or other protected status. Requests for reasonable accommodation or the provision of auxiliary aids should be directed to Human Resources.

🏢 Summary: Senior individual contributor role providing technical leadership for a Data Platform, defining architecture and driving engineering excellence across data, platform and infrastructure domains. The position focuses on building scalable, reliable and well-governed data solutions supporting analytics, AI and business-critical products. It involves mentoring engineers and shaping standards, tooling and automation within a cloud-native environment. 🗂️ Requirements: Proven experience as Staff Engineer, Principal Engineer or equivalent senior IC role, Strong background in data platforms and distributed systems, Experience with cloud-native architectures, Expertise in AWS and infrastructure as code, Experience building scalable data solutions, Knowledge of data lake or lakehouse architectures, Experience with batch and streaming processing, Knowledge of data quality, governance and observability tools 📃 Skills: AWS, Terraform, Kafka, MSK, Airflow, Glue, Spark, Iceberg, Datadog, DBT, AI, Cloud, Data, Infrastructure 🏢 Description: Who we are At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for job seekers and companies around the world to find a perfect match, in a fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring. At our Tech Hub, located near Wilanowska Metro, we are here as more than 300 ambitious specialists who work on the development of our IT products. We are proud to be part of The Stepstone Group, a global expert in job-tech platforms and e-recruiting. Join our team of 3,000+ employees and be part of reshaping the labour market and becoming the world’s leading job-tech platform. The job at a glance Join our team and you’ll be responsible for providing technical leadership for our Data Platform team, defining technical direction and driving architectural decisions across data, platform and infrastructure domains. Working in the Data Platform department you will build scalable, reliable and well-governed data platform capabilities that support analytics, AI and business-critical products, while collaborating closely with Engineering Managers, Product Managers and Enterprise Architects. This is so important to us. By joining our team, you will be playing a vital role as together we reimagine the labour market to make it work for everybody. Your responsibilities Define and evolve the technical vision, roadmap and architecture of the Data Platform, driving decisions across data, platform and infrastructure domains Establish engineering standards, best practices and reusable patterns while partnering with Enterprise Architecture and influencing technical direction Drive engineering excellence by improving code quality, testing, observability, reliability and operational practices Support end-to-end delivery by guiding teams through complex technical challenges, improving decision-making, and contributing to planning and risk management Mentor engineers, grow senior technical capabilities and champion AI-assisted development and engineering automation Your skills and qualifications Proven experience as a Staff Engineer, Principal Engineer or in an equivalent senior individual contributor leadership role Strong background in data platforms, distributed systems and cloud-native architectures, with experience shaping technical direction across teams and stakeholders Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats, as well as batch and streaming processing Knowledge of data quality, governance, cataloguing and observability tools (e.g. Datadog), with DBT or AI-assisted engineering practices as a plus Your benefits We’re a community here that cares as much about your life outside work as how you feel when you’re with us. Because your job shouldn’t take over your life, it should enrich it. Here are some of the benefits we offer: Premium medical and dental care Life insurance Flex Benefits - Worksmile Cafeteria System (Multisport, vouchers, tickets etc.) Employee Referral Program Hackathons, Knowledge Sharing Hours, In-house projects Tech and sport communities Events and integration parties Charity initiatives, 2 extra volunteer days English/German classes Game room and chillout zone Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic.

🏢 Summary: Staff Software Engineer role on the Data Platform team focused on building and leading the next generation of customer-facing data product experiences. The position involves full-stack development across frontend, backend, APIs, and data-driven workflows to turn data capabilities into intuitive product solutions. You will shape architecture, drive engineering best practices, and deliver production-grade data applications. 🗂️ Requirements: Staff-level software engineering experience, Proven experience leading customer-facing product initiatives from concept to production, Strong full-stack web application development experience, Strong proficiency in TypeScript, Node.js, and React, Experience working with Python-based systems, Experience designing APIs and production backend services, Ability to write maintainable, testable, high-quality code, Strong technical design and architecture communication skills 📃 Skills: TypeScript, React, Node.js, Python, APIs, Architecture, Testing, Observability, Snowflake, dbt, Kafka, Flink, Materialize 🏢 Description: Built is looking for a Staff Software Engineer to join the Data Platform team and lead the next generation of customer-facing data product experiences. In this role, you will build the application layer where data products are discovered, accessed, and used by customers. You will work across frontend, backend, APIs, services, and data-backed application workflows to turn platform capabilities into intuitive product experiences. WHAT YOU'LL DO - Lead the design and delivery of the application-facing data products platform, including product surfaces, backend services, APIs, frontend flows, and reusable patterns. - Build full-stack customer experiences using TypeScript, React, Node.js, Python, and related technologies. - Partner with Product to shape ambiguous ideas into useful customer workflows and offer practical alternatives. - Turn data science prototypes, analytics concepts, and platform capabilities into production-grade product experiences. - Bring strong software engineering practices through technical design, code review, mentoring, testing, and delivery patterns. - Help data engineers expand into software engineering work across frontend, backend, APIs, and production readiness. - Collaborate where data products integrate with application surfaces, platform capabilities, agents, or customer workflows. - Use customer signals, usage data, product feedback, and support insights to guide engineering decisions. SKILLS AND EXPERIENCE REQUIRED - Staff-level software engineering experience leading ambiguous, customer-facing product initiatives from idea through production. - Strong product judgment and ability to assess customer value in workflows and requirements. - Full-stack web application experience with backend-leaning depth. - Strong experience with TypeScript, Node.js, React, and modern web application architecture. - Experience with Python or ability to work effectively in Python-based systems. - Experience designing APIs, service boundaries, reusable application patterns, and production backend systems. - Ability to write high-quality, maintainable code with strong testing, readability, observability, and operational ownership practices. - Strong technical communication skills including design documentation and architecture discussions. - Collaborative leadership and mentoring ability. PREFERRED - Experience building data-heavy product experiences such as analytics products, reporting workflows, benchmarking tools, dashboards, or decision-support products. - Experience working with data engineers, analytics engineers, or data scientists to productionize prototypes. - Experience with AI or agentic product experiences. - Familiarity with Snowflake, dbt, Kafka, Flink, Materialize, or similar data platform technologies. - Experience in fintech, lending, banking, construction, real estate, compliance-heavy SaaS, or similar domains. - Experience with product instrumentation, activation metrics, experimentation, and usage-based iteration. - Experience mentoring engineers from adjacent disciplines into stronger software engineering practices. Benefits - Salary range: $170,000 - $240,000 USD per year. - Equity as part of total compensation. - Medical, dental, and vision coverage. - Unlimited PTO policy. - 401k with match and expedited vesting. - Learning grant program for professional development.

🏢 Summary: Senior hands-on Staff Data Engineer role focused on owning and scaling a centralized Databricks lakehouse platform, building production-grade data pipelines, and leading multi-terabyte legacy migrations. The position combines architectural decision-making, data modeling, and technical leadership to support multiple financial product lines. The engineer acts as the primary onshore technical authority ensuring platform reliability, governance, and scalability. 🗂️ Requirements: 5+ years of data engineering experience, Strong proficiency in SQL, Python, and PySpark, Hands-on experience with Databricks (Delta Lake, Workflows, Databricks SQL), Experience building and maintaining large-scale ETL/ELT pipelines, Proven ability to design scalable data models, Experience migrating multi-terabyte datasets, AWS experience (S3, IAM, VPC), Infrastructure-as-code experience (Terraform preferred), Knowledge of data governance, lineage, and access controls, Ability to make independent architectural decisions, Experience mentoring data engineers, US-based with timezone overlap for stakeholder collaboration 📃 Skills: SQL, Python, PySpark, Databricks, Delta, Lake, Workflows, DatabricksSQL, UnityCatalog, AWS, S3, IAM, VPC, Terraform, ETL, ELT, DataModeling, Governance 🏢 Description: Exactera has offices in New York City, Tarrytown NY, San Diego, CA, London, and Argentina. The Role As Staff Data Engineer, you will provide senior onshore technical leadership for the data engineering team. You will own a defined slice of our centralized Databricks data platform with full accountability for decisions and delivery, serve as a technical counterpart to the Principal Data Platform Engineer, and drive architectural judgment and independent problem-solving as platform complexity scales post-migration. This is a hands-on data engineering role focused on building and maintaining production pipelines, exercising architectural judgment on data modeling and pipeline design, and serving as the onshore escalation point and institutional knowledge backup for platform decisions. The Business Challenge We operate multiple product lines (Transfer Pricing, R&D Services, RoyaltyStat, Provisioning), each with distinct databases containing enterprise financial data—journal entries, general ledgers, and financial statements. Our immediate challenge is migrating multi-terabyte datasets from legacy systems to a unified Databricks lakehouse while establishing governance patterns that enable multi-product operations at scale. As the platform matures, the data engineering team needs senior onshore technical presence to drive architecture ownership and maintain platform quality. What You'll Build Production Data Pipelines: Build and maintain production data pipelines within the patterns and governance established by the Lead Data Platform Engineer, ensuring reliability and performance at multi-terabyte scale. Data Modeling & Architecture: Exercise architectural judgment on data modeling, pipeline design, and platform usage—translating complex business requirements into scalable data solutions across our product portfolio. Stakeholder Engagement: Engage proactively with product and engineering stakeholders to translate requirements into data solutions, serving as the primary onshore technical point of contact for data engineering needs. Platform Quality: Drive platform quality through code reviews, testing practices, and engineering standards that ensure the team delivers reliable, maintainable data infrastructure. Knowledge & Continuity: Serve as onshore escalation point and institutional knowledge backup for platform decisions, reducing single-point-of-failure risk and building onshore technical depth as the platform scales. Business Problems You'll Solve Multi-Product Data Delivery: Implement data pipelines that serve multiple product lines (Transfer Pricing, R&D Services, RoyaltyStat, Provisioning) with distinct data requirements, ensuring each product gets the data it needs reliably and on schedule. Legacy Migration Execution: Lead pipeline implementation for migrating multi-terabyte datasets from legacy systems to Databricks, working within the architecture defined by the Lead Data Platform Engineer. Onshore Technical Leadership: Provide the senior judgment layer the current nearshore team cannot—owning problems end-to-end, making independent architectural decisions, and mentoring engineers to raise the quality bar across the team. Cross-Team Coordination: Bridge the gap between product teams and data infrastructure, translating business requirements into data solutions and ensuring the data platform delivers on product commitments. Required Experience Core Data Engineering SQL, Python, and PySpark—production pipeline implementation and performance optimization Databricks experience—Delta Lake, Workflows, and Databricks SQL; Unity Catalog familiarity preferred 5+ years in data engineering with demonstrated ability to own problems end-to-end without close direction Experience building and maintaining ETL/ELT pipelines at scale, including error handling, monitoring, and data quality validation Strong data modeling skills across structured and semi-structured data sources Platform & Infrastructure AWS experience (S3, IAM, VPC) with ability to collaborate on infrastructure decisions Infrastructure-as-code experience (Terraform preferred) Familiarity with data governance patterns (Unity Catalog, data lineage, access controls) Technical Leadership Demonstrated ability to exercise independent architectural judgment—not just ticket execution Experience mentoring or guiding junior and mid-level data engineers Strong written and verbal communication—able to document architecture decisions and engage directly with both technical and business stakeholders Onshore (US-based)—role requires timezone overlap, async-light communication, and direct stakeholder engagement Preferred But Not Required Experience with financial data, accounting systems (NetSuite), or enterprise ERP platforms Background building pipelines that serve AI/ML workloads (preparing data for downstream ML consumption, RAG, and LLMs) Familiarity with data governance frameworks and compliance requirements for regulated industries Experience working alongside or transitioning from nearshore engineering teams What We Offer (The following only applies to US-based positions) A collaborative team culture with opportunities for career development. Ample opportunities to be recognized, build valuable skills, and grow your career. Generous vacation policy, including paid parental leave. Comprehensive health plans with FSA and HSA options. 401(k) retirement plan. Life and disability insurance coverage. Supplemental benefits like a dependent care savings plan, pet insurance, will preparation, and an employee assistance program. About Us At Exactera, a FinTech SaaS start-up founded in 2016, we stand at the intersection of human and machine intelligence. Our corporate tax solutions are powered by AI and cloud-based technologies, serving customers worldwide. We are committed to diversity, inclusion, and equal opportunities for all. What We Offer:(The following only applies to US-based positions) A collaborative team culture with opportunities for career development. Ample opportunities to be recognized, build valuable skills, and grow your career. Generous vacation policy, including paid parental leave. Comprehensive health plans with FSA and HSA options. 401(k) retirement plan. Life and disability insurance coverage. Supplemental benefits like a dependent care savings plan, pet insurance, will preparation, and an employee assistance program. About Us: At Exactera, a FinTech SaaS start-up founded in 2016, we stand at the intersection of human and machine intelligence. Our corporate tax solutions are powered by AI and cloud-based technologies, serving customers worldwide. With over $100 million in funding from Savant Venture Fund and Insight Partners, we are poised for growth. We are committed to diversity, inclusion, and equal opportunities for all.

🏢 Summary: Long-term Software Engineer role focused on developing and enhancing advanced data management and backup solutions, with strong emphasis on scalability, performance, and product quality. The position involves leading technical initiatives, contributing to product evolution, and maintaining distributed systems in close collaboration with cross-functional teams. Initial phase centers on intensive development and support of strategic backup and recovery products. 🗂️ Requirements: Minimum 4 years of commercial development experience, Higher education degree, Proficiency in Java or Golang, English level B2 or higher, Experience with JIRA, Experience with GitHub, Knowledge of Agile/Scrum, Experience with distributed systems, Experience with Linux and Windows environments, Experience using AI tools for development 📃 Skills: Java, Golang, JIRA, GitHub, Agile, Scrum, Linux, Windows, Microservices, Cloud, AI 🏢 Description: Opis stanowiska Dla naszego Partnera poszukujemy pełnych pasji i zaangażowania Software Engineerów, którzy chcą wprowadzać innowacje i współtworzyć zaawansowane rozwiązania do zarządzania danymi. Jako część zespołu będziesz współtworzyć portfolio produktów, rozwijając funkcje, narzędzia i rozwiązania poprawiające doświadczenie klientów — od łatwości sprzedaży po płynne wdrożenie i utrzymanie. To stanowisko wykracza poza samo pisanie kodu. Szukamy inżynierów, którzy potrafią zagłębiać się w złożone systemy, skutecznie diagnozować i rozwiązywać problemy oraz dostarczać rozwiązania wysokiej jakości, z naciskiem na skalowalność i wydajność. Będziesz współpracować blisko z Product Managerami, zespołem Customer Support, inżynierami systemowymi oraz bezpośrednio z klientami, aby zapewnić, że nasze rozwiązania odpowiadają na rzeczywiste potrzeby użytkowników. Jak wygląda ta rola? 📃 Forma współpracy: Umowa o pracę 💰 Wynagrodzenie: 13 000 – 20 000 zł brutto (w zależności od doświadczenia i kompetencji) 🏢 Tryb pracy: stacjonarna, biuro w Warszawie. Rola ma charakter długofalowy i jest związana z rozwojem strategicznych produktów firmy. Początkowo obejmuje około 6–9 miesięcy intensywnej współpracy z zespołem Storware Backup & Recovery, koncentrującej się na prowadzeniu inicjatyw technicznych oraz rozwijaniu i wspieraniu produktów. Jest to pierwszy etap współpracy, po którym rola naturalnie ewoluuje w kierunku dalszego rozwoju i utrzymania rozwiązań oraz większej odpowiedzialności za obszary produktowe. W tym etapie kluczowa jest ścisła współpraca między zespołami — w tym z Product Managementem, Supportem Technicznym oraz QA — aby skutecznie łączyć działania inżynieryjne z potrzebami klientów. Docelowo będziesz pracować w 5-osobowym zespole odpowiedzialnym za rozwój produktu, jego utrzymanie oraz dalsze inicjatywy technologiczne. Chętnie porozmawiamy, jeśli posiadasz większość z poniższych: Minimum 4 lata doświadczenia zawodowego w komercyjnych projektach. Preferowane ukończenie studiów wyższych. Bardzo dobra znajomość przynajmniej jednego z języków: Java lub Golang . Znajomość języka angielskiego na poziomie B2 lub wyższym. Doświadczenie z narzędziami takimi jak JIRA oraz GitHub. Nastawienie na rozwiązywanie problemów oraz pasja do tworzenia wysokiej jakości produktów. Bardzo dobre umiejętności komunikacyjne i zdolność współpracy z różnymi interesariuszami. Znajomość metodologii Agile/Scrum. Umiejętność jasnego przedstawiania decyzji projektowych i upraszczania złożonych zagadnień. Umiejętność podejmowania decyzji w oparciu o dane. Doświadczenie w wykorzystywaniu narzędzi AI do usprawniania pracy i zwiększania produktywności. Dodatkowym atutem będzie: Doświadczenie w tworzeniu produktów klasy enterprise związanych z ochroną danych. Znajomość architektury mikroserwisowej oraz rozwiązań chmurowych. Doświadczenie w tworzeniu i debugowaniu dużych systemów rozproszonych w środowiskach Java lub Go na platformach Linux i Windows. Dodatkowe informacje CO OFERUJEMY 💻współpraca z zespołem międzynarodowym, 💻sprzęt i narzędzia pracy spełniające wysokie standardy bezpieczeństwa danych (wdrożone ISO 27001), 💻 kontakt z nowoczesnymi technologiami 💻dużą autonomię w planowaniu i realizacji działań, 💻realny wpływ na kierunek rozwoju produktu oraz kształtowanie procesów, 💻przejrzystą i otwartą ścieżkę rozwoju w kierunku ról seniorskich, architektonicznych i menedżerskich, 💻jasno określone, realistyczne i mierzalne cele, 💻współpracę z doświadczonym zespołem technologicznym stanowiącym solidne zaplecze merytoryczne. _________________________________________________________________ INFORMACJE FORMALNE Administratorem danych osobowych jest Storware sp. z o.o. z siedzibą w Warszawie (ul. Bakalarska 15A U2, 02-212 Warszawa). Dane osobowe przetwarzane są w celu przeprowadzenia procesu rekrutacji na stanowisko wskazane w ogłoszeniu, na podstawie art. 6 ust. 1 lit. b oraz lit. a Rozporządzenia Parlamentu Europejskiego i Rady (UE) 2016/679 (RODO). Podanie danych osobowych w zakresie wynikającym z przepisów prawa pracy jest niezbędne do udziału w rekrutacji, a w pozostałym zakresie dobrowolne. Wyrażam zgodę na przetwarzanie moich danych osobowych zawartych w dokumentach aplikacyjnych przez Storware sp. z o.o. w celu realizacji procesu rekrutacji. Wyrażam również zgodę na przekazanie moich danych osobowych Partnerowi, na rzecz którego prowadzona jest niniejsza rekrutacja, wyłącznie w zakresie niezbędnym do jej przeprowadzenia. Dane osobowe będą przechowywane przez okres niezbędny do realizacji procesu rekrutacji lub do momentu wycofania zgody. Przysługuje mi prawo dostępu do treści danych, ich sprostowania, usunięcia, ograniczenia przetwarzania, przenoszenia oraz wniesienia sprzeciwu, a także prawo do cofnięcia zgody w dowolnym momencie bez wpływu na zgodność z prawem przetwarzania dokonanego przed jej cofnięciem. Szczegółowe informacje dotyczące przetwarzania danych dostępne są w polityce prywatności.

🏢 Summary: Full-stack Engineer role focused on building and maintaining business-critical demo environments and applications used globally to showcase and support the platform. The position involves working across a diverse, multi-cloud stack to design, deploy, and operate scalable infrastructure and software. You will collaborate cross-functionally to deliver reliable, high-quality demo solutions and ensure operational excellence. 🗂️ Requirements: 3+ years full-stack software engineering experience, Experience with at least one programming language, Experience with a web application framework, Experience with a database technology, 2+ years with containerization and deployment tools, 2+ years in cloud-native or multi-cloud environments, Experience with Git-based source control, Experience writing automated tests, Experience with CI automation, Ability to use AI coding tools in daily workflows and validate outputs 📃 Skills: Kubernetes, Docker, Helm, GitLab, CI/CD, AWS, GCP, Azure, Git, Databases, APM, AI 🏢 Description: Demo Engineering is a full-stack software engineering and operations team. Our work helps to articulate the Datadog vision and product value to our largest prospects, customers, and conference attendees hundreds of times every week. We build and own internal systems and tools that enable various teams to create transformative product demos, quickly and easily. We make the experience of creating Datadog demos simpler, more pleasant, and more productive. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. As a Full-stack Engineer on the Demo Engineering team, you will be responsible for building and maintaining business critical demo environments and applications that Pre and Post Sales Engineering, Product Management, Marketing, Events, and Support use on a daily basis around the globe. This is a rare opportunity to work across a uniquely diverse technology stack, including all three major cloud providers and all languages supported by our APM product. What You’ll Do: Design, develop, deploy, monitor, maintain, and own business critical infrastructure and software to power the Datadog demo environment, empowering hundreds of individuals to deliver demos daily Work cross-functionally with subject matter experts in engineering teams such as data science, security, tracing, etc. to ensure that upcoming Datadog features are demo-ready and collaborate closely with product management and sales engineers to build demo solutions for all aspects of the Datadog platform Consistently ships high quality code and architecture Become a Datadog expert, understanding the platform in detail, to best deliver demo related solutions, support other Datadog employees using those solutions, and using Datadog to monitor the health of those solutions Help keep our demo solutions reliable, available, and fast by responding to on-call alerts, investigating issues, performing necessary operations, and delivering fixes Support our internal customers by helping answer questions about the demo environment, troubleshooting, tracking feature requests and bugs, escalating issues, and reporting or calling incidents when necessary Who You Are: 3+ years of experience in full-stack software engineering with experience in at least one programming language, web application framework, and database technology. 2+ years of experience with containerization and deployment tools such as Kubernetes/Docker, Helm, and Gitlab CI/CD 2+ years of experience in a cloud-native or multi-cloud environment (we use AWS, GCP and Azure) A practitioner of repeatable development processes to deliver high quality software, using Git for source control, writing tests to catch regressions, and using CI for automation. A communicative problem solver, proactively getting feedback on designs before committing to a solution. You want to work in a fast, high growth environment and you value a pragmatic approach, code simplicity and efficiency Requirement - Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output. Bonus/Plus - You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products. Datadog values people from all walks of life. We understand that not everyone will meet these requirements on day one. If you’re passionate about technology and want to grow these skills but don’t meet all of these qualifications, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our Internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$117,600—$147,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Senior Data Engineer role focused on designing and building scalable serverless data ingestion pipelines in AWS within the healthcare domain. The position emphasizes strong Python engineering, cloud architecture leadership, and implementation of modern data platforms and DevOps practices. The role involves driving technical excellence and delivering reliable, high-impact data solutions in an international environment. 🗂️ Requirements: 10+ years of experience in Python programming, Strong software engineering skills in data processing, Extensive experience with AWS Cloud and Serverless Architecture, Hands-on experience with AWS Lambda, S3, and Cognito, Experience building E2E automated tests for data pipelines, Practical knowledge of Data Mesh and Medallion Architecture, Experience with Infrastructure as Code using AWS CDK or Terraform, Experience with CI/CD pipelines using GitLab or GitHub Actions, Experience with ETL/ELT processes and dbt, Experience working with GraphQL, Minimum B2 level English proficiency 📃 Skills: Python, AWS, Lambda, S3, Cognito, Boto3, DataMesh, Medallion, CDK, Terraform, GitLab, GitHubActions, ETL, ELT, dbt, GraphQL, CI/CD 🏢 Description: We are looking for a highly skilled Data Engineer to join our client in the healthcare sector. Our requirements: Technical Expertise: Python Programming: 10+ years of experience with strong Software Engineering skills focused on data processing. AWS & Serverless: Extensive experience with AWS Cloud, specifically focusing on Serverless Architecture and services (including AWS Lambda , AWS S3 Tables , and AWS Cognito ). Automated Testing: Proven experience in developing End-to-End (E2E) automated tests to ensure pipeline reliability, utilizing tools such as Boto3 for AWS resource validation. Data Concepts: Practical knowledge of Data Mesh and Medallion Architecture , along with general data processing and analysis. DevOps & IaC: Hands-on experience with Infrastructure as Code ( AWS CDK or Terraform ) and CI/CD pipelines ( GitLab pipelines or GitHub Actions ). Modern Tooling: Experience with ETL/ELT solutions, dbt , and GraphQL . Communication & Soft Skills: English Language: Minimum B2 level , enabling smooth daily technical and business communication in a global environment. Collaboration: Excellent communication skills and the ability to thrive in a collaborative, international team. Standards: A strong commitment to high standards of ethics, quality (Clean Code), and reliable delivery. Nice to have: Experience with Snowflake and SQL . Knowledge of Data Vault 2.0 modeling. Experience with Databricks . Familiarity with the Microsoft ecosystem: C# / .Net, T-SQL, SQL Server , and Azure DevOps . Experience with Star Schema database modeling. Knowledge of Descriptive Statistics. Your responsibilites: Design and build scalable Data Ingestion pipelines within the AWS cloud ecosystem. Lead technical delivery and implementation of core platform components, ensuring architectural integrity across the entire data lifecycle. Collaborate with Engineering Managers and cross-functional teams across the globe and Poland. Drive technical excellence by improving team processes, architecture standards, and engineering best practices. Support and consult with stakeholders to ensure successful delivery of high-impact, data-driven solutions. Contribute to the growth and maturity of the team’s cloud and data engineering capabilities. We offer: Challenging role within the company that creates innovative solutions. Work in international environment on demanding projects. Remote work model. Subsidized private medical care, life insurance, multisport card. Integration meetings. Employee referral program. If you have a deep expertise in Python and AWS , and building scalable Serverless data architectures is where you truly excel, this is the perfect role for you!