Staff Data Engineer

🏢 Summary: Senior individual contributor role leading enterprise-scale data architecture and real-time partner integrations, owning the design of scalable batch and streaming pipelines across systems. Responsible for building and operating the data plane behind a strategic DFM AI + IQE integration, enabling low-latency, bidirectional data flows between platforms. Sets engineering standards for data modeling, CI/CD, governance, and observability while collaborating cross-functionally. 🗂️ Requirements: Bachelor's degree in STEM or equivalent experience, 5+ years in data engineering with ownership of large-scale data systems, Deep expertise in Snowflake and cloud data warehouses, Expert-level SQL, Strong Python proficiency, Experience building and optimizing modern data pipelines (dbt, Airbyte, Airflow or similar), Experience designing enterprise data architecture across multiple systems and partner boundaries, Knowledge of batch and stream processing systems, Experience with highly scalable data stores, Experience writing database-heavy services or APIs, Strong understanding of CI/CD, automated testing, contract testing, schema evolution, Strong knowledge of AWS and cloud-native infrastructure, Enterprise or partner system integration experience (PLM, ERP, or SaaS), Experience with infrastructure as code frameworks, Experience with event-driven architectures and CDC pipelines 📃 Skills: Snowflake, SQL, Python, dbt, Airbyte, Airflow, Kafka, Spark, Kinesis, Apache, Iceberg, AWS, Terraform, CloudFormation, Teamcenter, BMIDE, APIs, CI/CD, CDC, Looker, Streamlit 🏢 Description: Xometry is looking for a Staff Data Engineer to join the Data Platform team. This is a senior individual contributor role with broad technical scope and high organizational impact. You will own data architecture decisions, lead the design of scalable pipelines and platforms, and set the engineering bar for how data systems are built and operated. A defining piece of this role is owning the data architecture behind the DFM AI + IQE integration with a strategic partner. You will serve as the data engineering lead for the digital thread connecting the platform to partner ecosystems including Solid Edge, NX, Designcenter, and Teamcenter, building pipelines, data contracts, and observability to move quotes, parts, manufacturability signals, and pricing data in real time. Responsibilities - Lead the design and implementation of enterprise-scale data architecture and engineering solutions across multiple systems and domains - Architect and build the data layer for embedded DFM AI + IQE integrations, including bidirectional pipelines and joint data models for parts, BOMs, quotes, and manufacturability signals - Design low-latency signal paths delivering DFM and pricing feedback into designer environments - Establish governance, lineage, and audit capabilities for partner-integrated data systems - Architect and optimize reliable batch and streaming pipelines for complex, high-volume, event-driven data flows - Own the full lifecycle of data engineering work from ingestion and transformation to delivery and observability - Define and enforce best practices for data modeling, CI/CD, testing, code quality, contract testing, and schema evolution - Solve complex cross-domain technical challenges aligned with business objectives - Develop multi-quarter technical roadmaps and execution plans - Collaborate with engineering, product, data science, business stakeholders, and partner engineering teams - Mentor engineers through design and code reviews - Evaluate and recommend tools, platforms, and architectural patterns Qualifications - Bachelor's degree in a STEM field (or equivalent experience) - At least 5 years of experience in data engineering with ownership of complex, large-scale systems - Deep expertise in Snowflake, including optimization and performance tuning - Expert-level SQL and strong Python proficiency - Experience with modern data tooling such as dbt, Airbyte, and Airflow - Experience designing enterprise data architectures spanning multiple systems and partner boundaries - Knowledge of batch and stream processing technologies (e.g., Kafka, Spark, Kinesis) and scalable data stores (e.g., Apache Iceberg) - Experience building database-heavy services or APIs with focus on testability and maintainability - Strong understanding of CI/CD, automated testing, contract testing, and schema evolution in data pipelines - Strong knowledge of AWS and cloud-native infrastructure - Enterprise integration experience with PLM, ERP, or large SaaS systems; Teamcenter experience is a strong plus - Familiarity with data visualization tools such as Looker or Streamlit - Experience with data governance, data quality frameworks, and observability tooling - Exposure to lakehouse or data mesh architectures - Experience with infrastructure as code (Terraform, CloudFormation) - Experience with event-driven architectures, CDC pipelines, and low-latency operational data flows Benefits - Estimated base salary range: $180,000–$200,000 annually plus commission, depending on experience and location - Competitive benefits package including 401(k) match - Medical, dental, and vision insurance - Life and disability insurance - Generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave - Employee assistance and wellbeing resources

🏢 Summary: Staff Software Engineer role focused on building and improving AI/ML infrastructure and data platforms that power large-scale manufacturing marketplace products. The position involves cloud infrastructure design, ML platform engineering, distributed systems, and collaboration with AI leadership to deliver scalable and reliable solutions. 🗂️ Requirements: 5+ years of experience in software engineering, machine learning engineering, cloud architecture, or similar roles, Bachelor’s degree in Computer Science, AI, Machine Learning, or related field, Understanding of parallel and distributed computing, Experience with version control and continuous integration, Experience designing and deploying cloud infrastructure for data-intensive AI/ML applications, Experience with Infrastructure as Code using Terraform, Experience designing and implementing REST APIs, Strong programming skills in Python, Experience with multimodal data processing, Experience with AWS microservices, Experience with Docker and Kubernetes, US Citizen or Green Card holder 📃 Skills: Python, AWS, Terraform, REST, Docker, Kubernetes, SageMaker, IAM, Lambda, Cloudwatch, ECR, EKS, Kinesis, Git, CI/CD 🏢 Description: Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.We are looking for a Staff Software Engineer to join our core machine learning and data platform engineering organization. In this role, you will partner closely with the AI leadership team to improve and extend the foundational infrastructure leveraged by Xometry's AI/ML solutions, including the Instant Quoting Engine®, the Computational Geometry Service, and other data products powering the Xometry marketplace. This will be a high visibility role working hands-on to deliver a core aspect of the Xometry ecosystem. You will be given the opportunity to continually challenge yourself, drive innovation, have ownership of your work, and play a crucial role in the Xometry platform. How You'll Contribute: Operational Excellence: Guarantee the delivery of superior infrastructure and software, while aligning with the strategic business timelines Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance efficiency and effectiveness across the AI organization Code Review: You will do code review and mentor others within the organization regarding best practices in ML and Software Engineering Collaborative Strategy: Forge strong partnerships with product managers, engineers, and company leadership to promote a culture of open communication and integrated team dynamics What You'll Bring to Xometry: At least 5 years of experience in a fast-paced technical, problem-solving environment as a software engineer, machine learning engineer, cloud solutions architect, or similar A Bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is preferred and may substitute for some years of experience Demonstrable understanding of software engineering principles, including parallel and distributed computing, version control, reproducibility, and continuous integration Demonstrated experience designing and deploying cloud infrastructure (AWS preferred) to support data intensive applications, including AI/ML solutions, with considerations for scale, reliability and security Strong technical expertise. You will need to either have or demonstrate the ability ability to quickly build technical expertise in the following Infrastructure as Code (IaC), especially Terraform REST API design and implementation Object oriented and functional programming in Python Multimodal data processing (e.g., combining text, image, and 3D data) Experience with AWS microservices including SageMaker, Service Catalog, IAM, Lambda, Cloudwatch, ECR, EKS, and Kinesis Containerization technologies (Docker and Kubernetes) Demonstrated ability to interact and communicate effectively at all levels of the organization, from executives to product managers and a wide variety of stakeholders and contributors Experience in the manufacturing, supply chain, or similar industries is a plus Must be a US Citizen or Green Card holder (ITAR) The estimated base salary range for new hires into this role is $140,000- $230,000 annually + bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more. #LI-HybridXometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

🏢 Summary: Staff Software Engineer role focused on building and improving core AI/ML infrastructure and data platforms supporting marketplace products such as quoting and computational geometry services. The position involves cloud infrastructure design, distributed systems, ML engineering, and collaboration with AI leadership to drive scalable and reliable solutions. 🗂️ Requirements: 5+ years of experience in software engineering, machine learning engineering, cloud architecture, or similar roles, Bachelor’s degree in Computer Science, AI, Machine Learning, or related field, Understanding of parallel and distributed computing, version control, reproducibility, and continuous integration, Experience designing and deploying cloud infrastructure for data-intensive AI/ML applications, Experience with Infrastructure as Code using Terraform, Experience designing and implementing REST APIs, Proficiency in Python programming, Experience with multimodal data processing, Experience with AWS microservices including SageMaker, IAM, Lambda, CloudWatch, ECR, EKS, and Kinesis, Experience with Docker and Kubernetes, US Citizenship or Green Card required 📃 Skills: Python, Terraform, AWS, SageMaker, IAM, Lambda, CloudWatch, ECR, EKS, Kinesis, Docker, Kubernetes, REST, CI, Git, Microservices 🏢 Description: Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.Xometry is seeking a Staff Software Engineer to join our core machine learning and data platform engineering organization. In this role, you will partner closely with the AI leadership team to improve and extend the foundational infrastructure leveraged by Xometry's AI/ML solutions, including the Instant Quoting Engine®, the Computational Geometry Service, and other data products powering the Xometry marketplace. This will be a high visibility role working hands-on to deliver a core aspect of the Xometry ecosystem. You will be given the opportunity to continually challenge yourself, drive innovation, have ownership of your work, and play a crucial role in the Xometry platform. How You'll Contribute: Operational Excellence: Guarantee the delivery of superior infrastructure and software, while aligning with the strategic business timelines Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance efficiency and effectiveness across the AI organization Code Review: You will do code review and mentor others within the organization regarding best practices in ML and Software Engineering Collaborative Strategy: Forge strong partnerships with product managers, engineers, and company leadership to promote a culture of open communication and integrated team dynamics What You'll Bring to Xometry: At least 5 years of experience in a fast-paced technical, problem-solving environment as a software engineer, machine learning engineer, cloud solutions architect, or similarr A Bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is preferred and may substitute for some years of experience Demonstrable understanding of software engineering principles, including parallel and distributed computing, version control, reproducibility, and continuous integration Demonstrated experience designing and deploying cloud infrastructure (AWS preferred) to support data intensive applications, including AI/ML solutions, with considerations for scale, reliability and security Strong technical expertise. You will need to either have or demonstrate the ability ability to quickly build technical expertise in the following Infrastructure as Code (IaC), especially Terraform REST API design and implementation Object oriented and functional programming in Python Multimodal data processing (e.g., combining text, image, and 3D data) Experience with AWS microservices including SageMaker, Service Catalog, IAM, Lambda, Cloudwatch, ECR, EKS, and Kinesis Containerization technologies (Docker and Kubernetes) Demonstrated ability to interact and communicate effectively at all levels of the organization, from executives to product managers and a wide variety of stakeholders and contributors Experience in the manufacturing, supply chain, or similar industries is a plus Must be a US Citizen or Green Card holder (ITAR) The estimated base salary range for new hires into this role is $160,000 – $180,000 annually + bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more. #LI-Hybrid #PromotedXometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

🏢 Summary: Senior Staff Site Reliability Engineer role focused on defining SRE strategy, architecting scalable infrastructure, and leading complex cross-functional reliability initiatives. The position involves AWS, Kubernetes, Terraform, CI/CD, and observability platforms to improve operational excellence and system scalability. The role also includes technical mentorship, infrastructure security, and collaboration with engineering and executive stakeholders. 🗂️ Requirements: 8+ years of infrastructure management or backend software development experience, Experience in fast-paced product-driven environments, Expertise in Python, Javascript, or Unix Shell, Extensive AWS experience across multiple accounts and regions, Deep knowledge of Terraform, Deep knowledge of Kubernetes, Experience with advanced CI/CD pipelines, Experience with Docker and containerization, Experience leading cross-functional technical projects, Ability to handle operational escalations for complex issues, Strong communication and collaboration skills 📃 Skills: AWS, Python, Javascript, Shell, Terraform, Kubernetes, Docker, CI/CD, ArgoCD, GitHub, Coralogix, Sentry 🏢 Description: Xometry is seeking a Staff Site Reliability Engineer to join our Site Reliability Engineering (SRE) Organization. In this role as a senior individual contributor, you will define the technical strategy and direction for the reliability and performance of our infrastructure and software systems. You will lead complex, cross-functional initiatives, mentor senior engineers, and influence key architectural and business decisions across our technology organization. You will utilize your deep technical expertise to architect and implement highly reliable and scalable infrastructure solutions that empower our technology organization to quickly and safely deliver features to our customers at scale. How You'll Contribute: - Lead the resolution of the most complex, cross-cutting technical challenges and drive them to completion, ensuring alignment with organizational goals - Define the long-term technical roadmap and strategy for core SRE platforms and services - Architect, scope, and drive delivery of major engineering initiatives, balancing trade-offs between effort, risk, and long-term business impact - Set the standard for clean, efficient, and well-documented code, focusing on core system improvements and features - Collaborate effectively across teams, communicating clearly on progress, blockers, and outcomes to technical and executive stakeholders - Provide technical mentorship to engineers across the organization and drive organization-wide adoption of best practices for operational excellence, observability, and infrastructure security - Demonstrate accountability, curiosity, and continuous improvement in all aspects of your work - Develop, configure, and maintain underlying platforms for deployed software (AWS accounts and networking, kubernetes clusters, and similar systems), focusing on architectural design and scaling - Develop, configure, and maintain observability and monitoring tools (Coralogix, Sentry, etc.), including defining SLOs and SLIs - Develop, configure, and maintain software development (CI/CD) tools (github actions runners, ArgoCD, etc) What You'll Bring: - 8+ years of professional experience in infrastructure management or backend software development experience in a fast-paced, product-driven environment - Demonstrated deep technical expertise in one or more of the following languages: Python, Javascript, or Unix Shell - Extensive experience with AWS, including architecting, deploying, monitoring, and scaling production workloads across multiple accounts and regions - Deep expertise with Terraform, Kubernetes, advanced CI/CD pipelines, and Docker/containerization best practices - Proven experience leading technical projects with significant cross-functional impact - Comfortable working in an operational environment, including acting as a point of escalation for complex issues outside of the on-call schedule - Excellent communication and collaboration skills, comfortable engaging with technical and executive stakeholders Benefits: - Base salary range: $165,000 - $190,000 annually + bonus - 401(k) match - Medical, dental, and vision insurance - Life and disability insurance - Generous paid time off including vacation, sick leave, floating and fixed holidays - Maternity and bonding leave - EAP and wellbeing resources

🏢 Summary: Principal Software Engineer role focused on building enterprise-grade integrations between Xometry’s AI-powered marketplace and major CAD/PLM platforms. The position involves architecting scalable microservices, embedding real-time manufacturability and pricing engines into native design environments, and leading cross-team technical initiatives. Hybrid work is required in North Bethesda, MD or Waltham, MA. 🗂️ Requirements: 8–12+ years of professional software development experience, Expertise in Python backend services and APIs, Expertise in React and TypeScript, Experience with AWS cloud infrastructure, Strong background in system architecture and microservices, Experience with distributed systems and enterprise integrations, Bachelor’s degree in Computer Science, Engineering, or related field, Experience leading complex multi-quarter technical initiatives 📃 Skills: Python, React, TypeScript, AWS, Microservices, APIs, DistributedSystems, CAD, PLM, B-Rep, Mesh, AI, Ecommerce, Fintech 🏢 Description: Xometry is looking for a Principal Software Engineer to join the Partner Ecosystems team. This team builds the high-performance integration layer that embeds Xometry's AI-native marketplace directly into leading CAD and PLM platforms. You will be the primary technical architect for a landmark partnership with a major enterprise partner. The role focuses on extracting Xometry's core AI engines (DFM and IQE) and embedding them into partner ecosystems to enable real-time manufacturability and pricing feedback on native 3D geometry. This role requires a hybrid schedule (3 days a week) at the North Bethesda, MD or Waltham, MA office location. How You'll Contribute: Software Development and Technical Craft: - Lead the discovery, architectural design, and adoption of the flagship embedded partner integration - Introduce best practices for handling native 3D geometry data flows - Ensure systems are extensible, scalable, and capable of delivering real-time AI insights AI Fluency: - Leverage AI tools to accelerate development of geometry-processing pipelines - Collaborate with the Data Science team to ensure the IQE engine performs with sub-second latency within the partner application UI - Define and promote AI fluency standards across engineering teams - Coach Staff and Senior engineers on integrating AI tooling into workflows Problem Solving and Decision Making: - Solve complex issues involving deep technical coupling between marketplace and enterprise software environments - Select methods for ring-fenced data governance and secure one-click order placement Scope and Impact: - Lead cross-team decision-making and execute multi-quarter roadmaps - Build deep native integrations that eliminate the need for design file exports Collaboration and Communication: - Act as the primary technical contact for partner engineering teams - Mentor senior and mid-level engineers through complex design reviews Operational Excellence: - Own reliability and security of integration microservices - Ensure monitoring and alerting support enterprise PLM transaction lifecycles What You'll Bring: - 8–12+ years of professional software development experience - Deep experience with Python, React, TypeScript, and AWS - Strong experience with system architecture, microservices, and distributed systems - Experience building enterprise-grade integrations - Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience Preferred Qualifications: - Experience with enterprise engineering software ecosystems such as Dassault/SolidWorks or Autodesk - Understanding of B-Rep, mesh formats, and 3D modeling workflows - Experience in e-commerce, fintech, or B2B marketplaces - Experience building secure dedicated-tenant or ring-fenced enterprise solutions Compensation and Benefits: - Base salary range: $200,000 - $225,000 annually plus bonus and equity - 401(k) match - Medical, dental, and vision insurance - Life and disability insurance - Paid time off including vacation, sick leave, holidays, maternity and bonding leave - Employee assistance and wellbeing resources Xometry is an equal opportunity employer. For US-based roles, employment eligibility will be verified through E-Verify after offer acceptance.

🏢 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: 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 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!

🏢 Summary: Principal Software Engineer role focused on building enterprise-grade integrations that embed AI-powered manufacturing and quoting capabilities directly into CAD and PLM platforms. The position involves leading architecture, microservices, and real-time 3D geometry processing initiatives using Python, React/TypeScript, and AWS in collaboration with partner engineering teams. The role also includes ownership of scalable integrations, AI-enabled workflows, security, and operational reliability. 🗂️ Requirements: 8–12+ years of professional software development experience, Expertise in Python backend services and APIs, Expertise in React and TypeScript, Experience with AWS cloud infrastructure, Strong background in system architecture and distributed systems, Experience designing and operating microservices, Experience building enterprise-grade integrations, Bachelor’s degree in Computer Science, Engineering, or related field or equivalent practical experience, Ability to work hybrid from North Bethesda, MD or Waltham, MA offices 📃 Skills: Python, React, TypeScript, AWS, Microservices, APIs, PLM, CAD, B-Rep, Mesh, AI, Ecommerce, Fintech 🏢 Description: Xometry is looking for a Principal Software Engineer to join the Partner Ecosystems team. This team builds the high-performance integration layer that embeds Xometry's AI-native marketplace directly into leading CAD and PLM platforms. You will be the primary technical architect for a major enterprise partnership, responsible for embedding Xometry's AI engines into partner ecosystems. The role focuses on enabling real-time manufacturability and pricing feedback on native 3D geometry within design environments. This role requires a hybrid schedule (3 days a week) at the North Bethesda, MD or Waltham, MA office. How You'll Contribute: Software Development and Technical Craft: - Lead the discovery, architectural design, and adoption of the embedded partner integration - Introduce best practices for native 3D geometry data flows - Ensure systems are extensible, scalable, and capable of delivering real-time AI insights AI Fluency: - Use AI tools to accelerate development of geometry-processing pipelines - Collaborate with the Data Science team to optimize the Instant Quoting engine for sub-second latency - Define and promote AI fluency standards across engineering teams - Coach Staff and Senior engineers on integrating AI tooling into workflows Problem Solving and Decision Making: - Solve complex integration challenges between marketplace systems and enterprise software environments - Select methods for ring-fenced data governance and secure order placement Scope and Impact: - Lead cross-team decision-making and execute multi-quarter roadmaps - Drive deep native integrations eliminating the need for design file exports Collaboration and Communication: - Act as the primary technical contact for partner engineering teams - Mentor engineers through complex design reviews - Promote a unified digital workflow vision internally Operational Excellence: - Own reliability and security of integration microservices - Ensure robust monitoring and alerting for enterprise PLM transaction lifecycles What You'll Bring: - 8–12+ years of software development experience leading complex initiatives - Deep expertise in Python, React/TypeScript, and AWS - Strong experience with system architecture, microservices, and distributed systems - Experience building enterprise-grade integrations beyond simple API wrappers - Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience Preferred Qualifications: - Experience with enterprise engineering software ecosystems such as Dassault/SolidWorks or Autodesk - Understanding of B-Rep, mesh formats, and 3D modeling workflows - Experience in e-commerce, fintech, or B2B marketplaces - Experience building dedicated-tenant or ring-fenced enterprise solutions Compensation and Benefits: - Base salary range: $200,000 - $225,000 annually plus bonus and equity - 401(k) match - Medical, dental, and vision insurance - Life and disability insurance - Paid time off including vacation, sick leave, holidays, and parental leave - Employee assistance and wellbeing resources Xometry is an equal opportunity employer. For US-based roles, Xometry participates in E-Verify after offer acceptance.

🏢 Summary: Design and scale high-throughput data pipelines on cloud platforms to support advanced analytics and AI-driven products. The role focuses on building distributed data architectures in AWS and Databricks, ensuring performance, governance, and data quality. You will collaborate with AI/ML teams to deliver scalable, production-grade data solutions. 🗂️ Requirements: 3+ years of data engineering experience, Strong Python programming skills, Experience with Spark or Scala, Experience building distributed data pipelines in cloud environments, Knowledge of data modeling and data warehousing principles, Bachelor’s or Master’s degree in Computer Science or Engineering 📃 Skills: Python, Spark, Scala, AWS, Glue, EMR, Fargate, StepFunctions, Databricks, SQL, APIs, GenAI, GraphDB 🏢 Description: Data Engineer – Cloud & AI Platforms We’re looking for a Data Engineer to design and scale high-throughput data pipelines supporting advanced analytics and AI-driven products. What You’ll Do Architect and maintain distributed data pipelines in Databricks and AWS (Glue, EMR, Fargate, Step Functions) Ingest and process large volumes of structured and unstructured data (internal, market, third-party, alternative sources) Collaborate with AI/ML and engineering teams to design scalable data architectures and APIs Optimize performance and cost using Spark and cloud-native best practices Implement data governance, privacy, lineage, and access controls Build automated validation, monitoring, and data quality frameworks Evaluate emerging GenAI and data tooling to enhance platform capabilities What You Bring 3+ years of experience in data engineering Strong Python and experience with Spark or Scala Proven experience building distributed pipelines in cloud environments Solid understanding of data modeling, architecture, and warehousing principles Innovative problem-solving mindset Bachelor’s or Master’s degree in Computer Science or Engineering Nice to have: Experience with graph databases.