Data Engineer

🏢 Summary: Full-time Software Engineer role focused on designing, building, and optimizing scalable data architecture and backend APIs within an AI-native enterprise platform. The position involves end-to-end feature development, advanced SQL work, and collaboration in an agile scrum team. Based in Pittsburgh, this role requires strong backend expertise and experience with data-driven analytics in a fast-paced environment. 🗂️ Requirements: U.S. Citizenship, Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience), 6+ years of software development experience with a high-level software stack, Advanced SQL development experience, Experience with PostgreSQL administration, Strong proficiency in backend API development (Java/Spring Boot or equivalent), Hands-on experience working in Linux environments, Experience with data-driven analytics, Experience working in agile/scrum teams 📃 Skills: Java, Spring, SQL, PostgreSQL, Linux, APIs, Git, JavaScript, ReactJS, CSS, Scrum, Agile 🏢 Description: Company Description Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed. Job Description We are seeking a skilled and dedicated developer to join our Engineering team. As an SWE, you will focus on building high-quality, well-designed software solutions and bringing new products and features to life. This is a full-time position located in Pittsburgh, PA, and may require up to 10% travel. Scope of Responsibilities - Actively participate in designing, building, and testing scalable data architecture - Craft clean, testable, and maintainable code - Participate in the end-to-end software development of new feature functionality and design capabilities - Optimize processes for maximum speed and accuracy - Drive innovation and continuous improvement across assigned tasks - Work in an agile team in a scrum process, collaborating closely with software engineers, DBEs, and QA engineers Qualifications - U.S. Citizenship is required - Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent work experience Required Skills - 6+ years of software development experience with a high-level software stack - Advanced SQL development - Familiarity with PostgreSQL administration - Strong proficiency with backend API languages such as Java/Spring Boot (preferred) or equivalent - Experience performing meaningful tasks in Linux - Prior hands-on experience working with data-driven analytics - Experience working in agile/scrum teams - Ability to work independently with little supervision - Strong motivation to work in a fast-paced technology environment Desired Skills - Current U.S. security clearance or ability to obtain one with sponsorship - Experience in a startup or entrepreneurial environment - Familiarity with Git source control management - Familiarity with JavaScript/ReactJS - Familiarity with CSS - Experience working in a product organization We believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we encourage you to apply. Air is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, veteran status, or any other characteristic protected by law.

🏢 Summary: Full-time Software Engineering Lead role focused on leading a small cross-functional team and driving end-to-end development of scalable, high-quality software applications. The position combines hands-on backend development with ownership of engineering processes, Agile leadership, and collaboration across product, data, QA, and DevOps. Ideal for experienced engineers with strong object-oriented expertise building modern platforms for defense and intelligence use cases. 🗂️ Requirements: U.S. Citizenship, Bachelor’s degree in Computer Science, Mathematics, or related technical field, 5+ years of software development experience with an object-oriented programming language, Hands-on experience with Spring Boot, Quarkus, or similar frameworks, Strong knowledge of data structures, object-oriented design, and algorithms, Experience with exception handling and troubleshooting, Experience writing SQL and implementing database design 📃 Skills: Java, C++, Python, C#, Ruby, Spring, Quarkus, SQL, Agile, OOP 🏢 Description: Job Description We are seeking a skilled and dedicated Software Engineering Lead to join our Engineering team. As the Software Engineering Lead, you will be essential to crafting and implementing software engineering processes and implementations. In order to do this job well, you must be obsessed with quality and efficiency and enjoy working with diverse technologies. You should have a strong understanding of software engineering design principles and strong technical expertise. This role is a full-time position and may require up to 10% travel. Scope of Responsibilities - Lead software engineering efforts from ideation through implementation as well as the day-to-day activities of a small team of front-end and back-end engineers - Lead Agile ceremonies for the software engineering team - Establish coding and testing best practices and standards - Develop, test, and deploy modern software applications and new features - Oversee the quality of deliverables including coding, testing, and debugging - Collaborate with the product team to translate business requirements into technical specifications - Drive innovation and continuous improvement to increase efficiency - Collaborate with data engineers, data scientists, QA engineers, and DevOps engineers to improve overall platform quality and performance Qualifications - U.S. Citizenship is required - Bachelor’s degree in Computer Science, Mathematics, or a related technical field Required Skills: - 5 years of software development experience with an object-oriented programming language such as Java, C++, Python, C#, or Ruby - Hands-on experience with Spring Boot, Quarkus, or similar technologies - Knowledge of data structures, object-oriented design, algorithms, exception handling, and troubleshooting - Experience writing SQL and implementing database design Desired Skills: - Current U.S. security clearance or ability to obtain one with sponsorship - Experience in a startup or entrepreneurial environment - Experience working in a product organization

🏢 Summary: Full-time Delivery Operations Analyst role focused on managing delivery systems, operational workflows, reporting dashboards, and cross-functional process alignment in a high-growth B2G environment. The position requires strong analytical, CRM/CSP, and data visualization skills to support executive reporting and delivery operations. Based in Arlington, VA with up to 10% travel. 🗂️ Requirements: U.S. Citizenship, Bachelor’s degree in Business, Finance, Data Science, Economics or similar field, or equivalent experience, 3–5 years of experience in Revenue Operations, Sales/Delivery Enablement, Professional Services, or Project Management, Proficiency with CSP or CRM platforms, Experience with data analysis and reporting, Advanced skills in Tableau, PowerBI, Excel, or Google Sheets, Strong written and verbal communication skills, Ability to create training materials and present complex information clearly 📃 Skills: Salesforce, HubSpot, Gainsight, Planhat, Tableau, PowerBI, Excel, Sheets, CRM, CSP, Lean, SixSigma 🏢 Description: Company Description Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed. Job Description We are seeking a detail-oriented, proactive and expeditious Delivery Operations Analyst to act as the analytical and procedural engine behind our deployment success. In this highly cross-functional, individual contributor role, you will manage the operational frameworks, systems, and data that keep our Delivery team running effectively. You will own the post sale systems of record for the delivery lifecycle, ensuring strict data hygiene and adherence to process. You will be responsible for translating complex implementation data into clear, actionable reporting for the executive and management teams. The ideal candidate is a highly analytical process engineer who loves diving into data, identifying operational bottlenecks, and building scalable workflows in a high-growth B2G environment. This role is a full-time position located out of our office in Arlington, VA and may require up to 10% travel. Scope of Responsibilities • System of Record Ownership: Serve as the primary owner and administrator for the systems, tools, and platforms used by the Delivery team. Ensure strict adherence to data entry protocols and maintain pristine data quality across the delivery lifecycle. • Executive Reporting & Analytics: Design, build, and maintain accurate reporting dashboards. Provide executive leadership and management with real-time visibility into key delivery metrics, including WAU and deployment health/at-risk accounts. • Change Management: Champion process adherence across the Delivery team. Train team members on new tools, system updates, and workflow changes, ensuring high adoption rates and consistent execution. • Process Improvement & Engineering: Continuously audit and analyze current delivery workflows to identify inefficiencies or friction points. • Cross-Functional Alignment: Act as the operational connective tissue between Delivery, Revenue Operations and Product. Ensure seamless data flow, accurate handoffs, and alignment across departments. Qualifications & Skills U.S. Citizenship is required. Bachelor's degree program in Business, Finance, Data Science, Economics, or similar fields, or 1-4 years of equivalent experience. Required: • 3–5 years of experience in Revenue Operations, Sales/Delivery Enablement, Professional Services, or Project Management • Strong proficiency with CSP and/or CRM software such as Salesforce, HubSpot, Gainsight, and Planhat • Ability to pull reports, analyze data, and translate operational metrics into actionable insights • Advanced skills in Tableau, PowerBI, Excel, or Google Sheets • Exceptional written and verbal communication skills • Ability to present complex information clearly and create engaging training materials Desired: • Certifications in process improvement such as Lean Six Sigma or system administration such as Salesforce Certified Administrator • Prior experience operating in the defense technology, federal contracting, or government SaaS space We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you. Air is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

🏢 Summary: Full-time Product Manager role focused on defining and executing the roadmap for low-code/no-code builder capabilities within an enterprise AI-native SaaS platform. The position involves integrating prototypes, scaling platform features, and collaborating cross-functionally with engineering, AI, and data teams to deliver robust, configurable solutions. Requires strong technical fluency in backend systems and experience shipping infrastructure or platform services in B2B environments. 🗂️ Requirements: U.S. Citizenship, 5+ years Product Management experience in B2B SaaS, ERP, or highly configurable industry platforms, Experience shipping infrastructure or platform services, Fluency in backend systems concepts (authentication/authorization, data schemas, distributed systems), Expert-level SQL, Familiarity with Python, Experience with GitLab or GitHub, Understanding of microservices, caching, permissions models, and event systems, Familiarity with LLM-based systems and workflow tradeoffs, Bachelor's degree in business or technology-related field 📃 Skills: SQL, Python, GitLab, GitHub, Microservices, DistributedSystems, APIs, LLM, DataSchemas, Authentication, Authorization, Caching, EventSystems 🏢 Description: Job Description We are seeking an experienced product manager to build a strategy and execute against a roadmap to mature our low-code / no code builder experiences. You will be responsible for prioritizing, rationalizing, and integrating existing prototypes into the platform as well as developing new platform capabilities that serve our customers at scale. This is an individual contributor reporting to the SVP of Product. You are responsible for thinking broadly across the communities we serve and delivering solutions that provide value to a wide range of customers. You'll partner with other PMs and our engagement and implementation teams to scale "in-the-field" solutions and improve the configurability and adaptability of our platform. You should be highly motivated by striking a balance between building solutions that are robust and scalable and meeting customer needs. In order to do this job well, you must possess exceptional judgment when it comes to identifying opportunities to deliver customer value in a productized way, as well as in the relative prioritization of those opportunities. You must work effectively cross-functionally in often ambiguous circumstances, distilling market opportunities to a clear set of objectives and solutions, and articulating the value of those solutions both internally and externally. In a typical week, you could expect to: - Spend several days on site with users (internal and external), seeking to understand how users across a variety of accounts utilize Air Enterprise Readiness platform to relieve pain points and triangulate the commonalities to build new, valuable workflows in the Air Enterprise Readiness platform. - Draft clear and compelling articulation of customer problems, and what a good solution to those problems would look like in the Air Enterprise Readiness platform. - Partner with the other PMs and go-to-market team to help assess opportunities and understand the degree to which customer requirements align with product capabilities and roadmap - Define how those solutions deliver value across a wide range of customer environments and determine what features are necessary to support broad adoption of the solution. - Collaborate with engineering and design teams to deliver the most promising capabilities. - Do competitive analysis to understand what the table stakes capabilities are and what differentiators. This role may require up to 50% travel. Scope of Responsibilities - Define and prioritize the builder roadmap, balancing technical debt with high-impact UI improvements - Act as the "Internal PM" for our customer teams, ensuring they have the platform tools (APIs, UI components) they need to build faster - Spend time with power users to understand where the UI creates "friction" and translate those pains into elegant functional requirements - Partner with internal engineering, AI, and data science teams to scope the expected associated investment costs/timelines, and ensure that the business can deliver on scope, contractual obligations, and agreed-upon timelines - Facilitate market introduction of new features/functions while balancing tradeoffs of risk, cost, and speed - Ensure smooth integration of prototyped features/functions into Air Enterprise Readiness platform for utilization across customer accounts Qualifications Required Skills: - 5+ years of PM experience, specifically in B2B SaaS, ERPs, or highly configurable specialized industry platforms (e.g., FinTech, HealthTech, Construction Tech) - Fluency in backend systems concepts, including authentication/authorization models, data schemas, data orchestration systems, service contracts, and distributed system tradeoffs - Expert in SQL and familiarity with Python and GitLab/GitHub - Experience in shipping infrastructure or platform services - Fluency with technical concepts (microservices, distributed systems, caching, permissions models, data schemas, event systems, etc.) - Familiarity with LLM-based systems and the tradeoffs between deterministic workflows and agentic systems - Strong information architecture instincts, especially in configurable enterprise environments - Strong value orientation and understanding of customer needs - Self-starter with owner mentality - Growth mindset with experience in startup or growth-stage environments - Ability to thrive in a fast-paced, dynamic work environment - Exceptional written and oral communication skills - Bachelor's degree in business or a technology-related field - U.S. Citizenship is required Desired Skills: - Current possession of a U.S. security clearance, or the ability to obtain one with sponsorship - Experience in or around DoD - Experience working on low/no-code workflow or application builders Air is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

🏢 Summary: Full-time Product Manager role focused on driving development and market adoption of the Logistics Application within an enterprise AI-native platform. The role involves defining, prioritizing, and integrating features, collaborating cross-functionally with engineering, data science, sales, and design teams, and scaling solutions across customer environments. Requires strong enterprise software experience, U.S. citizenship, and ability to travel up to 60%. 🗂️ Requirements: U.S. Citizenship, Bachelor's degree in business or technology-related field, 5+ years in product or software role, Experience with enterprise software (B2B or B2G), Ability to travel up to 60%, Strong written and oral communication skills, Ability to work cross-functionally in fast-paced environment 📃 Skills: ProductManagement, EnterpriseSoftware, Logistics, B2B, B2G, ValuePropositionCanvas, BusinessModelCanvas, DataScience, Roadmapping, MarketAnalysis 🏢 Description: Company Description Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed. Job Description We are seeking a customer-oriented product manager to help drive the development of the Logistics Application within the Air Enterprise Readiness platform. This is an individual contributor role reporting to our Director of Product for Logistics. This role is responsible for prioritizing, rationalizing, and integrating new features and existing prototypes into our Logistics Application. You are accountable for delivering valuable and differentiated solutions at scale, end-to-end, within our Air Enterprise Readiness platform. You will also partner with our sales and implementation teams to shape how we talk about our Logistics offering in the marketplace in a way that resonates with our customers. Air's application-aligned product managers are responsible for thinking broadly across the communities we serve and delivering solutions that provide value to a wide range of customers. They partner with account-aligned PMs, as well as our sales and implementation teams, to broadly scale "in-the-field" solutions and improve the configurability and adaptability of our platform. In this role, you will partner with customer-aligned PMs to integrate prototype workflows and capabilities into full production within the Air Enterprise Readiness platform. You should be highly motivated by the market adoption of the solutions you successfully launch. To do this job well, you must possess exceptional judgment when it comes to identifying opportunities to deliver customer value in a productized way, as well as in the relative prioritization of those opportunities. You must work effectively cross-functionally in often ambiguous circumstances, distilling market opportunities to a clear set of objectives and solutions, and articulating the value of those solutions both internally and externally. In a typical week, a product manager could expect to: - Spend several days on site with users, seeking to understand how users across a variety of accounts utilize Air to relieve pain points and triangulate the commonalities to build new valuable workflows in the Air Enterprise Readiness platform. - Draft a clear and compelling articulation of customer problems, and what a good solution to those problems would look like in the Air Enterprise Readiness platform. - Partner with the sales team to help assess opportunities and understand the degree to which customer requirements align with product capabilities and roadmap. - Define how those solutions deliver value across a wide range of customer environments and determine what features are necessary to support broad adoption of the solution. - Collaborate with engineering and design teams to deliver the most promising capabilities. This role is a full-time position located in our Arlington, VA office. This role may require up to 60% travel. Scope of Responsibilities For new product features, define the addressable market size, the competitive landscape, the near-term sales opportunities, and alignment with the overall product strategy Validate concepts using the value proposition canvas/business model canvas, build a comprehensive business case, and communicate and defend the prioritization internally Partner with internal engineering and data science teams to scope the expected associated investment costs/timelines, and ensure that the business can deliver on scope, contractual obligations, and agreed-upon timelines Facilitate market introduction of new features/functions while balancing tradeoffs of risk, cost, and speed Ensure smooth integration of prototyped features/functions into Air Enterprise Readiness platform for utilization across customer accounts Qualifications U.S. Citizenship is required Bachelor's degree in business or technology-related field Required Skills: 5+ years in a product or software role, including experience with enterprise software (B2B or B2G) Strong value orientation, understanding of what matters for our customers, and why Self-starter, owner mentality Ability to thrive in a fast-paced, dynamic work environment Exceptional written and oral communication skills across all levels of the business Desired Skills: Domain experience and expertise in Logistics or related fields Experience in or around DoD Full product lifecycle experience, from early idea through production and maintenance Familiarity with the value proposition canvas and/or business model canvas frameworks An advanced degree in a business or technical field Experience in or exposure to the nuances of a startup or other entrepreneurial environment Current possession of a U.S. security clearance at the Top Secret level, or the ability to obtain one with our sponsorship We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you. Air is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

🏢 Summary: Lead Data Engineer role focused on building scalable AI and cloud-based data solutions in a global environment. The position involves leading data engineering initiatives, designing secure cloud architectures, and supporting AI applications using AWS or Azure. The offer includes hybrid work, professional development opportunities, and a comprehensive benefits package. 🗂️ Requirements: Degree in Computer Science, AI, Data Science, Software Engineering, or equivalent experience, 8+ years in software engineering, 5+ years of backend development with Python, Experience designing and scaling complex data systems, Hands-on experience with AI technologies, Experience with AWS or Azure, Strong knowledge of Python and SQL, Experience with APIs, data integration, automation tools, and data governance, Understanding of data security and compliance standards, Leadership and mentoring experience, English and Polish proficiency (minimum B2) 📃 Skills: Python, SQL, AWS, Azure, Java, APIs, DevOps, AI, RAG, MCP, Automation, DataGovernance 🏢 Description: We are looking for an experienced Lead Data Engineer to drive AI and cloud-based data solutions within a global technology organization. In this role, you will lead data initiatives, shape scalable architectures, and collaborate with both technical teams and senior stakeholders to deliver secure and high-performing systems. Key Responsibilities: Act as the main point of contact for data access and system-related topics with senior stakeholders Lead and mentor data engineers, promoting best practices and technical excellence Design, build, and maintain scalable cloud infrastructure and data pipelines Ensure data quality, security, compliance, and governance across the full lifecycle Develop secure and reliable cloud architectures (AWS/Azure) for AI and enterprise applications Implement monitoring, alerting, disaster recovery, and business continuity solutions Take technical ownership of applications within a DevOps environment Drive automation and self-service capabilities Support AI initiatives (e.g., AI Agents, RAG, MCP) with focus on quality and scalability Stay updated on emerging technologies and advise on strategic data direction Requirements: Degree in Computer Science, AI, Data Science, Software Engineering, or equivalent experience 8+ years in software engineering, including 5+ years of backend development with Python (production level) Strong experience designing and scaling complex data systems Hands-on experience with AI technologies and cloud platforms (AWS or Azure) Solid knowledge of Python, SQL (Java is a plus) Experience with APIs, data integration, automation tools, and data governance Strong understanding of data security and compliance standards Proven leadership and mentoring experience Excellent communication skills in English and Polish (min. B2); German is a plus What We Offer: Opportunity to work in a global, international environment Real impact on AI and cloud solutions in a large-scale organization Access to training platforms and professional development programs Hybrid work model with flexible hours (modern office in central Wroclaw) Comprehensive benefits package (medical & dental care, sports card, life insurance, mental health program) Cafeteria benefits platform with monthly points CSR initiatives, integration events, and employee passion clubs

🏢 Summary: Lead Data Engineer role focused on driving AI initiatives and building scalable cloud-based data architectures in a global environment. The position involves technical ownership of data platforms, designing secure and high-performing systems, and leading data engineering efforts in a DevOps setting. The role emphasizes AI integration, cloud infrastructure, and enterprise-grade data governance. 🗂️ Requirements: Degree in Computer Science, AI, Data Science, Software Engineering or equivalent experience, 8+ years in software engineering, 5+ years of backend development with Python in production, Strong experience designing and scaling complex data systems, Hands-on experience with AI technologies, Hands-on experience with AWS or Azure, Strong knowledge of Python and SQL, Experience with APIs and data integration, Experience with automation tools, Knowledge of data governance practices, Understanding of data security and compliance standards, Proven experience leading and mentoring engineers 📃 Skills: Python, SQL, AWS, Azure, Java, AI, RAG, MCP, APIs, DevOps, Automation, Monitoring, Cloud, DataEngineering, DataPipelines, Governance, Security, Compliance, Backend 🏢 Description: We are looking for an experienced Lead Data Engineer to drive AI and cloud-based data solutions within a global technology organization. In this role, you will lead data initiatives, shape scalable architectures, and collaborate with both technical teams and senior stakeholders to deliver secure and high-performing systems. Key Responsibilities: Act as the main point of contact for data access and system-related topics with senior stakeholders Lead and mentor data engineers, promoting best practices and technical excellence Design, build, and maintain scalable cloud infrastructure and data pipelines Ensure data quality, security, compliance, and governance across the full lifecycle Develop secure and reliable cloud architectures (AWS/Azure) for AI and enterprise applications Implement monitoring, alerting, disaster recovery, and business continuity solutions Take technical ownership of applications within a DevOps environment Drive automation and self-service capabilities Support AI initiatives (e.g., AI Agents, RAG, MCP) with focus on quality and scalability Stay updated on emerging technologies and advise on strategic data direction Requirements: Degree in Computer Science, AI, Data Science, Software Engineering, or equivalent experience 8+ years in software engineering, including 5+ years of backend development with Python (production level) Strong experience designing and scaling complex data systems Hands-on experience with AI technologies and cloud platforms (AWS or Azure) Solid knowledge of Python, SQL (Java is a plus) Experience with APIs, data integration, automation tools, and data governance Strong understanding of data security and compliance standards Proven leadership and mentoring experience Excellent communication skills in English and Polish (min. B2); German is a plus What We Offer: Opportunity to work in a global, international environment Real impact on AI and cloud solutions in a large-scale organization Access to training platforms and professional development programs Hybrid work model with flexible hours (modern office in central Wroclaw) Comprehensive benefits package (medical & dental care, sports card, life insurance, mental health program) Cafeteria benefits platform with monthly points CSR initiatives, integration events, and employee passion clubs

🏢 Summary: Lead Data Engineer serving as an SME to design, implement, and sustain secure, automated data pipelines supporting mission systems across a government software ecosystem. The role focuses on building scalable ETL workflows, defining data exchange interfaces, and ensuring interoperability and RMF compliance in highly regulated environments. You will enable reliable ingestion, transformation, and dissemination of mission-critical data across internal and external systems. 🗂️ Requirements: Bachelor’s degree with 9+ years of experience or Master’s with 7+ years or PhD/JD with 4+ years in relevant field, 7+ years experience in software engineering, systems integration, or platform implementation in DoD, IC, SAP/SCI, or similar environments, Experience designing or implementing data pipelines, ETL workflows, or data integration architectures, Experience with structured and semi-structured data formats, Active Top Secret clearance with ability to obtain SCI and Special Program access, Willingness to undergo polygraph examination 📃 Skills: Python, ETL, JSON, CSV, XML, Apache, NiFi, Airflow, Pandas, NumPy, REST, RMF, PPSM, Palantir, Foundry 🏢 Description: Job Description Seeking a Lead Data Engineer / Mission Data Pipeline to serve as a Subject Matter Expert (SME). You will work directly with government, technical, and industry stakeholders design, implement, and sustain data pipelines that ingest, transform, store, and distribute mission-relevant data across the DIFC2 software ecosystem and external mission partner systems/ You will support the development and delivery of software capabilities that improve data accessibility, mission integration, operational visibility, and cross-system interoperability across a highly dynamic mission environment. The focuses on enabling reliable, automated, and secure data flows that support mission capabilities on operational timelines. This position requires collaboration with mission system stakeholders, platform engineers, and security teams to define data exchange artifacts, develop pipeline implementations, and ensure interfaces comply with Risk Management Framework (RMF) requirements. The engineer will leverage both low-code/no-code ETL technologies and custom software development to implement scalable data pipelines that support the data architecture. Typical job responsibilities Include: Mission-Relevant Data Artifact Identification: Analyze mission workflows and system architecture to identify the data artifacts required to support operational capabilities. Define the structure, semantics, and lifecycle of mission data products within the data architecture. Ensure data artifacts align with architectural standards for interoperability, traceability, and reuse across mission components. Coordinate with External Stakeholders: Serve as the primary technical liaison for defining data exchange interfaces between mission systems. Collaborate with mission partners to define message schemas, data formats, transport mechanisms, and interface expectations. Document data interface specifications to support both system integration and operational sustainment. RMF & Security Documentation Support: Support the RMF process by defining technical details for machine-to-machine data interfaces. Produce or contribute to required RMF artifacts including: Data message descriptions Ports, Protocols, and Services Management (PPSM) entries System topology diagrams and interface documentation Coordinate with cybersecurity engineers to ensure pipeline implementations meet DoW security and compliance requirements. Data Pipeline Development & Sustainment: Design and implement automated data pipelines that ingest, transform, persist, and expose data artifacts for use by internal and external stakeholders. Utilize government-provided data platform infrastructure to build scalable ETL workflows. Develop custom transformation logic when required using appropriate programming languages and data processing frameworks. Expose processed data products through standardized service interfaces such as REST APIs or platform-native services. Data Pipeline Development & Sustainment: Implement data validation, normalization, and transformation logic to ensure accuracy and usability of integrated datasets. Troubleshoot data pipeline failures and implement monitoring, logging, and recovery mechanisms. Optimize pipeline performance to support mission timelines and large-scale data processing requirements. Deliverables & Key Projects Design and implementation of production data pipelines enabling automated ingestion and dissemination of mission data across systems. Technical documentation describing data artifacts, including purpose and operational relevance, source systems and ingestion methods, transformation logic, and destination systems and access interfaces Interface documentation supporting integration with external mission partners. RMF technical artifacts supporting security authorization of data interfaces. Continuous improvement and sustainment of the data pipeline ecosystem to support evolving mission needs. Qualifications 9 years of experience and a Bachelor's degree in Computer Science, Software Engineering, Management Information Systems/Information Systems, or a related discipline; or a Master's degree and 7 years of experience; or a PhD/JD and 4 years of experience. 7+ years of experience supporting software engineering, systems integration, platform implementation, or application development efforts within DoD, IC, SAP/SCI, or other complex mission environments. Experience designing or implementing data pipelines, ETL workflows, or data integration architectures. Experience working with structured and semi-structured data formats (JSON, CSV, XML, etc.). Requires an active Top Secret clearance with the ability to obtain and maintain Sensitive Compartmented Information and Special Program access, as well as a willingness to consent to a polygraph examination. You will wow us even more if you have experience will the following: Proficiency with low-code/no-code data orchestration technologies such as Apache NiFi, Apache Airflow, or similar ETL orchestration tools. Experience implementing data transformation logic using Python and data processing libraries such as Pandas and NumPy. Certification or demonstrated experience as a Palantir Foundry Data Engineer, including use of Code Repositories, Pipeline Builder, AIP Logic, and other platform-relevant technologies Experience designing pipelines that process and fuse large-scale datasets from multiple sources. Familiarity with DoW data architectures, mission system integration, or data interoperability frameworks. Ability to communicate effectively with engineers, architects, operators, and senior Government leadership while translating technical concepts into mission-relevant value. Proven ability to work in highly regulated, fast-moving environments where technical excellence, mission responsiveness, and stakeholder coordination are all critical to success. Blue Sky Innovators, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you are a qualified job seeker with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access http://www.blueskyinnovators.com as a result of your disability. To request an accommodation, please email us at careers@blueskyinnovators.com and provide your name and contact information. Please note: this is only for job seekers with disabilities requesting an accommodation.

🏢 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.

🏢 Summary: Remote Senior DevOps Engineer role focused on modernizing and scaling a cloud-native Data & AI Platform. The position involves refactoring AWS and Airflow infrastructure, implementing Infrastructure as Code for Snowflake, and building next-generation workflow orchestration. The role also supports CI/CD automation and infrastructure for Data Science, ML, and AI systems. 🗂️ Requirements: Strong experience with AWS, Strong experience with Terraform, Hands-on experience with Apache Airflow, Experience with CI/CD tools (GitLab, GitHub Actions, Jenkins), Experience with Snowflake and Infrastructure as Code, Knowledge of modern workflow orchestration tools (Prefect, Dagster, Temporal), Experience supporting Data Science, ML, or AI platforms 📃 Skills: AWS, Terraform, Airflow, Snowflake, GitLab, GitHubActions, Jenkins, Prefect, Dagster, Temporal, CI/CD, IaC, Python 🏢 Description: Senior DevOps Engineer (Data Platform & AI) 📍 Remote from Poland We are looking for a Senior DevOps Engineer to support the evolution of our Data & AI Platform. Key responsibilities: • Refactoring AWS-based Data Platform infrastructure • Refactoring and optimization of Apache Airflow infrastructure • CI/CD runner setup and automation • Infrastructure setup for Data Science and ML pipelines • Infrastructure as Code (Terraform) for Snowflake environments • Design and implementation of a next-generation workflow engine to replace Airflow • Infrastructure setup for AI systems, including MCP servers Requirements: • Strong AWS and Terraform experience • Hands-on experience with Airflow infrastructure • CI/CD expertise (GitLab, GitHub Actions, Jenkins) • Experience with Snowflake and Infrastructure as Code • Understanding of modern workflow orchestration tools (Prefect, Dagster, Temporal, etc.) • Experience supporting Data Science, ML, or AI platforms Nice to have: • GCP / BigQuery exposure • Experience with LLM or AI infrastructure This is an opportunity to build and modernize a cloud-native data platform while helping shape the future AI infrastructure of the organization.