May 6, 2026
Lead Data Platform Engineer
Senior • On-site
Pittsburgh, PA
Company Description
Job Description
Scope of Responsibilities
- Design and implement platform architecture enhancements to support scalability and reliability
- Design, build, maintain, and support data platform solutions to enable efficient data consumption across functional teams, including AI/ML, Data Science, and Software
- Evaluate and integrate emerging technologies to improve the data platform
- Collaborate with teams across the organization to understand business needs and translate them into data solutions
- Mentor junior engineers by providing code reviews, guidance, and technical leadership through promotion of engineering best practices
Qualifications
- U.S. Citizenship is required
- Bachelor's degree in Computer Science, Mathematics or a related technical field
- 5+ years of experience in building and maintaining scalable data platforms or services
- Strong proficiency in Python and SQL
- Proven experience in architecting and implementing data pipeline frameworks, including orchestration
- Solid understanding of data security and governance best practices
- Hands-on with big data frameworks, such as Apache Spark
- Knowledge of cloud-native data lake/lakehouse architectures
- Demonstrated ability to collaborate with stakeholders to deliver data platform solutions that support AI, machine learning, data science, and web applications
- Strong analytical skills and attention to detail
- Ability to work independently in a fast-paced environment
- A passion for solving complex problems and building sustainable, scalable systems
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience using Amazon Web Services
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Working knowledge of large (multiple terabytes) amounts of data
- 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.
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.
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In a typical week, an AI/ML product manager could expect to: Spend time on site with users, seeking to understand their pain points and triangulate the commonalities where AI/ML can automate manual processes, enhance decision-making, or provide predictive insights Write detailed product requirements documents (PRDs) and user stories for AI/ML features Collaborate with data science and AI/ML engineering teams to assess the feasibility of proposed solutions Partner with designers and Application PMs to integrate AI/ML capabilities seamlessly into existing Air workflows, ensuring models enhance rather than disrupt user experiences Work with the sales team to articulate the value proposition of AI/ML features to prospective customers and understand market demand for intelligent automation Define success metrics for AI/ML initiatives Scope of Responsibilities Define and communicate the AI/ML product strategy and roadmap aligned with Air's positioning, mission, and customer needs Identify and prioritize high-impact opportunities where AI/ML can transform user workflows Validate concepts using the value proposition canvas/business model canvas, build a comprehensive business case, and communicate and defend the prioritization internally Conduct market research and competitive analysis to inform AI/ML product positioning Partner with data science, AI/ML, and software engineering teams to scope the expected associated investment costs/timelines, and ensure that the business can deliver on Facilitate market introduction of new features/functions while balancing tradeoffs of risk, cost, and speed Ensure smooth integration of prototyped features/functions into Air for utilization across customer accounts This is a full-time team member position, working in one of our offices at our Arlington, VA or Pittsburgh, PA locations. This role may require up to 40% travel Qualifications U.S. Citizenship is required Required Skills: 5+ years of product management experience with at least 3 years focused on AI/ML products or data-driven solutions Experience with ML development lifecycle, including data preparation, model training, validation, deployment, and monitoring Proven track record of successfully launching AI/ML products or features in production environments 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 Bachelor's degree in business or a technology-related field Desired Skills: Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship Experience in or exposure to the nuances of a startup or other entrepreneurial environment Experience in or around the DoW Full product lifecycle experience, from early idea through production and maintenance Familiarity with the value proposition canvas and/or business model canvas frameworks Advanced degree in a business or technical field 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. 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.
Technology

Air
Director of Product Operations
Senior
On-site
Pittsburgh, PA
🏢 Summary: Full-time Director of Product Operations role focused on building and scaling product operations processes in a high-growth tech environment supporting defense-related software. The position partners with product, engineering, design, and go-to-market teams to optimize workflows, drive planning cycles, implement tools, and enable data-informed product delivery. This individual contributor role reports to the SVP of Product and requires U.S. Citizenship. 🗂️ Requirements: U.S. Citizenship, 7+ years experience in product operations, program management, or product management in high-growth tech environments, Strong understanding of product development methodologies, Experience building scalable systems, workflows, and documentation from scratch, Experience leading planning cycles, roadmap reviews, and KPI development, Strong analytical skills and ability to create performance dashboards and reporting, Familiarity with Jira and Confluence, Bachelor's degree 📃 Skills: Jira, Confluence, KPI, Analytics, Roadmapping, Documentation, ProjectTracking, Reporting 🏢 Description: Company Description Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science & Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. Job Description We are looking for an experienced and strategic Director of Product Operations to build and lead our product operations function. In this critical leadership role, you will partner closely with product, engineering, design, and go-to-market teams to scale our product development processes, optimize cross-functional alignment, and enable the product team to operate more effectively and efficiently. You'll serve as the connective tissue between our goals and product delivery, ensuring the product organization is data-informed, aligned, and equipped to deliver high-impact outcomes. This is an individual contributor role reporting to the SVP of Product. In order to do this job well, you must possess exceptional judgment when it comes to identifying opportunities to improve the productivity of the product organization especially as it relates to other teams across the organization. You must work effectively across teams in often ambiguous circumstances, distilling operational problems into a clear set of objectives and solutions, and articulating the value of those solutions at all levels of the organization. In a typical week, you could expect to: Run cross-functional meetings to align on priorities, unblock teams, or drive quarterly planning initiatives Facilitate product team rituals, like planning sessions, weekly business reviews, and kick-offs, ensuring consistency and continuous improvement Act as the "connective tissue" between product, engineering, design, sales, and implementation teams—making sure teams are aligned and communicating efficiently Analyze our data to produce performance dashboards, KPIs, and insights that inform product strategy Prepare executive updates or product reviews that summarize progress, risks, and outcomes across multiple initiatives This role is a full-time position located in our Arlington, VA, or Pittsburgh, PA offices, and may require up to 20% travel. Scope of Responsibilities Design, optimize, and implement product development processes that can grow with the company – balancing structure with flexibility Lead quarterly and annual planning cycles, roadmap reviews, and KPI development to align stakeholders around shared goals Identify and remove friction in product workflows; implement systems that help teams move faster with clarity and confidence Partner with analytics to define success metrics, track performance, and deliver actionable reporting that informs decisions at all levels Ensure tight coordination between product, engineering, design, marketing, sales, and implementation teams—connecting our goals to product delivery Own the evaluation and implementation of key product tools (roadmapping, documentation, project tracking, feedback intake) Support product hiring, onboarding, and learning; help build a high-performing, well-supported product team Qualifications U.S. Citizenship is required Required Skills: 7+ years of experience in product operations, program management, or product management roles in high-growth tech environments Strong understanding of product development methodologies Experience building scalable systems, workflows, and documentation from scratch Exceptional written and oral communication skills across all levels of the business Highly analytical and detail-oriented, with a passion for operational excellence Comfort with ambiguity and a bias toward action Familiarity with tools like Jira, Confluence, etc. Ability to thrive in a fast-paced, dynamic work environment Self-starter, owner mentality Strong value orientation, understanding of what matters for our customers, and why Bachelor's degree Desired Skills: 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 Advanced degree in a business or technical field Experience in or exposure to the nuances of a startup or other entrepreneurial environment 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. Govini 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.
Technology

Air
Data Engineer
Mid
On-site
Pittsburgh, PA
🏢 Summary: Full-time Data Engineer role focused on leading the data lifecycle strategy, transforming and governing large-scale datasets, and integrating advanced analytics and machine learning models into a production data infrastructure. The position involves building high-quality, traceable data architectures and enabling real-time, data-driven decisions for government-related markets. Based in Pittsburgh, PA, with limited travel requirements. 🗂️ Requirements: U.S. Citizenship, Bachelor’s degree in Computer Science, Mathematics, or related technical field, 3–5 years of experience programmatically transforming data, Experience with RDBMS, Advanced SQL programming skills, Proficiency with CSV, XML, and JSON data formats, Strong analytical skills and attention to detail, Ability to work independently with minimal supervision 📃 Skills: SQL, RDBMS, CSV, XML, JSON, AWS, DataModeling, DataGovernance, ETL, MachineLearning 🏢 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 an exceptional and experienced data engineer who shares our passion and obsession with quality. You'll be a core member of our product and engineering team dedicated to helping our clients replace time-consuming, manual processes to reach informed real-time decisions about government markets, competitors, and agency relationships. We need a skilled and dedicated data engineer to join our team to lead us in uncovering truth and meaning in data. You must be a hands-on engineer with a strong understanding of both data management and governance standards. You must also have strong interpersonal skills to work cross-functionally across internal teams as well as directly with end users and platform SMEs. This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 10% travel. Scope of Responsibilities Define and lead the data lifecycle strategy across data acquisition, data ingestion, data cleansing, normalization and linkage. Ensure key entities within datasets are identified, resolved and linked to existing entities within the current master data repository. Apply various techniques to produce solutions to large-scale optimization problems, including data pre-processing, indexing, blocking, field and record comparison and classification. Improve data sharing, increase data repurposing and improve cost efficiency associated with data management efforts. Build best practices that help with chain of custody of data so it can be easily traced back to the source for accuracy and consistency. Work across functional teams to understand advanced statistical, machine learning, and text processing models and incorporate them into the existing data engineering infrastructure. Perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns. Work directly with users as well as SMEs to establish, create and populate optimal data architectures and structures, as well as articulate techniques and results using non-technical language. Qualifications U.S. Citizenship is required. Bachelor's degree in Computer Science, Mathematics or a related technical field. Required Skills: 3-5 years experience with programmatically transforming data. Experience with RDBMS. Advanced SQL programming skills. Proficient usage of common data formats such as CSV, XML, and JSON. Strong analytical ability and attention to detail. Ability to work independently with little supervision. Desired Skills: Current possession of a U.S. security clearance, or the ability to obtain one with sponsorship. Experience using Amazon Web Services. Working knowledge with large (multiple terabytes) amounts of data. 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.
Technology
VirtusLab
Data Engineer/Consultant (Senior/Staff)
Senior
Remote
Krakow, Poland
21,000 - 31,080 PLN
🏢 Summary: Design and build a modern Data Platform from scratch for an insurance client, establishing a governed, production-ready Snowflake environment and enabling AI capabilities. The role covers full lifecycle ownership from architecture and data modelling to pipeline implementation and post-launch operations. You will develop scalable data ingestion and processing solutions while promoting best practices, automation, and CI/CD standards. 🗂️ Requirements: Hands-on experience with Python, Proven experience with data warehouse solutions (Snowflake, BigQuery or Redshift), Experience with Databricks or data lakehouse platforms, Strong expertise in data modelling and ETL/pipeline design, Experience with cloud platforms (AWS, GCP or Azure), Experience with cloud data services (S3, GCS, ABS, EMR, Dataproc, MWAA, Composer, ADF or AWS Glue), Ability to design and maintain data quality and governance standards, Experience working in Agile environments 📃 Skills: Python, SQL, Snowflake, Databricks, BigQuery, Redshift, Azure, AWS, GCP, Terraform, dbt, Spark, PowerBI, ADF, Glue, EMR, Dataproc, MWAA, Composer 🏢 Description: We are #VLteam – tech enthusiasts constantly striving for growth. The team is our foundation, that’s why we care the most about the friendly atmosphere, a lot of self-development opportunities and good working conditions. Trust and autonomy are two essential qualities that drive our performance. We simply believe in the idea of “measuring outcomes, not hours”. Join us & see for yourself! About the role The majority of these roles will be at the forefront of client collaboration and building VL positions in the industry (spearheading projects). You will work closely and directly with a different specialist from the client side. Collaborate with stakeholders to define requirements, develop data pipelines and data quality metrics. You will participate in defining the requirements and architecture for the new platform, implement the solution, and remain involved in its operations and maintenance post-launch Your work will also introduce data governance and management, laying the foundation for accurate and comprehensive reporting that was previously impossible. Build data ingestion & processing pipelines. All of the above with a strong focus on the customer’s needs. Flexibility in action and the ability to overcome obstacles are highly valued in this role. View available projects: Project JetBrains Projectt scope The client is introducing Atlan as a new internal Data Catalogue solution and uses Glean as a company-wide unified search platform for thousands of employees. To ensure a smooth transition from our existing Knowledge Base and OpenMetadata setup, we need to index Atlan assets into Glean so that metadata for databases, tables, metrics, and reports is easily discoverable through search. Tech stack Python, System & Data Integration, Kubernetes, System design, Infrastructure mindset Skills We’re looking for a Data Platform Engineer with experience in data platforms and system design at scale. We expect a track record in designing integration architectures for external systems and streamlining data migration/ingestion. As a Data Platform Engineer, you will design and implement a solution that: Periodically indexes Atlan metadata assets into Glean, runs on a configurable schedule (hourly/daily), is production-ready, observable, and maintainable by our DevOps team after handover. Moreover, ensure compliance and data governance at the appropriate level in line with the company’s standards. What we expect in general A proactive approach and flexibility in action were a must Very good command of English (written and spoken) Hands-on experience with Python Proven experience with data warehouse solutions (e.g., BigQuery, Redshift, Snowflake) Experience with Databricks or data lakehouse platforms Strong background in data modelling, data catalogue concepts, data formats, and data pipelines/ETL design, implementation and maintenance Ability to thrive in an Agile environment, collaborating with team members to solve complex problems with transparency Experience with AWS/GCP/Azure cloud services, including: GCS/S3/ABS, EMR/Dataproc, MWAA/Composer or Microsoft Fabric, ADF/AWS Glue Experience in ecosystems requiring improvements and the drive to implement best practices as a long-term process Experience with Infrastructure as Code practices, particularly Terraform, is an advantage Proactive approach Don’t worry if you don’t meet all the requirements. What matters most is your passion and willingness to develop. Apply and find out! A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package Virtusity / in-house training And a lot more! Apply now