Who we are:
Tria Federal delivers digital services and technology solutions that support the health and safety of veterans, service members and civilians. For two decades, federal agencies have relied on Tria companies to advance their critical missions and modernize their systems, so that they can uphold their commitment to the American people. Today, we are pushing the boundaries of possibility through partnerships and investments in artificial intelligence and emerging technologies, developing solutions for the biggest challenges that government will face tomorrow.
We are proud to employ and support military veterans who bring mission-first mindset, technical expertise, and leadership qualities that strengthen our work. Veterans, transitioning service members, and military spouses are strongly encouraged to apply.
Tria Federal (Tria) is seeking a Data Engineer to support the Department of Veterans Affairs (VA), Office of Integrated Veteran Care (IVC) and Veterans Community Care Program (VCCP). The Data Engineer will provide hands-on technical support to strengthen data automation, integration, validation, and reporting capabilities that enable operations and contract readiness. This role will focus on developing and maintaining automated data pipelines, improving data quality and interoperability, and translating complex process workflows into fully automated technical solutions by designing API-driven workflows and consolidating data from diverse data sources. The ideal candidate is a senior data engineer who will help the clients maximize the value of their data across the full analytics lifecycle, including data querying and wrangling, predictive analytics, and supporting connections to data visualization and business intelligence (BI) tools.
Basic Requirements:
- 3–6 years of experience in data engineering, analytics engineering, or a related technical role.
- Bachelor’s degree in computer science, Information Systems, Data Science, Engineering, or a related field (or equivalent experience).
- Experience developing, validating, and deploying data engineering solutions using Python, SQL, Databricks, and modern data lake architectures.
- Experience designing API-driven workflow automations and data pipelines.
- Strong understanding of statistical modeling, predictive analysis, and machine learning.
- Experience with JSON, RESTful services, and API data integrations.
- Experience working with relational data models, data validation logic, and schema design.
- Strong analytical and problem-solving skills, with attention to data quality and detail.
- Ability to communicate technical concepts clearly to non-technical stakeholders.
- Experience working in Agile or iterative delivery environments
- MS Office (Work, Excel, PowerPoint, Visio, SharePoint, Teams).
Additional Qualifications:
- Experience supporting federal health, VA, or CMS data environments.
- Experience creating development requirements and generating complex and detailed systems architecture products.
- Experience parsing or transforming EDI claims data (e.g., 837, 835, 278).
- Experience using ArcGIS or similar GIS tools to perform drive‑time and distance calculations for network, access, or provider‑related analyses.
- Experience supporting small teams while delivering high-quality analytics solutions.
- Experience supporting data governance, data documentation, or knowledge-transfer efforts.
Relevant Certifications:
- Databricks Certified Data Engineer
- Microsoft Certified: Azure Solutions Architect Expert
Responsibilities:
- Data Automation and Integration
- Develop and maintain automated data pipelines using Python, SQL, Databricks, APIs, and modern data lake architectures.
- Design API driven workflow automations to translate complex business processes into scalable technical solutions.
- Support API integrations to enable provider-level validation, waiver processing, and workflow automation.
- Data Quality and Validation
- Identify, analyze, and resolve data inconsistencies, schema mismatches, and data quality issues across Dataverse, SharePoint, and external data sources.
- Implement standardized provider data mapping, and schema design to ensure accuracy and completeness.
- Support compliance with access standards and operational reporting requirements through improved data accuracy and completeness.
- Reporting and Analytics
- Build analytics ready datasets to support predictive analytics, and proactive monitoring.
- Enable BI and visualization capabilities by preparing high quality data for Power BI and other reporting tools.
- Use ArcGIS or similar GIS tools to perform drive time and distance calculations for access and provider analytics.
- Integrate automation outputs and validation results into reporting frameworks to enhance transparency and decision making.
- Documentation and Knowledge Transfer
- Document data flows, system configurations, integration logic, and data models to support long-term sustainability.
- Develop and maintain technical documentation, including data dictionaries and configuration guides.
- Participate in knowledge-transfer sessions to upskill client team members and other contractors on analytics and data engineering best practices.
- Collaboration and Support
- Work closely with project team members, analysts, product owners, and government stakeholders to support execution goals.
- Provide regular status updates and contribute to weekly project summaries and deliverables.
- Escalate technical risks and dependencies as appropriate to project leadership.
Why Tria?
What defines the Tria brand is more than just our dedication to excellence in our craft; it’s our incredible team of dedicated, talented, and passionate people that make Tria so exceptional. As people powering possible, we are all partners in our team’s shared success.
As a company that cares about people, we seek to cultivate a culture in which all can thrive personally and professionally. We offer a top-tier benefits package to invest in your physical, mental, and financial health and wellness so that you can be your best self - at work and in life. At Tria, we are growth-minded, entrepreneurial in spirit, and committed to fostering a culture of inclusion and opportunity for all. Whatever your background, your role, your department, or stage in your professional journey, here you will have opportunities to learn new skills, seize new challenges, and advance your career as we grow.
California Consumer Privacy Act (CCPA)
We are committed to protecting your privacy. As part of our compliance with the California Consumer Privacy Act (CCPA), we want to inform you about how we collect, use, and protect your personal information during the job application process. For more details, please review https://www.oag.ca.gov/privacy/ccpa.
Skills Required
- 3-6 years of experience in data engineering, analytics engineering, or a related technical role
- Bachelor's degree in computer science, information systems, data science, engineering, or a related field, or equivalent experience
- Experience developing, validating, and deploying data engineering solutions using Python, SQL, Databricks, and modern data lake architectures
- Experience designing API-driven workflow automations and data pipelines
- Strong understanding of statistical modeling, predictive analysis, and machine learning
- Experience with JSON, RESTful services, and API data integrations
- Experience with relational data models, data validation logic, and schema design
- Strong analytical and problem-solving skills with attention to data quality and detail
- Ability to communicate technical concepts clearly to non-technical stakeholders
- Experience working in Agile or iterative delivery environments
- Proficiency with Microsoft Word, Excel, PowerPoint, Visio, SharePoint, and Teams
- Experience supporting federal health, VA, or CMS data environments
- Experience creating development requirements and complex systems architecture products
- Experience parsing or transforming EDI claims data, including 837, 835, or 278 transactions
- Experience using ArcGIS or similar GIS tools for drive-time and distance calculations
- Experience supporting small teams while delivering analytics solutions
- Experience supporting data governance, data documentation, or knowledge-transfer efforts
- Databricks Certified Data Engineer certification
- Microsoft Certified: Azure Solutions Architect Expert certification
Tria Federal Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tria Federal and has not been reviewed or approved by Tria Federal.
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Retirement Support — The package includes a 401(k) with an employer match and immediate vesting, characterized as generous and automatic. The retirement plan is repeatedly described as a standout element within the overall offering.
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Healthcare Strength — Core medical, dental, vision, life, and disability coverage are provided, with materials describing minimal out-of-pocket costs. Health insurance is often characterized as good overall, particularly for individual coverage.
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Leave & Time Off Breadth — PTO is described as generous with accrual that increases with tenure and includes 12 paid holidays, alongside paid parental leave. These components indicate a broad time-off offering.
Tria Federal Insights
What We Do
Tria Federal (Tria) delivers digital services and technology solutions that support the health and safety of veterans, service members and civilians. For two decades, federal agencies have relied on Tria companies to help them complete their critical missions and modernize their systems, so that they can uphold their commitment to the American people. Today, our technology innovation group Tria Labs is pushing the boundaries of what is possible through partnerships and investments in artificial intelligence and emerging technologies, developing solutions for the biggest challenges that will face government tomorrow.
