Data Engineer

Tria Federal delivers digital services and technology solutions supporting the health and safety of veterans, service members, and civilians. The Data Engineer will support the Department of Veterans Affairs by developing automated data pipelines and API-driven workflows, improving data quality and interoperability, and preparing data for predictive analytics, visualization, and business intelligence.

Responsibilities:

• 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
• 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
• 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
• 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
• 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

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)
• 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
• Databricks Certified Data Engineer
• Microsoft Certified: Azure Solutions Architect Expert