Technical Lead – Data Engineering, Analytics
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Job Description
Technical Lead delivering enterprise data engineering and analytics solutions for Department of Veterans Affairs. Lead teams to architect systems that strengthen mission operations for Veterans.
Responsibilities:
- Lead Enterprise Data Solution Delivery by overseeing the design, architecture, and delivery of end-to-end data engineering and analytics solutions.
- Oversee development of ETL/ELT pipelines, data models, database structures, APIs, and BI dashboards that support enterprise-wide analytics and reporting.
- Provide technical direction to engineering teams, ensuring solutions align with VA mission needs and federal security standards.
- Develop complex, high-volume data pipelines and automated workflows using Python, SQL, PowerShell, and cloud-native tools.
- Modernize legacy data systems and migrate workloads into scalable cloud or hybrid environments using Azure.
- Optimize data ingestion, transformation, and validation processes to support operational and analytical workloads.
- Develop Power BI solutions including semantic models, DAX calculations, and enterprise distribution methods.
- Build dashboards, analytics modules, and self-service reporting tools that improve situational awareness and decision support.
- Design OLAP structures and data models that enable high-performance, large-scale analytics.
- Implement DevSecOps practices, CI/CD pipelines, and automated testing frameworks using Azure DevOps and Git.
- Establish and maintain data quality processes, monitoring systems, optimization strategies, and performance metrics.
- Ensure compliance with VA, NIST, and federal cybersecurity requirements across all data and reporting solutions.
- Partner with VA leadership, analysts, engineers, and program teams to translate mission requirements into technical solutions.
- Provide mentorship and guidance to junior engineers and analysts.
Requirements:
- 8+ years of related experience
- Proven experience leading technical teams and delivering enterprise-level data solutions.
- Strong proficiency with Python, SQL, REST APIs, FastAPI, Power BI (desktop and service), and PowerShell.
- Hands-on experience architecting cloud or hybrid data environments, particularly with Azure and Azure SQL.
- Demonstrated ability to build and optimize ETL pipelines, data transformations, and automated workflows.
- Experience implementing CI/CD, DevSecOps, testing automation, and Git-based development processes.
- Knowledge of federal data security, compliance, and secure development practices.
- Bachelor’s degree in a technical field (Information Systems, Computer Science, Engineering, or related discipline).
- Master’s degree preferred (Data Analytics Engineering, Predictive Analytics, or related field).
Benefits:
- Comprehensive health and wellness packages.
- Professional development, internal mobility programs, and upskilling opportunities.
- Full-flex work week to own your priorities at work and at home.
- Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
- Short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available.
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