Senior Data Engineer & Analytics Lead

Senior Data Engineer & Analytics Lead

Remote | United States | Full-Time | W-2

Clearance: U.S. Citizenship required; ability to obtain Public Trust

We are seeking a Senior Data Engineer & Analytics Lead to support a high-impact federal data and analytics program. This is a hands-on role for someone who enjoys building scalable data platforms, developing production-grade pipelines, improving data quality, and working closely with analytics and machine learning teams.

Key Responsibilities

• Design, build, and maintain scalable ETL/ELT data pipelines across multiple source systems and data formats.
• Develop data models using Data Vault 2.0, dimensional modeling, and Gold-tier analytics models .
• Work extensively with Azure Databricks, PySpark, Python, SQL, and Delta Lake .
• Implement data quality, reconciliation, deduplication, and validation processes.
• Support Power BI datasets, semantic models, and analytics solutions .
• Optimize data pipelines and queries for performance, reliability, and cost.
• Participate in code reviews, CI/CD, source control, and production deployments .
• Collaborate with data scientists, ML engineers, architects, analysts, and external partners.
• Create and maintain technical documentation, data dictionaries, pipeline specifications, diagrams, and runbooks.
• Provide technical leadership and review partner-developed solutions to ensure production readiness.

Required Qualifications

• 8+ years of experience in data engineering or analytics engineering.
• 3+ years of experience with Azure Databricks or a comparable lakehouse platform .
• Strong hands-on experience with SQL, Python/PySpark, Spark, ETL/ELT, and data modeling .
• Experience with Data Vault 2.0 and/or dimensional modeling .
• Experience with Delta Lake, orchestration, data quality, and performance tuning .
• Familiarity with Unity Catalog, Git/source control, CI/CD, and automated deployments .
• Experience supporting Power BI or enterprise analytics platforms .
• Strong technical communication and documentation skills.
• Bachelor's degree.
• Ability to meet required federal suitability, security, and access requirements.

Preferred

• Experience supporting federal/government data environments .
• Experience with Impact Level 5 (IL-5) or higher environments.
• Azure Data Engineer or Databricks certification.
• Experience with ServiceNow, government financial, audit, or regulated data.
• Experience with Infrastructure as Code and Databricks Asset Bundles.