Mng. Consultant - Databricks Data Engineering Lead

Location: Arlington, VA

Salary: $ USD Annually - $ USD Annually

Company: Supporting the Federal Gov

Positions: Mid, senior and lead Databricks openings

REMOTE

MUST BE US CITIZEN.

MUST BE PROCESSED FOR E PUBLIC TRUST CLEARANCE

Benefits: Healthcare and 401k

Builds and tests Databricks pipelines, transformations, migration workflows, quality controls, APIs, curated datasets, reconciliation routines, and reusable data products supporting a large federal human-capital data modernization program.

• Build and maintain Databricks ingestion, transformation, orchestration, migration, and data-processing pipelines.
• Develop scalable ETL/ELT solutions using Databricks, Apache Spark, PySpark, Python, SQL, and Delta Lake.
• Implement source-to-target mappings, transformation rules, business logic, data contracts, metadata, lineage, and data-quality requirements.
• Develop migrated data feeds, APIs, curated datasets, reporting layers, and reusable data products.
• Create reconciliation routines and support source-to-target validation, exception analysis, and defect resolution.
• Build unit, integration, regression, performance, and data-quality tests and document technical results.
• Support Git-based development, CI/CD, release management, deployment, monitoring, troubleshooting, and stabilization.
• Analyze and resolve job failures, cluster-performance issues, pipeline bottlenecks, schema changes, and data-quality problems.
• Collaborate with data architects, engineering leads, integration engineers, profiling analysts, testers, security specialists, governance leads, and source-system teams.
• Document reusable code, technical patterns, runbooks, troubleshooting procedures, and lessons learned for later modernization waves.
• Participate in Agile ceremonies, backlog refinement, sprint planning, demonstrations, and technical reviews.

• Bachelor’s degree in computer science, data engineering, information systems, engineering, analytics, or a related field.
• Minimum 4 years of experience in data engineering, software development, ETL/ELT, cloud analytics, or a related technical discipline.
• Hands-on experience with Databricks, Apache Spark, PySpark, Python, SQL, Delta Lake, and workflow orchestration.
• Experience building, testing, and maintaining batch data pipelines, transformations, and curated data layers.
• Experience with enterprise data migration, source-to-target mapping, reconciliation, validation, and data-quality controls.
• Familiarity with Git, CI/CD, automated testing, deployment, monitoring, logging, and troubleshooting.
• Strong analytical, problem-solving, documentation, collaboration, and communication skills.
• Ability to obtain and maintain a Federal Public Trust.

Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.