Senior Data Engineer

5d5 days ago

Makpar

Washington, US · Full-time · $150,000 – $190,000

About this role

Makpar is a comprehensive professional and technical solutions provider for the Federal government. We combine functional and technical expertise in cloud engineering, data management, cybersecurity and emerging technologies to deliver mission success. This role requires expertise in Databricks, SQL, and ETL pipelines to build scalable data frameworks for enterprise decision-making.

Succeed where others fail with our connected and engaged workforce dedicated to clients and the American people. Use our signature “The Makpar Way” consulting methodology to understand agency WHAT, WHY, and HOW. Our mission: solve complex problems to accelerate access to citizen services.

Day-to-day involves building, testing, and orchestrating data pipelines in Databricks. Design and optimize data structures, schemas, and ETL processes while translating business use cases into SQL queries, reports, and dashboards. Manage database objects in development without impacting production.

Automate workflows using Databricks Workflows or Jobs API, integrate code into GitHub/GitLab, and support CI/CD practices. Diagnose data gaps and quality issues, design test cases, and collaborate with developers and analysts for reliable code synchronization. Grow with excellent training, career development, and flexible schedules.

Requirements

Active Secret clearance (required)
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
7+ years of professional experience in data engineering
Expert-level proficiency in Databricks, Apache Spark, and SQL
Experience with Kafka, Airflow, or AWS Glue for ETL
Proficiency in CI/CD pipelines and GitHub/GitLab version control
Knowledge of cloud platforms (AWS, Azure, GCP)
Excellent problem-solving, debugging, and collaboration skills

Responsibilities

Build, test, and orchestrate data pipelines in Databricks
Design and optimize data structures, schemas, and ETL processes
Translate business use cases into SQL queries, reports, and dashboards
Manage database objects in development environments without impacting production
Automate workflows using Databricks Workflows or the Jobs API
Integrate code into GitHub/GitLab and support CI/CD practices
Diagnose data gaps/quality issues and design test cases for validation
Collaborate with developers and analysts to synchronize code and ensure reliability

Benefits

Excellent training and career development opportunities
Flexible work schedules
Generous compensation package
Environments encouraging employees to be themselves, collaborate, and be inquisitive