Build, test, and orchestrate Databricks data pipelines.
Design/optimize data structures, schemas, and ETL processes.
Translate business use cases into SQL queries, reports, and dashboards.
Diagnose data gaps/quality issues and design tests.
Manage database objects in development without impacting production.
Automate workflows with Databricks Workflows or the Jobs API; integrate with GitHub/GitLab and CI/CD.

🎯 Requirements

Active Secret clearance (required).
Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.
7+ years of professional experience in data engineering.
Expert Databricks, Apache Spark, and SQL.
Experience with Kafka, Airflow, or AWS Glue for ETL.
Proficiency in CI/CD pipelines and GitHub/GitLab; cloud platforms AWS/Azure/GCP.

🎁 Benefits

Great benefits package and training opportunities.
Flexible work schedules and career development.
Inclusive, engaged workplace; Makpar is an Equal Opportunity Employer.

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