Senior Data Engineer

Makpar has an exciting opportunity for a Senior Data Engineer to join our growing team.his role requires expertise in Databricks, SQL, and ETL pipelines, with strong experience building scalable data frameworks to support enterprise decision-making., Plan, design, build, test, deploy, and maintain highly scalable web-based services utilizing modern 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.

Active Secret clearance (mandatory requirement). 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. Clearance Requirement: Active Secret clearance (mandatory requirement).