About the role
TL;DR
Design, build, and optimize cloud-based data pipelines using Python and SQL.
- •Makpar is seeking an experienced Data Engineer to support a federal client in advancing enterprise-scale analytics and data-driven decision-making.
- •The ideal candidate will design, build, and optimize cloud-based data pipelines.
- •Key Responsibilities Build, test, and maintain data pipelines using Python.
- •Design and optimize data structures, schemas, and ETL processes.
- •Develop SQL queries, reports, and dashboards to support business needs.
- •Automate workflows using Databricks Workflows or Jobs API.
- •Collaborate with developers, analysts, and stakeholders to deliver reliable data solutions.
- •Requirements Active Secret clearance (mandatory requirement).
- •Local Residency in Maryland, Virginia or Washington, DC.
- •Bachelor’s degree in computer science, Data Engineering, Information Systems, or a related field. 3–5 years of professional experience in data engineering.
- •Experience with Databricks, Apache Spark, and SQL.
Required skills
PythonSQLDatabricksSparkAWSAzureGoogle CloudCI/CD
Nice-to-have skills
Airflow
Domain expertise
governmentconsulting
Tech stack
PythonSQLDatabricksSparkAirflowAWSAzureGoogle Cloud
