Data Engineer - Cloud Analytics Solutions
Overview
Makpar seeks a skilled Data Engineer to lead enterprise-scale analytics initiatives for federal clients. This role involves designing and optimizing cloud-based data pipelines to drive data-driven decision-making. The ideal candidate will collaborate with cross-functional teams to deliver secure and scalable data solutions.
What You'll Do8
- 1Build test and maintain data pipelines using Python
- 2Design and optimize data structures and ETL processes
- 3Develop SQL queries and dashboards to support business needs
- 4Manage database objects across development and testing environments
- 5Automate workflows using Databricks Workflows or Jobs API
- 6Integrate code into GitHub/GitLab and support CI/CD processes
- 7Troubleshoot data quality issues and perform validation
- 8Collaborate with developers and analysts to deliver reliable solutions
Requirements10
- 1Active Secret clearance (mandatory)
- 2Bachelor’s degree in computer science or related field
- 33-5 years of professional data engineering experience
- 4Proficiency with Databricks Apache Spark and SQL
- 5Experience with Python and ETL tools like Airflow Kafka or AWS Glue
- 6Familiarity with GitHub GitLab and CI/CD pipelines
- 7Cloud platform experience with AWS Azure or GCP
- 8Strong analytical and problem-solving abilities
- 9Excellent communication and teamwork skills
- 10Residency in Washington DC Maryland or Virginia
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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