Makpar
Data Engineer
About this role
Makpar seeks an experienced Data Engineer to design and build enterprise-scale cloud data pipelines for a federal client. You'll develop robust ETL solutions using Python and SQL, implement CI/CD practices, and enable data-driven decision-making across the organization.
What you'll do
- Design and build scalable cloud-based data pipelines and ETL frameworks
- Write and optimize SQL and Python code for data processing and transformation
- Implement CI/CD automation and infrastructure-as-code practices
- Collaborate with data analysts and software developers on analytics solutions
- Ensure data pipeline reliability, security, and performance at enterprise scale
- Support federal client requirements and compliance standards
What they're looking for
- Python programming
- SQL and database design
- ETL frameworks and data pipeline development
- Cloud platforms (AWS, Azure, or GCP)
- CI/CD tools and automation
- Data modeling and schema design
- Version control and Git workflows
- Federal compliance and security practices
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Makpar
Makpar builds identity, credential, access management, and enterprise automation solutions for federal government clients, with expertise spanning ICAM, PKI, privileged access management, and workflow platforms. The company is hiring engineers and developers across cybersecurity infrastructure, cloud integration, .NET development, and enterprise case management to support mission-critical government IT initiatives.
View all jobs at MakparLikely interview questions
- Describe a complex ETL pipeline you've designed; what challenges did you face and how did you optimize performance?
- How do you approach data validation and quality assurance in production pipelines?