Data Engineer/Python SQL Developer
About The Position
SierTeK Ltd. is seeking a Data Engineer / Python & SQL Developer to support the design, development, and deployment of data engineering and ETL solutions in a mission-focused environment. The ideal candidate will have advanced technical expertise in Python and SQL, with hands-on experience developing scalable data pipelines and cloud-based integrations using AWS services. This role will also apply strong database design principles, including table and schema design and stored procedure development, while producing high-quality technical documentation and contributing effectively within an Agile delivery environment. Experience supporting U.S. Air Force or Department of Defense (DoD) programs, as well as relevant Air Force credentials, is strongly preferred.
Requirements
- Advanced or expert-level experience developing solutions using Python and SQL.
- Hands-on experience with AWS Lambda, AWS Glue, Amazon S3, and related ETL or cloud data integration technologies.
- Strong understanding of database design, data modeling, and data architecture best practices.
- Experience with table design, stored procedure development, query optimization, and data integrity.
- Demonstrated ability to develop scalable, maintainable, and secure data pipelines.
- Experience producing clear, structured technical documentation for both development and operational purposes.
- Experience working within Agile development teams and using Jira for workflow and delivery management.
- Strong analytical, problem-solving, written, and verbal communication skills.
- Ability to work independently while collaborating effectively within a fast-paced, deadline-driven environment.
- Experience at the Consultant/Senior Consultant level, or equivalent USDC/PDM/Specialist level.
Nice To Haves
- Prior experience supporting Department of Defense (DoD) or U.S. Air Force programs.
- Existing Air Force credentials and/or the ability to work within a secure or controlled government environment.
- Familiarity with secure data handling, compliance-driven delivery, and mission-focused technology programs.
- Experience working within complex enterprise data environments with multiple upstream and downstream integrations.
- Experience supporting large-scale cloud data environments and enterprise ETL architectures.
Responsibilities
- Design, develop, enhance, and maintain data pipelines, ETL workflows, and backend data processing solutions using Python and SQL.
- Implement and support cloud-based data engineering capabilities leveraging AWS Lambda, AWS Glue, Amazon S3, and other AWS services.
- Apply database design and data architecture best practices, including schema development, data modeling, normalization, optimization, and data integrity controls.
- Analyze business and technical requirements and translate them into scalable, maintainable, secure data solutions.
- Develop and maintain technical documentation, including solution documentation, interface specifications, data flow diagrams, and operational procedures.
- Participate in Agile delivery processes, including backlog management, sprint planning, status tracking, and issue resolution using Jira.
- Troubleshoot and resolve data quality, integration, and performance issues across complex data environments.
- Develop and execute testing strategies for ETL pipelines and data workflows.
- Conduct code reviews and provide technical guidance to other Data Engineers.
- Collaborate with developers, architects, analysts, stakeholders, and program leadership to support successful delivery outcomes.
- Contribute to continuous improvement of data engineering practices, processes, and solutions.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
