Data Engineer - Active Secret Clearance

Data Engineer - Active Secret Clearance

Posted Today by NasTech Global, Inc.

Negotiable
Undetermined
Remote
Remote or Washington, District of Columbia

Summary: The Data Engineer role requires a professional with an active Secret clearance, capable of working remotely but residing within 100 miles of Washington, DC. The position involves designing and building data platforms in the cloud, with a strong emphasis on AWS architecture and security practices. Candidates should possess significant programming skills and experience in data management.

Key Responsibilities:

  • Design and build Data Lakes and Data Warehouses in the cloud.
  • Implement AWS architecture and security in the Software Development Life Cycle (SDLC).
  • Communicate technical risks and architecture decisions to executive audiences.
  • Develop scalable data platforms and maintain software engineering best practices.

Key Skills:

  • 8 years of experience with a BS/BA, 6 years with an MS/MA, 3 years with a PhD, or 12 years of experience in lieu of a degree.
  • Strong expertise in AWS architecture.
  • Experience with programming languages such as Java, SQL, Scala, Python, and R.
  • Knowledge of database technologies including SQL, NoSQL, Hadoop, Spark, Kafka, and Kinesis.
  • Ability to define schema and write secure, testable, and maintainable code.

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:
Job Title: Data Engineer
Location: Remote, but must live within 100 miles of Washington, DC, as sometimes they will go to Quantico, VA, for meetings
Clearance Required: Active Secret
Job Type: Contract W2

Top Skills
Education: 8 years of experience with a BS/BA, 6 years with an MS/MA, 3 years with a PhD or 12 years of experience in lieu of a degree
Demonstrates strong expertise in AWS architecture, security in the SDLC, and communication of technical risk and architecture decisions to executive audiences.
Experience designing and building Data Lakes, Data Warehouses, and scalable data platforms in the cloud
Experience with programming skills like Java, SQL, Scala, Python, R, defining schema and software engineering best practices, including secure, testable, and maintainable code and database (eg SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)
Thanks and Regards,
Murali Sharma