Data Engineer - Active Secret Clearance

NasTech Global View all jobs
Washington, DC, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$100,000.0 - $245,000.0
Working hours
Regular working hours

Tech stack

Clean Code Principles Java (Programming Language) Amazon Web Services Cloud Computing Computer Programming Databases Data Warehousing R (Programming Language) Apache Hadoop Python (Programming Language) NoSQL Systems Development Life Cycle
+8 more
Scala (Programming Language) Software Construction SQL Databases Apache Spark SC Clearance Data Lakes Apache Kafka Data Management

Requirements

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)

Benefits & conditions

  • $100,000-245,000 per year, + $100,000-245,000 per year Description Are you curious about complex problems and big-picture systems thinking? Do you have Systems Engineering (SE) / Digital Engineering (DE) experience and the desire t…

  • Just now +

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

3:24 min

The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:16 min

Terminology differences between relational and NoSQL databases

Tim Faulkes · LIVE

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · WWC Europe 2026

Videos

See all

Related articles

See all