Data Engineer

A leading geospatial expert working with Defense, Intelligence, and Federal clients to achieve mission success and solutions for mission-critical programs.
Data
Senior Software Engineer
In-Person
7+ years of experience
Defense · Enterprise SaaS

Description For Data Engineer

Reinventing Geospatial (RGi) is seeking a Senior Data Engineer to join their team working on a cloud-based, multi-domain Common Data Fabric (CDF) for the DoD Intelligence Community. This role sits at the intersection of software development and geospatial intelligence, where you'll be responsible for designing and maintaining complex data pipelines that enable data sharing across the entire IC community.

The position requires expertise in data engineering, with a focus on building scalable solutions using technologies like Apache Airflow, Spark, and various cloud platforms. You'll be working with cutting-edge R&D efforts and large mission programs, implementing data processing/optimization and dissemination techniques. The role demands strong technical skills in Python, SQL, and big data technologies, combined with DevOps practices including CI/CD, Docker, and Kubernetes.

As a senior member of the team, you'll have the opportunity to mentor junior engineers while working on mission-critical programs that directly impact national defense. The company offers an exceptional work environment that combines the energy of a startup with the stability of an established firm, plus comprehensive benefits including full healthcare coverage, 401k matching, and professional development opportunities.

The position requires an active Top Secret clearance and US citizenship, reflecting the important nature of the work. RGi provides a collaborative culture focused on innovation and making an immediate impact for the nation's soldiers and analysts. This is an excellent opportunity for a seasoned data engineer looking to apply their skills to meaningful projects while working with advanced technologies in the defense and intelligence sector.

Last updated 4 days ago

Responsibilities For Data Engineer

  • Lead the design, development, and maintenance of complex, scalable data pipelines
  • Optimize and troubleshoot data pipelines for performance, reliability, and scalability
  • Collaborate with engineers and analysts to understand data requirements
  • Implement and manage ETL processes using advanced tools
  • Ensure data quality and consistency through testing, validation, and governance practices
  • Deploy, monitor, and maintain data infrastructure in cloud environments
  • Implement DevOps practices to streamline data workflows
  • Mentor and provide guidance to junior data engineers
  • Stay up-to-date with industry trends and emerging technologies

Requirements For Data Engineer

Python
PostgreSQL
MySQL
Kubernetes
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 7+ years of experience in data engineering or related roles
  • Advanced proficiency in SQL and experience with relational databases
  • Extensive experience with big data technologies (Hadoop, Spark)
  • Deep understanding of cloud platforms (AWS, GCP, Azure)
  • 2+ Experience in Python Development
  • Strong understanding of DevOps practices and tools
  • Active Top Secret clearance with ability to obtain SCI access
  • US Citizenship Required
  • Strong communication and leadership abilities

Benefits For Data Engineer

Medical Insurance
Dental Insurance
401k
Parental Leave
Education Budget
  • 100% paid employee healthcare & dental insurance
  • Paid parental leave
  • 401k with matching
  • Escalating vacation time
  • Referral bonuses
  • Tuition reimbursement
  • Professional development training
  • Free beverages and snacks
  • Weekly catered lunches and breakfast on Fridays

Interested in this job?

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