Senior Data Engineer

Radiance Technologies, Inc.; United States; On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

401(k)

Profit sharing

Health/dental/life/vision coverage

Educational reimbursement

Job summary

Radiance Technologies, Inc. is seeking a Senior Data Engineer to enhance capabilities for NAVOCEANO at NASA's Stennis Space Center. The role involves developing and optimizing software applications and data platforms with a focus on scalability and data quality.

Preferred candidates will have a B.S. in a related field, active security clearance, and extensive experience in software development. Collaborating with various stakeholders will be essential to deliver data-driven solutions.

Qualifications

• Active Secret Clearance or ability to obtain it.
• 7–10+ years of experience with algorithmic/software application development.
• Experience with structured and unstructured datasets.

Responsibilities

• Design and maintain scalable data architectures.
• Integrate data from diverse sources into enterprise systems.
• Collaborate with scientists and mission stakeholders.

Skills

Python programming

Data modeling

Software application development

Data integration

Cloud technologies

Education

B.S. in Computer Science or related field

Tools

Git

Polars

Pandas

PostgreSQL

Job description

Radiance Technologies is an employee‑owned company that offers a competitive benefits package, including 401(k), profit sharing, health/dental/life/vision coverage, educational reimbursement, and a supportive work environment.

About the Role

The Senior Data Engineer will advance capabilities for the Naval Oceanographic Office (NAVOCEANO) and Commander, Naval Meteorology and Oceanography Command (CNMOC) by developing, integrating, administrating, and optimizing software applications and data platforms at NASA’s Stennis Space Center. The role supports the design, development, and maintenance of mission‑critical software solutions, data pipelines, data storage architectures, and analytics capabilities. Majority of tasking is performed on‑site.

Responsibilities

• Design and maintain scalable data architectures, pipelines, and automated workflows.
• Integrate data from diverse operational, scientific, and geospatial sources into enterprise systems.
• Ensure data quality, integrity, availability, and security across the data lifecycle.
• Collaborate with scientists, analysts, software developers, and mission stakeholders to deliver data‑driven capabilities.
• Help lead the design, development, testing, deployment, and sustainment of software applications supporting NAVOCEANO and CNMOC missions.
• Support modernization efforts involving cloud technologies, geospatial systems, and advanced analytics platforms.
• Mentor junior engineers and contribute to technical strategy and best practices.

Required Qualifications

• B.S. in Computer Science, Software Engineering, Data Engineering/Data Science, or a related field.
• Active Secret Clearance or the ability to obtain an Interim Secret Clearance prior to start.
• 7–10+ years of experience with algorithmic and software application development.
• Structured programming development using configuration management tools such as Git or Subversion.
• Python programming experience, including modern data processing libraries (Polars, Pandas, Pydantic, etc.).
• Experience with XML, JSON, Markdown, HTML, CSS, and JavaScript.
• Understanding of data velocity, volume, variety, and veracity concepts.
• Experience with structured and unstructured datasets in operational environments.
• Strong understanding of data modeling, data integration, and database design principles.
• Experience with Artificial Intelligence (AI) to accelerate performance.

Preferred Qualifications

• Security+ Certification.
• Experience designing, developing, and maintaining data pipelines and ETL/ELT processes.
• Experience building and maintaining large‑scale data ingestion, transformation, and analytics workflows.
• Experience with data orchestration and automation tools.
• Knowledge of data governance best practices.
• Strong background with multi‑parameter, time‑based data series, especially meteorology and oceanography datasets.
• Experience in ESRI technologies (Portal for ArcGIS, ArcGIS Server, ArcGIS Pro/ Desktop, ESRI Workflow Manager).
• Experience with cybersecurity best practices and DISA STIG checklists.
• Experience with container technologies and cloud platforms.
• Knowledge of RDBMS databases such as PostgreSQL with PostGIS, SQL Server, or Oracle.
• Experience integrating geospatial data systems with enterprise data platforms and APIs such as NOAA’s ERDDAP.

Equal Opportunity Statement

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.