Data Engineer Jobs

About The Position

Requirements

• 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 (CM) tools such as Git or Subversion.
• Python programming experience with an understanding of modern data processing libraries such as Polars and/or Pandas, Pydantic and related toolsets.
• XML and JSON formats as well as interaction with libraries that support interaction with these formats.
• Markdown, HTML, CSS, and JavaScript experience.
• Understands data velocity, volume, variety, and veracity concepts.
• Experience working with structured and unstructured datasets in operational environments.
• Strong understanding of data modeling, data integration, and database design principles.
• Experienced with the use of Artificial Intelligence (AI) to help accelerate performance.

Nice To Haves

• Security+ Certification.
• Experience designing, developing, and maintaining data pipelines and ETL/ELT processes using programming skills.
• 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 in working with multi-parameter, time-based data series with preference towards Meteorology and Oceanography datasets.
• Experienced in ESRI Technologies such as Portal for ArcGIS, ArcGIS Server, ArcGIS Pro / Desktop tools and 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 in integrating geospatial data systems with enterprise data platforms and APIs such as NOAA’s Environmental Research Division's Data Access (ERDDAP) platform.

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.

Benefits

• Employee ownership
• Generous 401(k)
• Profit sharing
• Health/dental/life/vision insurance benefits
• Engaging assignments
• Educational reimbursement
• Competitive salaries
• Pleasant work environment