Scientific Programmer at Entarian

College Park, Maryland, United States -

Full Time

Start Date

Immediate

Expiry Date

22 Sep, 26

Salary

115000.0

Posted On

24 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Shell Bash, R, AWS, NetCDF, Docker, Git, PyTorch, TensorFlow, GIS Tools, Data Engineering, Statistical Analysis, Machine Learning, Climate Science, Spatiotemporal Modeling, Data Pipelines

Industry

Description

Overview/ Job Responsibilities Entarian is seeking a full-time Scientific Programmer to support the CPC International Desks in College Park, MD, with system upgrades, code migration, training, operational workflow support, and implementation of model and forecasting enhancements. The National Oceanic and Atmospheric Administration’s (NOAA) Climate Prediction Center (CPC) mission is to deliver real-time products and information that predict and describe climate variations on timescales from weeks to years, thereby promoting effective management of climate risk and a climate-resilient society. ERT provides scientific support services to CPC by operationally acquiring, processing, and disseminating climate data, information, and analyses, and by conducting research and development to improve prediction techniques and understanding of climate variability and extremes. Duties of the Scientific Programmer include, but are not limited to: CPCI v7.0 Python Upgrade / Code Migration Lead and/or support the migration of CPC International Desk workflows from legacy GEMPAK-based development to Python-based development (CPCI v7.0) Lead and/or support regionalized NCEP GFS and GEFS postprocessing and transitioning to operations in support of the WMO Severe Weather Forecast Project (SWFP) Refactor, validate, and document code to ensure operational readiness, maintainability, and reproducibility. Coordinate testing and delivery milestones supporting planned code delivery NMME Version 3 Upgrade Support Support implementation and transition activities for NMME v3 for the International Desk, including updates needed for ingest, post-processing, and product generation Assist with operational readiness activities Operational Workflow Support and Reliability Maintain and improve operational workflows supporting International Desk production, including job scheduling, monitoring, troubleshooting, and continuity support across platforms Provide hands-on support for operational cron jobs and related automation on the CPC compute farm and WCOSS platform Training and Knowledge Transfer Provide training support for International Desk visitors and staff on: International Desk website tools and publishing workflows Post-processing of model data and generation of operational products Practical operational procedures (cron jobs, platform usage, troubleshooting patterns) Develop and maintain training materials and quick-reference guides to support repeatable onboarding and knowledge transfer Data Support for Forecasting Studies Provide data handling and support for climate forecasting studies, including accessing, transforming, and organizing model and observational datasets used by the International Desk Support evaluation/verification workflows where needed to improve product utility and performance Contingent and Emerging Requirements Carry out other contingent tasks to support mission needs, operational continuity, and evolving CPC priorities This position supports work at NOAA's College Park, MD facility with a minimum of 2-3 days/week on site required. The salary range for this role is $85,000 - 115,000/year. Minimum Qualifications Master’s degree in Atmospheric Science, Meteorology, Hydrology/Hydroclimate, Computer Science, or a related discipline (or equivalent relevant experience). PhD preferred. Experience with cloud computing platforms such as Amazon Web Services (e.g., S3, EC2, Lambda) Strong programming skills in Shell (Bash) utilities, Python and/or R for data analysis and modeling Experience with data manipulation, statistical analysis, and machine learning Ability to work with large and complex datasets, including climate and weather observation data (e.g., NetCDF, raster data) Understanding of data engineering concepts (data pipelines, processes, APIs) Knowledge of containerization and reproducible workflows (e.g., Docker, Git) Experience with AI/deep learning (PyTorch, TensorFlow) Ability to develop, validate and deploy models for forecasting or risk analysis Understanding of climate science and impact-based forecasting Strong analytical thinking, problem-solving, and interdisciplinary collaboration skills Ability to translate complex analytical results into actionable insights for policy and decision-making Basic knowledge of GIS tools (e.g., QGIS, ArcGIS, GeoPandas, raster/terra) Familiarity with spatial and spatiotemporal modeling techniques Must be a US Citizen or Permanent Resident and able to pass a background investigation to obtain a security badge to access applicable government information and systems. About Us CompensationWe consider several factors when extending an offer of employment, including the location, scope, and associated responsibilities of the specific position, as well as a candidate’s work experience, education/training, and key skills. BenefitsAll full-time employees are eligible to participate in our flexible benefits package, which includes: Medical, Rx, Dental, and Vision Insurance 401(k) retirement plan with company-matching 11 Paid Federal Government Holidays Paid Time Off (PTO) Basic Life & Supplemental Life Health Savings Account, Flexible Spending and Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Employee assistance program (EAP) Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Professional Membership Reimbursement Employee Referral Program Competitive compensation plan Discretionary variable incentive bonuses based on factors such as individual performance, business unit performance, and/or the company’s performance Formed through the strategic union of Sev1Tech and ERT, Entarian is a premier provider of mission-critical engineering and technology solutions. Founded on a legacy of excellence dating back to 1993, Entarian is a product of an evolved and fully diversified engineering and federal technology leader. From deep space to defense and civilian missions, Entarian delivers secure, mission-aligned digital solutions that drive national resilience and operational effectiveness. We don't just support modernization; we define it. Join the Mission and Start your Career Journey: Apply Directly via our Careers Portal Connect, Referrals & Inquiries? Email the team: careers@entarian.com Entarian is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Responsibilities

Lead the migration of climate workflows from legacy GEMPAK to Python and support the implementation of model and forecasting enhancements. Maintain operational workflows, provide technical training to staff, and support data handling for climate forecasting studies.