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Entarian

Earth observation services for federal agencies

Senior Software Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • A bachelor's degree in Computer Science, Software Engineering, Data Engineering, Data Science, or a related field, plus at least 6 years of relevant experience.
  • An active Secret clearance and a CompTIA Security+ certification meeting IAT II requirements, or the ability to obtain the certification within the onboarding window.
  • Strong Python experience and familiarity with Polars, Pandas, Pydantic, JSON, XML, and supporting libraries.
  • Experience designing and maintaining ETL/ELT pipelines for structured and unstructured datasets in operational environments, and strong knowledge of data engineering concepts including velocity, volume, variety, and veracity.
  • Structured programming experience with Git or Subversion; test-driven development; and Agile lifecycle tools including Jira, Jenkins, JUnit, and GitLab.
  • Strong knowledge of data modeling, data integration, and database design, with hands-on experience in PostgreSQL/PostGIS, SQL Server, or Oracle.
  • Practical experience with AWS and container technologies, and familiarity with DevSecOps frameworks.
  • Experience integrating geospatial systems and enterprise data platforms or APIs, such as the ESRI stack or ERDDAP.
  • Excellent written and verbal communication skills, ability to work independently, and ability to self-start with minimal supervision.

Responsibilities

  • Participate in all aspects of the software development lifecycle for a mission-critical product, including scope and work estimation, architecture and design, coding, and unit testing.
  • Design, code, test, debug, and maintain software products.
  • Translate customer needs into user stories and deliver working capabilities at the conclusion of each sprint.
  • Mentor other software developers on the product team to enhance their skills.
  • Participate in or lead sprint demonstrations and facilitate implementation of ideas agreed upon during retrospectives.
  • Work with product team members to develop solutions to problems impeding progress.
  • Communicate technical challenges, considered options, and recommended solutions to team leads.

Desired Qualifications

  • Experience designing, developing, and maintaining large-scale ingestion, transformation, and analytics workflows, with a strong background in data orchestration and automation tools.
  • Applied knowledge of data governance policies, metadata and lineage, cataloging tools such as DataHub or Amundsen, and compliance reporting.
  • Experience with streaming platforms such as Kafka or Kinesis and time-series data stores; ability to optimize multi-parameter time-based series, preferably in meteorology or oceanography.
  • Experience applying AI to accelerate data processing and analytics workflows.
  • Proficiency with ESRI tools and the broader ESRI ecosystem.
  • Hands-on experience with cybersecurity best practices and DISA STIG checklists, and familiarity with DevSecOps pipelines.
  • Experience with container runtimes such as OpenShift, Kubernetes, or Podman; infrastructure-as-code tools such as Terraform or CloudFormation; and AWS cost and performance optimization.
  • Experience with iRODS; exposure to Spring MVC, Java, Java Servlet, C++, JavaScript, HTML, CSS, or TypeScript for end-to-end data application integration.
  • Familiarity with Selenium or Citrus for automated validation in data-adjacent services.
  • Demonstrated history of direct customer support and structured escalation.

About the Company

Entarian

Earth observation services for federal agencies

Entarian provides scientific, engineering, environmental, and IT services to U.S. federal agencies, focusing on satellite mission operations, Earth observation data processing, cloud migrations, and cybersecurity. It maintains satellite ground systems and processes environmental data for clients like NOAA, NASA, and the U.S. Space Force under long-term contracts, using data analytics, AI/ML, and cloud computing. A notable project is migrating NOAA’s CLASS to AWS to reduce costs and improve data resilience, among other climate and environmental analytics work. Its strength comes from deep domain expertise in satellite ground systems and large, multi-year contracts, with Macquarie Capital backing to help expand into new markets and civilian opportunities.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Greenbelt, MD
Founded
1993

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