2 years ago
USA (city not specified)Senior
Responsibilities
- Participate in the full software development lifecycle, including estimation, architecture, design, coding, unit testing, debugging, and maintenance.
- Design, develop, and maintain ETL/ELT pipelines for structured and unstructured datasets in operational environments.
- Translate customer needs into user stories and deliver working capabilities at the end of each sprint.
- Integrate databases, geospatial systems, enterprise data platforms, and APIs.
- Mentor software developers and participate in or lead sprint demonstrations and retrospectives.
- Communicate technical challenges, considered options, and recommended solutions to team leads.
- Develop large-scale ingestion, transformation, analytics, orchestration, and automation workflows.
- Support data governance, metadata and lineage practices, cataloging, compliance reporting, streaming data, and time-series analytics.
- Apply security and compliance practices, including DISA STIG checklist processes and DevSecOps pipelines.
- Provide direct customer support and structured escalation.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Data Science, or a related field.
- 6+ years of relevant experience.
- Active Secret clearance.
- CompTIA Security+ certification under Directive 8570.1/8140 at the IAT II level, or ability to obtain it within the onboarding window.
- Strong Python experience with Polars, Pandas, and Pydantic, plus JSON/XML formats and supporting libraries.
- Experience designing and maintaining ETL/ELT pipelines and applying data engineering concepts.
- Experience with Git or Subversion and Agile lifecycle tools including Jira, Jenkins, JUnit, and GitLab.
- Hands-on experience with PostgreSQL/PostGIS, SQL Server, or Oracle, plus data modeling, data integration, and database design.
- Practical AWS and container technology experience, with familiarity with DevSecOps frameworks.
- Experience integrating geospatial systems and enterprise data platforms or APIs, such as the ESRI stack and ERDDAP.
- Preferred experience with data orchestration, governance, metadata and lineage, DataHub or Amundsen, Kafka or Kinesis, time-series data stores, and AI/ML-enabled analytics.
- Preferred experience with OpenShift, Kubernetes, Podman, Terraform, CloudFormation, IRODS, Spring MVC, Java, Java Servlet, C++, JavaScript, HTML, CSS, TypeScript, Selenium, or Citrus.
- Strong written and verbal communication skills and the ability to work independently with minimal supervision.
Tech Stack
Apache KafkaAWSC++CSSGitHTMLJavaJavaScriptJenkinsJUnitKubernetesMicrosoft SQL ServerOpenShiftPandasPostgreSQLPythonSeleniumSubversionTerraformTypeScript
Categories
BackendData Engineering
About Entarian
Entarian provides engineering, IT, and software services for U.S. defense and federal civilian agencies, spanning space systems integration, data analysis, and secure enterprise operations. The company was formed through the union of Sev1Tech and ERT, with a legacy dating to 1993, and is headquartered in Greenbelt, Maryland. Its work includes consulting, systems engineering, and managed services across satellite ground systems, cloud/DevOps, and IT infrastructure.