ETL Engineer / Data Scientist (TS/SCI)

Vantor Services; Herndon (VA); On-site; USD 110,000 - 160,000; Full time

Job summary

Vantor is seeking an ETL Engineer / Data Scientist in Herndon, VA to develop and maintain data pipelines that support mission applications, analytics, and data science workflows. The role blends hands-on data engineering with practical data science skills and requires a TS/SCI-clearance with CI polygraph eligibility.

You will collaborate across software, platform, and mission teams to connect systems via APIs, automate batch processing, and deploy data workloads in secure, scalable environments.

Qualifications

• Bachelor's degree in computer science, data science, engineering, information systems, or related field, or equivalent professional experience.
• Strong working knowledge of Python for data processing, automation, or application development.
• Experience building or supporting ETL workflows and data pipelines.
• Experience with Apache NiFi or comparable workflow orchestration tool.
• Experience writing shell scripts for batch processing or system automation.
• Experience integrating systems through APIs and handling data exchanges.
• Familiarity with CI/CD pipelines and automated software delivery practices.
• Experience working with Kubernetes or containerized workloads.
• Working knowledge of Linux system administration.
• Experience using Git for version control and team development.
• Strong troubleshooting and analytical skills, including investigating pipeline failures and data quality issues.
• Strong written and verbal communication skills and the ability to work effectively on a multidisciplinary team.

Responsibilities

• Design, develop, and maintain ETL workflows to ingest, transform, validate, and deliver data from multiple sources.
• Build and support automated data pipelines using Python, Apache NiFi, shell scripts, and related tools.
• Integrate systems and services using APIs, including developing and troubleshooting API calls and data exchanges.
• Develop batch processing scripts and workflows to support scheduled data movement and transformation.
• Apply data science techniques to explore, prepare, and analyze data in support of mission and customer needs.
• Collaborate with data scientists, software developers, platform engineers, and stakeholders to define data requirements and deliver usable data products.
• Deploy and support data services and workloads in Kubernetes-based environments.
• Support CI/CD pipelines and automated testing for data workflows and related software.
• Use Git and Bitbucket for source control, code review, and team collaboration.
• Perform Linux system administration tasks related to data processing, pipeline operations, and application support.
• Monitor pipeline execution, investigate failures, resolve data quality issues, and improve reliability and performance.
• Create and maintain technical documentation, workflow definitions, operational procedures, and troubleshooting guidance.
• Participate in agile ceremonies, backlog refinement, sprint planning, and technical reviews.
• Follow security and data-handling requirements for secure mission environments.

Skills

Python

ETL workflows

APIs / data exchanges

Shell scripting

CI/CD

Kubernetes

Linux

Git

Education

Bachelor's degree in CS / data science / engineering or related field

Tools

Docker

Apache NiFi

Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

Vantor is seeking an ETL Engineer / Data Scientist to develop and maintain data pipelines that support mission applications, analytics, and data science workflows. The successful candidate will build reliable processes for ingesting, transforming, validating, and delivering data from multiple sources. This role combines hands‑on data engineering with practical data science skills. The engineer will work with software, platform, and mission teams to connect systems through APIs, automate batch processing, and deliver data in secure, scalable environments.

About Our Team

We are a multidisciplinary software development, platform engineering, data engineering, and systems administration team supporting mission‑focused applications. We build and operate the systems and data capabilities that help teams make trusted data available for analytics and operational use. We work in agile, cross‑functional teams and value automation, experimentation, and iterative delivery. Team members contribute across the development lifecycle, from data integration and pipeline development through deployment and sustainment.

Key Responsibilities

• Design, develop, and maintain ETL workflows to ingest, transform, validate, and deliver data from multiple sources.
• Build and support automated data pipelines using Python, Apache Nifi, shell scripts, and related tools.
• Integrate systems and services using APIs, including developing and troubleshooting API calls and data exchanges.
• Develop batch processing scripts and workflows to support scheduled data movement and transformation.
• Apply data science techniques to explore, prepare, and analyze data in support of mission and customer needs.
• Collaborate with data scientists, software developers, platform engineers, and stakeholders to define data requirements and deliver usable data products.
• Deploy and support data services and workloads in Kubernetes‑based environments.
• Support CI/CD pipelines and automated testing for data workflows and related software.
• Use Git and Bitbucket for source control, code review, and team collaboration.
• Perform Linux system administration tasks related to data processing, pipeline operations, and application support.
• Monitor pipeline execution, investigate failures, resolve data quality issues, and improve reliability and performance.
• Create and maintain technical documentation, workflow definitions, operational procedures, and troubleshooting guidance.
• Participate in agile ceremonies, backlog refinement, sprint planning, and technical reviews.
• Follow security and data‑handling requirements for secure mission environments.

Minimum Requirements

• Current active TS/SCI security clearance and willingness and ability to obtain a CI polygraph.
• Bachelor's degree in computer science, data science, engineering, information systems, or a related field, or equivalent professional experience.
• Strong working knowledge of Python for data processing, automation, or application development.
• Experience building or supporting ETL workflows and data pipelines.
• Experience with Apache Nifi or a comparable workflow orchestration tool.
• Experience writing shell scripts for batch processing or system automation.
• Experience integrating systems through APIs and handling data exchanges.
• Familiarity with CI/CD pipelines and automated software delivery practices.
• Experience working with Kubernetes or containerized workloads.
• Working knowledge of Linux system administration.
• Experience using Git for version control and team development.
• Strong troubleshooting and analytical skills, including the ability to investigate pipeline failures and data quality issues.
• Strong written and verbal communication skills and the ability to work effectively on a multidisciplinary team.

Preferred Qualifications

• Experience with OpenSearch, Grafana, or Prometheus for search, monitoring, logging, or observability.
• Familiarity with Jira for agile planning and work tracking.
• Experience working with S3 or S3‑compatible object storage.
• Experience with Ansible for configuration management or automation.
• Experience building or operating Docker containers.
• Experience supporting data science, analytics, or machine‑learning workflows.
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