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Vantor Services Inc.

ETL Engineer / Data Scientist (TS/SCI)

Herndon, VA, United States

The base pay for this position within the Washington, DC metropolitan area is: $116,000.00 - $154,000.00 - $169,400.00 annually.

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Job details

Pay: The base pay for this position within the Washington, DC metropolitan area is: $116,000.00 - $154,000.00 - $169,400.00 annually.
Posting language: English
Posted: Nov 3, 2026

Original 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.
Experience working in secure, disconnected, classified, or other restricted environments.
Experience in the Department of Defense or Intelligence Community.

#cjpost

Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role.

The base pay for this position within the Washington, DC metropolitan area is: $116,000.00 - $154,000.00 - $169,400.00 annually.

For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

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More about this job

Skills

Data engineering
Computer science
Python
Process data
Workflow
CI/CD
Kubernetes
Linux
System administration
Git
Team building
Troubleshooting
Analytical skills
Communication skills
Grafana
Prometheus
Jira
Ansible
Docker
Machine learning

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