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ETL Engineer / Data Scientist (TS/SCI)

Pay
Multiple pay amounts — pay source
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.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Citizens onlyCurrent active TS/SCI security clearance and willingness and ability to obtain a CI polygraph

What you’ll work on

Full posting
  • Design, develop and maintain ETL workflows that ingest, transform, validate and deliver data

  • Build automated data pipelines using Python, Apache NiFi and shell scripts

  • Integrate systems through APIs and troubleshoot data exchanges

  • Monitor pipeline runs, investigate failures and resolve data quality issues

  • Apply data science techniques to explore, prepare and analyze data

From the employer’s posting
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.
Monitor pipeline execution, investigate failures, resolve data quality issues, and improve reliability and performance.
Apply data science techniques to explore, prepare, and analyze data in support of mission and customer needs.

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree in computer science, data science, engineering, information systems, or a related field, or equivalent professional experience.
  • 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.

Preferred experience

  • 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.
Qualification wording
Bachelor’s degree in computer science, data science, engineering, information systems, or a related field, or equivalent professional experience.
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 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.
Education & alternatives
- 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.

About Maxar

We build and operate the systems and data capabilities that help teams make trusted data available for analytics and operational use.

In the employer’s words · Read in context

Apply at Maxar

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 4, 2026today
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Maxar is hiring

24 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • Docker
  • Grafana
  • Kubernetes
  • S3
Where the posting names them
- 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.
- 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 Ansible for configuration management or automation. - Experience building or operating Docker containers. - Experience supporting data science, analytics, or machine-learning workflows.
Preferred Qualifications - Experience with OpenSearch, Grafana, or Prometheus for search, monitoring, logging, or observability. - Familiarity with Jira for agile planning and work tracking.
- 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.
- Familiarity with CI/CD pipelines and automated software delivery practices. - Experience working with Kubernetes or containerized workloads. - Working knowledge of Linux system administration.
- 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.

Your next step

Complete your application on maxar.wd1.myworkdayjobs.com. The employer’s form will show what is required.

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  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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.

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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.

Source details

View original posting ↗

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Pay
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.
Location & working pattern

Herndon, VA

Working pattern and location restrictions need checking in the full posting.

Work authorization
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.
More source context
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.

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