Data Engineer
Fort Belvoir, VA
- Pay
USD 134,100–180,100/yearAnnual period assumed — pay source
The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is: $134,100—$180,100 USD What We Believe
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Read the full posting
What you’ll bring
All qualificationsCore experience
- 5 years of experience as a data engineer with a Master's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM) OR 7 years of experience as a data engineer with a bachelor's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM)
- 5 years of experience with distributed parallel streaming and batch data processing pipelines
- 5 years of experience with Python, Java, or other programming languages
- 3 years of experience applying agile methodologies to the data engineering part of a system development life cycle (SDLC)
- 3 years of experience with developing, operating, and maintaining data processing pipelines in a classified environment
- 3 years of experience integrating with data SDKS / APIs and data analytics SDKS / APIs
Qualification wording
5 years of experience as a data engineer with a Master's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM) OR 7 years of experience as a data engineer with a bachelor's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM)
5 years of experience with distributed parallel streaming and batch data processing pipelines
5 years of experience with Python, Java, or other programming languages
3 years of experience applying agile methodologies to the data engineering part of a system development life cycle (SDLC)
3 years of experience with developing, operating, and maintaining data processing pipelines in a classified environment
3 years of experience integrating with data SDKS / APIs and data analytics SDKS / APIs
Tools in this posting
- Java
- Python
- PySpark
Source — Tool mentions in context
- 5 years of experience with distributed parallel streaming and batch data processing pipelines - 5 years of experience with Python, Java, or other programming languages - 3 years of experience applying agile methodologies to the data engineering part of a system development life cycle (SDLC)
- 1 year of experience with Python/PySpark - 1 year of experience with Java/Java interface to Spark CLEARANCE:
- 3 years of experience with Git repositories and CI/CD pipelines. Examples include but are not limited to GitHub and GitLab. - 1 year of experience with Python/PySpark - 1 year of experience with Java/Java interface to Spark
Job description
AFS is in search of a Data Engineer to develop stages of distributed parallel data processing pipelines, which includes but is not limited to:
- configuring data connections, data parsing, data normalization, data mapping and modeling, data enrichment, and integration with data analytics
Responsibilities:
- Operate and maintain the data processing pipelines in accordance with the availability requirements of the platform Follow agile methodologies when applied to the data engineering part of the system development life cycle (SDLC)
- Update technical documentation such as system design documentation (SDD); standard operating procedures (SOPs); and tactics, techniques, and procedures (TTPs); and training material
Required Qualifications:
- 5 years of experience as a data engineer with a Master's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM) OR 7 years of experience as a data engineer with a bachelor's degree in a discipline covered under Science, Technology, Engineering or Mathematics (STEM)
- 5 years of experience with distributed parallel streaming and batch data processing pipelines
- 5 years of experience with Python, Java, or other programming languages
- 3 years of experience applying agile methodologies to the data engineering part of a system development life cycle (SDLC)
- 3 years of experience with developing, operating, and maintaining data processing pipelines in a classified environment
- 3 years of experience integrating with data SDKS / APIs and data analytics SDKS / APIs
- 3 years of experience with data mapping, modeling, enriching, and correlating classified data
- 3 years of experience with the identification and deduplication of data sources and record types to meet military requirements
- 3 years of experience with Git repositories and CI/CD pipelines. Examples include but are not limited to GitHub and GitLab.
- 1 year of experience with Python/PySpark
- 1 year of experience with Java/Java interface to Spark
CLEARANCE:
- Active TS/SCI is required
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is: $134,100—$180,100 USD What We Believe
- Location & working pattern
Fort Belvoir, VA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.
More source context
Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.
- Status in our records
- Active
- First seen by us
- Oct 7, 2026
- Recorded sightings
- 5
- Employer says posted
- Oct 1, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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