Role Overview
Accenturefederalservices is hiring a entry-level Enterprise Data Engineer. This is a full-time role in Herndon. Part of Accenturefederalservices's Security hiring, posted 2 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
Salary is not disclosed in this posting. Market median for Junior-level Security roles is $70k-$100k (based on 28 comparable listings). Many employers share specifics during the interview process or after an initial screen.
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Job description
Job Description:
We are seeking skilled and detail-oriented Data Engineers with expertise in utilizing Python, SQL, and Palantir (or other ETL platforms) to extract, transform, and load structured and unstructured data from various sources. The ideal candidate will have a strong background in data engineering and a deep understanding of ETL processes.
The work you'll do:
- Write robust and efficient Python and SQL scripts to automate data processing tasks.
- Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems.
- Implement data transformations, enrichment, and modeling workflows to ensure data quality and usability.
- Ensure data structures are optimized for performance and scalability.
- Provide technical guidance and support to ensure effective use of Palantir tools across teams.
- Implement data quality checks, validation, and monitoring mechanisms to ensure the accuracy and reliability of datasets.
- Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems.
- Ensure proper data transformation and curation to meet business and analytics requirements.
- Maintain and improve data quality, consistency, and accuracy through validation and cleansing processes.
Here's what you'll need:
- 3+ years of experience in data engineering.
- Strong proficiency in scripting and programming with Python.
- Expertise in working with SQL for data querying, transformation, and optimization.
- Experience with data integration from diverse sources such as APIs, relational databases, and file systems.
Bonus points if you have:
- Bachelor’s degree in Computer Science, Data Engineering, or a related field.
- Hands-on experience with Palantir.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache Spark, Hadoop).
- Familiarity with data orchestration tools such as Apache Airflow, Prefect, or similar.
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication and teamwork skills to collaborate with technical and business teams.
Security clearance:
- Active TS/SCI with Poly clearance 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, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. 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.
About Accenturefederalservices
Accenturefederalservices
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Frequently Asked Questions
How do I apply for the Enterprise Data Engineer position at Accenturefederalservices?
Use the Apply button above to submit your application directly to Accenturefederalservices. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Enterprise Data Engineer position at Accenturefederalservices located?
This position is based in Herndon. Accenturefederalservices has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Enterprise Data Engineer at Accenturefederalservices earn?
Accenturefederalservices has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Enterprise Data Engineer role at Accenturefederalservices posted?
This role was posted on June 25, 2026 (14 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
Is the Enterprise Data Engineer role at Accenturefederalservices entry-level?
Yes. This is an entry-level position. Strong candidates typically have 0-2 years of relevant work experience, internships, or significant project work. Read the full description for any specific qualification requirements Accenturefederalservices has listed.
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