Data Engineer
at Dataroles
Fort Knox, KY, mid, full time, USD 61,900–1,41,000 / year, 2+ years
posted 02 Nov 2026
- Pipeline Builder
- Unix
- Java
- C++
- Code Repositories
- Foundry
- ELT
- Vantage
- Machinery
- Linux
- Shell scripting
- Agile
- Workshop
- ETL
- Slate
- Python
About the role
SeniorityMid-level
LocationFort Knox
EmploymentFull-time
Base pay$61,900–$141,000
PostedNov 2, 2026
Role brief
dataroles summary, based on the employer's posting.
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
* Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. * Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role. * Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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Each morning you get everything that fits, strongest first.
✓Data Engineering✓$60k+
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Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Find me work
By the team behind dataroles.
What you would do
* Build and run pipelines that ingest structured, semi-structured and unstructured data for analytics and reporting * Clean raw inputs, then apply joins, normalization and incremental loading to prepare dependable datasets * Add quality checks, lineage capture and monitoring, and investigate failures to find their root causes * Write incident runbooks and improve routine operations while following data permissions, encryption and audit controls * Turn mission needs into technical designs and documentation, working with stakeholders on platform adoption and data standards
Read from dataroles.co, last seen 3d ago.