
Senior Data Engineer (Clearance Required) - Remote US
Remote · USFull-time$99–168K/yrSeen todaySeen in employer's feed today
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
ICF seeks a Senior Data Engineer to support federal government programs by designing, building, and maintaining scalable, secure, and compliant data solutions. The role partners with data scientists, analysts, developers, and government stakeholders to enable data-driven decisions across mission-critical systems. It is fully remote, with occasional travel to the DC Metro area for onsite client meetings as needed.
Skills & qualifications
Skills
Qualifications
Full job description
Description
The Work: We are seeking a Senior Data Engineer to support federal government programs by designing, building, and maintaining scalable, secure, and compliant data solutions. This role partners closely with data scientists, analysts, developers, and government stakeholders to enable data-driven decision-making across mission‑critical systems.
Job Location: This is a fully remote role which may require occasional travel to the DC Metro area as needed for onsite client meetings. Preference to candidates located within the Washington, DC Metro area.
If you accept this position, you should note that ICF does monitor employee work locations and blocks access from foreign locations/foreign IP addresses, and also prohibits personal VPN connections.
Our core work hours are 8am - 5pm Eastern Time with the option to start earlier or work later depending on your time zone.
What You Will Do:
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Design, build, and maintain data pipelines and ETL/ELT processes supporting large-scale federal data systems
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Develop and optimize cloud-based data architectures in AWS or Azure environments (e.g., S3, Redshift, RDS, Databricks, Synapse)
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Integrate structured and unstructured data from multiple government and third‑party sources
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Ensure data quality, integrity, availability, and performance across systems
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Support ATO, RMF, and federal security requirements, including documentation and audit support
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Collaborate with DevOps teams on CI/CD, infrastructure as code (IaC), and deployment automation
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Translate business and mission requirements into scalable technical solutions
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Produce and maintain technical documentation for data flows, pipelines, and architectures
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Participate in Agile ceremonies and work closely with cross‑functional teams
What You Will Bring With You:
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Active Top Secret clearance (Interim ok)
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5+ years of experience designing and supporting enterprise data solutions in federal or regulated environments
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Must be a US Citizen due to federal contract requirements.
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Candidate must reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S.
What We Would Like You To Bring With You:
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Bachelor's Degree in related field
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Prior experience supporting federal or DoD programs, preferably DCSA
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Strong experience with relational databases (e.g., Oracle, PostgreSQL, SQL Server, Azure SQL, or similar)
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Knowledge of data modeling techniques, ETL/ELT processes, and data integration patterns
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Familiarity with cloud platforms (Azure, AWS, or GCP) and modern data services
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Experience supporting security, governance, and compliance requirements
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Experience with data warehousing, reporting, and analytics platforms
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Familiarity with DevSecOps, CI/CD pipelines, and infrastructure‑as‑code
#icfcleared
#dcsa2026
#indeed
#LI-CC1
Working at ICF
ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.
We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO (https://www.icf.com/legal/equal-employment-opportunity) policy.
We will consider for employment qualified applicants with arrest and conviction records.
Work Authorization and Sponsorship
All candidates must be authorized to work in the United States. This position is not eligible for new H-1B visa sponsorship by ICF. Candidates who currently hold valid work authorization may be considered for a change of employer petition, subject to company policy and applicable immigration requirements.
Reasonable Accommodations
Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email [email protected] and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Read more about workplace discrimination rights (https://www.eeoc.gov/sites/default/files/2022-10/EEOC\_KnowYourRights\_screen\_reader\_10\_20.pdf) or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. (https://www.icf.com/legal/equal-employment-opportunity)
Bot and Third-Party Applications
Please note that this application must be submitted directly by the applicant for consideration. Failure to do so may result in the application being excluded for consideration. Applicants needing an accommodation for disability or religious purposes in connection with the application process should contact [email protected] for assistance.
Candidate AI Usage Policy
At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.
However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at [email protected] . We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.
Pay Range
There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full-time employment is:
$98,614.00 - $167,644.00
Nationwide Remote Office (US99)
How this job compares
Set against the 6,272 open Data Engineer jobs on Olive Jobs, counted November 5, 2026.
- Pay
- This posting$99–168K/yr
- Virginia median$120–196K/yr360 salary ranges
- US median$122–208K/yr4,899 salary ranges
This range's midpoint, $133K, is 15% below the Virginia median midpoint ($156K) — in the lowest quarter of Data Engineer salary ranges in Virginia.
- Openings
- Olive Jobs lists 460 open Data Engineer jobs in Virginia and 6,272 across the US. 8% of them nationwide are listed as remote or flexible.
- Hiring the most in Virginia
- Deloitte103 open
- Capital One40 open
- Accenture26 open
- Experience
- This posting asks for at least 5 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,489 postings).
- Education
- 2,402 of the 6,272 open Data Engineer jobs (38%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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