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IT Specialist (Enterprise Data Platform)

Judicial Branch - Washington, District of Columbia

Posted Jun 9, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
Not verified
Childcare support
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Learning budget
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Verification
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Salary
$102K-$192K From the posting source
401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

31% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Data From the posting source
Seniority
Mid From the posting source

Schedule

Shift type
Not verified
Weekend work
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Application

Cover letter
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Assessment
Not verified
Deadline
Not stated

Where they hire

Hires in: DC From the posting source

About this role

IT Specialist (Enterprise Data Platform) Washington, District of Columbia Summary The Lead Data Engineer - Enterprise Data Platform position is in the Office of the Deputy Director, Case Management Modernization (CMM) Program Office. The CMMO drives change management and adoption practices to achieve delivery of a modernized, efficient, and secure case management environment. This role leads teams, manages resources, and applies knowledge to deliver solutions that support the judiciary's mission and operational excellence. Duties The Lead Data Engineer - Enterprise Data Platform is embedded within data pods and is responsible for building and operating data pipelines, integrations, and platform services that power analytics, reporting, and data products across the Judiciary. Working under architectural direction, this role translates enterprise schemas, CDC patterns, and governance requirements into production-grade implementations in AWS. Key Responsibilities Designs and implements scalable ETL/ELT ingestion, transformation, and orchestration pipelines in AWS. Builds and enhances platform components across data lake, data warehouse, and consumption interfaces such as APIs and reporting layers. Translates architectural standards including schemas, CDC patterns, and MDM-related components into working implementations. Implements monitoring and reliability practices to support operational readiness, incident response, and continuous improvement. Embeds data quality, performance, and cost-efficiency considerations into pipeline design and ongoing operations. Partners with security and governance team to implement access controls, data protections, and auditability aligned with Judiciary requirements. Requirements CONDITIONS OF EMPLOYMENT All information is subject to verification. Applicants are advised that false answers or omissions of information on application materials or inability to meet the following conditions

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