Clarification from the agency

This announcement is open to the public.

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

1. Designs and implements scalable ETL/ELT ingestion, transformation, and orchestration pipelines in AWS.
2. Builds and enhances platform components across data lake, data warehouse, and consumption interfaces such as APIs and reporting layers.
3. Translates architectural standards including schemas, CDC patterns, and MDM-related components into working implementations.
4. Implements monitoring and reliability practices to support operational readiness, incident response, and continuous improvement.
5. Embeds data quality, performance, and cost-efficiency considerations into pipeline design and ongoing operations.
6. Partners with security and governance team to implement access controls, data protections, and auditability aligned with Judiciary requirements.

Conditions of employment

CONDITIONS OF EMPLOYMENT

1. 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 may be grounds for non-selection, withdrawal of an offer of employment, or dismissal after being employed.
2. Selection for this position is contingent upon completion of OF-306, Declaration of Federal Employment during the pre-employment process and proof of U.S. citizenship for competitive status positions or conversion to a competitive status position with the AO. If non-citizens are considered for hire into a temporary or any other position with non-competitive status or when it is confirmed by the AO Human Resources Office there are no qualified U.S. citizens for a competitive status position (unless prohibited by a law or statue), non-citizens must provide proof of authorization to work in the U.S. and proof of entitlement to receive compensation. Additional information on the employment of non-citizens can be found at USAJOBS Help Center | Employment of non-citizens/. For a list of documents that may be used to provide proof of citizenship or authorization to work in the United States, please refer to Form I-9, Employment Eligibility Verification.
3. All new AO employees will be required to complete an FBI fingerprint-based national criminal database and records check and pass a public trust suitability check.
4. New employees to the AO will be required to successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights/responsibilities, visit https://www.e-verify.gov/.
5. All new AO employees are required to identify a financial institution for direct deposit of pay before appointment.
6. You will be required to serve a trial period if selected for a first-time appointment to the Federal government, transferring from another Federal agency, or serving as a first-time supervisor. Failure to successfully complete the trial period may result in termination of employment.
7. If appointed to a temporary position, management may have the discretion of converting the position to permanent depending upon funding and staffing allocation.

Qualifications

Applicants must have demonstrated experience as listed below. This requirement is according to the AO Classification, Compensation, and Recruitment Systems which include interpretive guidance and reference to the OPM Operating Manual for Qualification Standards for General Schedule Positions.

Applicants must have at least one full year (52 weeks) of specialized experience which is in or directly related to the line of work of this position. Specialized experience is demonstrated experience in ALL of the following:

1. Developing repeatable playbooks and operating models that allow for the simultaneous management of multiple cohorts or waves.
2. Defining and enforcing readiness metrics to ensure all technical and data prerequisites are met before moving to execution phases.
3. Directing cross-functional teams to align delivery timelines with program roadmap.

Preferred Qualification
Extensive expertise in Python, SQL, and scalable data transformation frameworks for analytical data platforms.

How you will be evaluated

You will be evaluated for this job based on how well you meet the qualifications above.

We will review your resume and supporting documentation and compare this information to your responses on the occupational questionnaire to determine if you meet the minimum qualifications for this job. If you meet the minimum qualifications for this job, we will evaluate your application package, to assess the quality, depth, and complexity of your accomplishments, experience, and education as they relate to the requirements listed in this vacancy announcement.

You should be aware that your ratings are subject to evaluation and verification. If a determination is made that you have rated yourself higher than is supported by your resume and/or narrative responses, you will be assigned a rating commensurate to your described experience. Failure to submit the mandatory narrative responses will result in not receiving full consideration and/or rating credit. Deliberate attempts to falsify information may be grounds for not selecting you, withdrawing an offer of employment, or dismissal after being employed.