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About This Role
Summary
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As an IT Specialist (AI Data Engineer) with the US Office of Personnel Management, Office of the Chief Information Officer, Products and Data Engineering Division, you will develop, test, maintain, and support automated data pipelines and AI\-assisted data engineering solutions that support OPM mission operations, stakeholder needs, and reliable data\-driven services.
Learn more about this agency
This job is open to
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### The public
U.S. Citizens, Nationals or those who owe allegiance to the U.S.
### Career transition (CTAP, ICTAP, RPL)
Federal employees whose job, agency or department was eliminated and are eligible for priority over other applicants.
Duties
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- Develop, maintain, test, and support automated data pipelines using Python, SQL, Spark, .NET, and related data processing tools.
- Apply cloud\-based continuous integration, deployment, and operations practices in Azure, Amazon Web Services, or Google Cloud environments.
- Use artificial intelligence tools to support coding, documentation, code review, log analysis, data quality checks, and anomaly detection.
- Implement data architecture patterns, including bronze, silver, and gold medallion architecture and big data platform solutions.
- Troubleshoot pipeline failures across infrastructure, data quality, and application layers, escalating issues as appropriate.
- Collaborate with business analysts, product owners, and stakeholders to clarify data requirements and explain technical constraints.
- Prepare technical documentation, data dictionaries, runbooks, status updates, and stakeholder communications.
Requirements
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### Conditions of employment
- Must be a U.S. Citizen or National
- Males born after 12\-31\-59 must be registered for Selective Service
- Suitable for Federal employment, determined by a background investigation
- May be required to successfully complete a probationary period
- Candidates will not be hired based on their race, sex, color, religion, or national origin
- Complete the initial online assessment and USAHire Assessment, if required
- You will be required to report to an OPM assigned office.
- This position is not eligible for inclusion in a bargaining unit
### Qualifications
Basic Requirement for the Information Technology Specialist, GS\-2210 occupation: You must have Information Technology (IT) related experience demonstrating each of the following competencies:1\)Attention to Detail \- Is thorough when performing work and conscientious about attending to detail;2\)Customer Service \- Works with clients and customers to assess their needs, provide information or assistance, resolve their problems, or satisfy their expectations; knows about available products and services; is committed to providing quality products and services;3\) Oral Communication \- Expresses information to individuals or groups effectively, taking into account the audience and nature of the information; makes clear and convincing oral presentations; listens to others, attends to nonverbal cues, and responds appropriately; and4\) Problem Solving \- Identifies problems; determines accuracy and relevance of information; uses sound judgment to generate and evaluate alternatives, and to make recommendations .Your resume must clearly describe your relevant experience.
Requirements for GS\-09 Grade Level:
Applicants must have one of the following:
- Master's or equivalent graduate degree or successfully completed two full years of progressively higher\-level graduate education leading to such a degree in a field related to this position.
- One year of specialized experience equivalent to at least the GS\-07 level in the Federal service, or equivalent, performing information technology work that includes all of the following:
+ Assisting with the development, maintenance, testing, or support of data pipelines using data processing languages or query tools;
+ Applying established procedures to support cloud\-based development, deployment, testing, or operations activities;
+ Using artificial intelligence, automation, or code review tools to support coding, documentation, testing, data quality checks, or troubleshooting; and
+ Gathering data requirements, preparing technical documentation, or providing status updates to technical staff, customers, or stakeholders.
- An equivalent combination of higher\-level education and specialized experience
Requirements for the GS\-11 level:
Applicants must have one of the following:
- A Ph.D. or equivalent doctoral degree or 3 full years of progressively higher\-level graduate education leading to such a degree from an accredited or pre\-accredited institution in a related to this position.
- One year of specialized experience equivalent to at least the GS\-09 level in the Federal service, or equivalent, performing data engineering or information technology work that includes all of the following:
+ Developing, maintaining, testing, or supporting automated data pipelines using data processing languages, frameworks, or query tools;
+ Applying cloud\-based continuous integration, deployment, testing, or operations practices to support data pipeline workflows;
+ Using artificial intelligence, automation, static analysis, log analysis, or data quality tools to support development, testing, documentation, troubleshooting, or anomaly detection;
+ Implementing assigned data architecture patterns, pipeline transformations, or data platform components based on established designs; and
+ Clarifying data requirements, documenting technical solutions, and communicating pipeline status or technical feasibility to customers, stakeholders, or technical teams.
Requirements for the GS\-12 level:
Applicants must have one of the following:
One year of specialized experience equivalent to at least the GS\-11 level in the Federal service, or equivalent, performing data engineering or information technology work that includes:
- Developing, maintaining, testing, or supporting automated data pipelines using data processing languages, frameworks, or query tools;
- Applying cloud\-based continuous integration, deployment, testing, or operations practices to support data pipeline workflows;
- Using artificial intelligence, automation, static analysis, log analysis, or data quality tools to improve development, testing, documentation, troubleshooting, or anomaly detection;
- Implementing data architecture patterns, pipeline transformations, or data platform components to meet stakeholder requirements; and
- Troubleshooting data pipeline failures, documenting technical solutions, and communicating requirements, risks, status, or technical options to customers, stakeholders, or technical team
You must meet all qualification and eligibility requirements by the closing date of this announcement.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
### Additional information
This announcement will be used to fill vacancies through OPM\-authorized Direct Hire Authority due to Critical Hiring Need/Severe Shortage of Candidates. Veteran preference and traditional rating/raking of applicants do not apply. For more information on OPM's authorization of Direct Hire Authority, please visit: https://www.opm.gov/policy\-data\-oversight/hiring\-information/direct\-hire\-authority/
Relocation expenses will not be paid.
This job opportunity announcement may be used to fill additional similar vacancies across OPM.
If you are unable to apply online and would like to request information about the Alternate Application process, please use the contact information at the bottom of this announcement.
Reasonable Accommodation Requests: If you believe you have a disability (i.e., physical or mental), covered by the Rehabilitation Act of 1973 as amended and Americans with Disabilities Act 1990 as amended, that would interfere with completing the USA Hire Competency Based Assessments, you will be granted the opportunity to request a reasonable accommodation in your online application. Requests for Reasonable Accommodations for the USA Hire Competency Based Assessments and appropriate supporting documentation for Reasonable Accommodation must be received prior to starting the USA Hire Competency Based Assessments. Decisions on requests for Reasonable Accommodations are made on a case\-by\-case basis. If you meet the minimum qualifications of the position, after notification of the adjudication of your request, you will receive an email invitation to complete the USA Hire Competency Based Assessments, based on your adjudication decision. You must complete all assessments within 48 hours of receiving the URL to access the USA Hire Competency Based Assessments, if you received the link after the close of the announcement. To determine if you need a Reasonable Accommodation, please review the Procedures for Requesting a Reasonable Accommodation for Online Assessments here: https://help.usastaffing.gov/Apply/index.php?title\=Reasonable\_Accommodations\_for\_USA\_Hire
As a condition of employment for accepting this position, you may be required to serve a 1\-year probationary period during which we will evaluate your fitness and whether your continued employment advances the public interest. In determining if your employment advances the public interest, we may consider:
- your performance and conduct;
- the needs and interests of the agency;
- whether your continued employment would advance organizational goals of the agency or the Government; and
- whether your continued employment would advance the efficiency of the Federal service.
Upon completion of your probationary period your employment will be terminated unless you receive certification, in writing, that your continued employment advances the public interest.
Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
========
A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Review our benefits
Eligibility for benefits depends on the type of position you hold and whether your position is full\-time, part\-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.
How you will be evaluated
-----------------------------
You will be evaluated for this job based on how well you meet the qualifications above.
You will be evaluated based on how well you meet the qualifications listed in this vacancy announcement. Your qualifications will be evaluated based on your application materials (e.g., resume, supporting documents), your responses on the application questionnaire, and your responses to all assessments required for this position. You will be assessed on the following competencies (knowledge, skills, abilities, and other characteristics):
- Accountability
- Attention to Detail
- Customer Service
- Decision Making
- Flexibility
- Influencing/Negotiating
- Integrity/Honesty
- Interpersonal Skills
- Learning
- Reading Comprehension
- Reasoning
- Self\-Management
- Stress Tolerance
- Teamwork
Overstating your qualifications and/or experience in your application materials or application questionnaire may result in your removal from consideration. Cheating on an assessment may also result in your removal from consideration.
Career Transition Assistance Programs: These programs apply to employees who have been involuntarily separated from a Federal service position within the competitive service or Federal service employees whose positions have been deemed surplus or no longer needed. To receive selection priority for this position, you must: 1\) meet CTAP or ICTAP eligibility criteria; 2\) be rated well\-qualified for the position (obtain a score of 85 or higher on the assessments); and 3\) submit the appropriate documentation to support your CTAP or ICTAP eligibility. For more information visit: http://www.opm.gov/rif/employee\_guides/career\_transition.asp.
Required Documents
----------------------
To apply for this position, you must provide a complete Application Package which includes:
- Your Resume showing the applicant's name, email address, work schedule, hours worked per week, dates of employment, and duties performed to include pay plan, series, and grade level for relevant federal experience. Your resume must show complete information for each job entry to support minimum qualifications. Only the first 2 pages of the resume/application will be used to verify minimum qualifications. Please be sure to include specific dates of employment and work schedule(s).
- Do not include the following types of information in your resume:
+ - Classified or government sensitive information
- Social Security Number (SSN)
- Photos of yourself
- Personal information, such as age, sex, religious affiliation, etc.
- Encrypted and digitally signed documents
- Other supporting documents:
+ Cover Letter, optional
+ College Transcript(s), if qualifying based on education
+ Career Transition Assistance Program (CTAP)/Interagency Career Transition Assistance Program (ICTAP)Documentation, if applicable (e.g., Certification of Expected Separation, Reduction\-In\-Force Separation Notice, or Notice of Proposed Removal; SF\-50 that documents the RIF separation action; and most recent performance appraisal.)
+ If you are requesting a reasonable accommodation to the USA Hire Competency Based Assessments, submit documentation to support your request, including the Reasonable Accommodation Request Form found here.
Failure to submit any of the above\-mentioned required documents may result in loss of consideration due to an incomplete application package. It is your responsibility to ensure all required documents have been submitted.?
### If you are relying on your education to meet qualification requirements:
Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.
Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.
How to Apply
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Please read the entire announcement and all the instructions before you begin an application. To apply and be considered for this position, you must complete all required questionnaires, assessments and submit all required documentation as specified in the How to Apply and Required Documents section. The complete application package must be submitted by 11:59 PM (ET) on the closing date of the announcement to receive consideration. The application process is as follows:
1\. Click the Apply Online button.
2\. Answer the questions presented in the application and attach all necessary supporting documentation.
3\. Click the Submit Application button prior to 11:59 PM (ET) on the announcement closing date.
4\. If you are required to complete any USA Hire Assessments, you will be notified after submitting your application. The notification will be provided in your application submission screen and via email. The notification will include your unique assessment access link to the USA Hire system and the completion deadline. Additionally, in USAJOBS you can click "Track this application" to return to your assessment completion notice.
5\. Access USA Hire using your unique assessment link. Access is granted through your USAJOBS login credentials.
6\. Review all instructions prior to beginning your assessments. You will have the opportunity to request a testing accommodation before beginning the assessments should you have a disability covered under the Rehabilitation Act of 1973 as amended.
7\. Set aside at least 3 hours to take the USA Hire Assessments; however, most applicants complete the assessments in less time. If you need to stop the assessments and continue later, you can re\-use your unique assessment link.
8\. Your responses to the USA Hire Assessments will be reused for one year (in most cases) from the date you complete an assessment. If future applications you submit require completion of the same assessments, your responses will be automatically reused.
For more general information, system requirements, reasonable accommodation information, and to request assistance regarding the USA Hire Assessments, review the following resources: https://help.usastaffing.gov/Apply/index.php?title\=USA\_Hire\_Assessments
To update your application, including supporting documentation: During the announcement open period, return to your USAJOBS account, find your application record, and click Edit my application. This option will no longer be available once the announcement has closed.
To view the announcement status or your application status: Click on this: https://www.usajobs.gov/Help/how\-to/application/status/. Your application status page is where you can view your application status, USA Hire assessment completion status, and review your notifications sent by the hiring agency regarding your application.
You may preview the assessment questionnaire by clicking here: https://apply.usastaffing.gov/ViewQuestionnaire/12985613
### Agency contact information
OPM Human Resources
Phone
202\-606\-9321
Address
*OPM Human Resources*
*1900 E St., NW*
*Washington, DC 20415*
*US*### Next steps
Once referred, you may be asked to complete a structured interview, written demonstration, and/or fit interview. Deliberate attempts to falsify information may be grounds for not selecting you or for dismissing you from the position/agency during the probationary period.
Once your online application is submitted you will receive a confirmation notification by email. Your application will be evaluated. You will receive another notification about the status of your application.
We expect to make a job offer within 40 days after the closing date of the announcement. After making a tentative job offer, we will conduct a suitability/security background investigation.
An agency may not request, orally, in writing, or electronically through the USA Jobs website or other electronic means, that an applicant for appointment for a position in the civil service disclose criminal history record information before the appointing agency extends a conditional offer of employment. If you believe you were asked about your criminal history improperly, contact the agency or visit https://www.opm.gov/about\-us/careers\-at\-opm/opportunities/
Overview
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Accepting applications
Posted yesterday · Apply by 06/19/26
Due by 11:59 p.m. ET on June 19, 2026
Location
many vacancies in the following locations:
District of Columbia, DC
Macon, GA
Kansas City, MO
No matching locations found.
Work site options
Telework eligible
Yes—as determined by the agency policy.
Remote job
No
Relocation expenses reimbursed
No
Salary
$61,722 \- $133,142 per year
Pay scale \& grade
GS 9 \- 12
Promotion potential
12
Learn more about pay scale and grade
Pay scale and grade determines the salary of the job.
Work schedule
Full\-time
Travel Required
Not required
Appointment type
Permanent
Occupations and job series
- 2210 Information Technology Management
Supervisory status
No
Federal service type
This job is in the Competitive Service
Represented by a union
No
Drug test
No
Security clearance
Not Required
Position sensitivity and risk
High Risk (HR)
Jobs require a background check and some require a security clearance. The type depends on the job.
Background check type
- Credentialing
- Suitability/Fitness
Financial disclosure required
No
Some jobs require financial disclosure to identify conflicts of interests.
Announcement number
26\-RGJ\-12985613\-DH
Control number
872842700
Salary Context
This $61K-$133K range is in the lower quartile for Data Engineer roles in our dataset (median: $160K across 37 roles with salary data).
Role Details
About This Role
Data Engineers build the pipelines that feed AI models. They design ETL workflows, manage data lakes, and ensure training and inference data is clean, timely, and accessible. Without good data engineering, AI projects fail. It's that simple.
The AI era has expanded the data engineer's scope far beyond batch ETL jobs. You're building real-time embedding pipelines for RAG systems, managing vector databases, ensuring training data quality at scale, and building the infrastructure that lets ML teams iterate on data as fast as they iterate on models. Data quality is the biggest predictor of model quality, and you're the person responsible for it.
Across the 3,823 AI roles we're tracking, Data Engineer positions make up 1% of the market. At U.S. Office of Personnel Management, this role fits into their broader AI and engineering organization.
Data Engineer demand in AI contexts is strong and growing. Every company building AI needs clean, reliable data pipelines. The shift toward real-time AI applications (chatbots, recommendation engines, agent systems) means data engineering is more critical than ever. Companies are willing to pay premium salaries for data engineers with AI/ML pipeline experience.
What the Work Looks Like
A typical week includes: debugging a data pipeline that's producing stale embeddings for the RAG system, optimizing a Spark job that processes training data, building a data quality monitoring dashboard, meeting with the ML team to understand their next data requirements, and writing dbt models that transform raw event data into ML-ready features. The work is deeply technical and high-impact.
Data Engineer demand in AI contexts is strong and growing. Every company building AI needs clean, reliable data pipelines. The shift toward real-time AI applications (chatbots, recommendation engines, agent systems) means data engineering is more critical than ever. Companies are willing to pay premium salaries for data engineers with AI/ML pipeline experience.
Skills Required
SQL, Python, and distributed systems (Spark, Airflow, dbt) are core. Cloud data platforms (Snowflake, BigQuery, Redshift) are increasingly standard. Many AI-focused roles also want familiarity with vector databases and embedding pipelines. Understanding data modeling, pipeline orchestration, and data quality frameworks covers the essentials.
AI-specific data engineering skills include: building feature stores, managing training data versioning, implementing data lineage tracking, and building real-time embedding pipelines. Experience with streaming systems (Kafka, Flink) is valuable for real-time AI applications. Understanding ML data requirements (balanced datasets, data augmentation, evaluation set construction) makes you much more effective working with ML teams.
Strong postings specify the data stack, mention ML pipeline work, and describe the scale of data you'll be working with. Look for companies that understand the connection between data quality and model quality. Avoid roles that conflate data engineering with data analysis.
Compensation Benchmarks
Data Engineer roles pay a median of $208,300 based on 266 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $165,000. This role's midpoint ($97K) sits 53% below the category median. Disclosed range: $61K to $133K.
Across all AI roles, the market median is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($275,000) and AI Safety ($274,200). By seniority level: Entry: $97,880; Mid: $165,000; Senior: $227,400; Director: $247,800; VP: $250,000.
U.S. Office of Personnel Management AI Hiring
U.S. Office of Personnel Management has 1 open AI role right now. They're hiring across Data Engineer. Based in Washington, DC, US. Compensation range: $133K - $133K.
Location Context
Across all AI roles, 15% (590 positions) offer remote work, while 3,217 require on-site attendance. Top AI hiring metros: New York (2,643 roles, $211,000 median); San Francisco (2,168 roles, $253,000 median); Los Angeles (1,792 roles, $191,580 median).
Career Path
Common paths into Data Engineer roles include Backend Engineer, Database Administrator, Analytics Engineer.
From here, career progression typically leads toward Senior Data Engineer, ML Engineer, Data Platform Lead.
Master SQL and Python first. Then learn a distributed processing framework (Spark or its modern alternatives) and a pipeline orchestrator (Airflow, Dagster, Prefect). Build a portfolio project that demonstrates end-to-end pipeline construction: ingest, transform, validate, serve. If you want to specialize in AI data engineering, add vector databases and embedding pipelines to your skill set.
What to Expect in Interviews
Expect SQL deep-dives (query optimization, partitioning strategies, data modeling), Python coding focused on data pipeline patterns, and system design questions about building scalable ETL workflows. Companies with ML teams will ask about feature stores, embedding pipelines, and training data management. Be ready to discuss data quality monitoring, pipeline orchestration, and how you'd handle schema evolution in a production data lake.
When evaluating opportunities: Strong postings specify the data stack, mention ML pipeline work, and describe the scale of data you'll be working with. Look for companies that understand the connection between data quality and model quality. Avoid roles that conflate data engineering with data analysis.
AI Hiring Overview
The AI job market has 3,823 open positions tracked in our dataset. By seniority: 112 entry-level, 1,798 mid-level, 1,516 senior, and 397 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (590 positions). The remaining 3,217 roles require on-site or hybrid attendance.
The market median for AI roles is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($275,000 median, 41 roles); AI Safety ($274,200 median, 55 roles); Research Engineer ($260,000 median, 434 roles).
Data Engineer demand in AI contexts is strong and growing. Every company building AI needs clean, reliable data pipelines. The shift toward real-time AI applications (chatbots, recommendation engines, agent systems) means data engineering is more critical than ever. Companies are willing to pay premium salaries for data engineers with AI/ML pipeline experience.
The AI Job Market Today
The AI job market spans 3,823 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,629), Data Scientist (322), AI Software Engineer (279). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (112) are outnumbered by mid-level (1,798) and senior (1,516) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 397 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (590 positions), with 3,217 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $200,100. Top-quartile roles start at $253,500, and the 90th percentile reaches $307,500. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $275,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,979 postings), Aws (1,190 postings), Azure (899 postings), Rag (839 postings), Gcp (726 postings), Pytorch (595 postings), Prompt Engineering (595 postings), Claude (540 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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