Pay
In line with similar jobs
$119K–$162K against $127K–$190K, the middle half of what similar US postings state.
From 2,226 postings in the last year. Stated ranges, not salaries paid.
Data Engineer
Tampa, FL
Live, first seen by us 83 days ago- Pay
USD 118,900–162,300/yearAnnual period assumed — pay source
The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is: $118,900—$162,300 USD What We Believe
Read the full posting- Work setting
On-site — work setting source
Work setup in the employer’s posting: Onsite
From the employer’s posting- Employment
- Not stated
Before you apply
- Work authorization
- Citizens only
An active TS/SCI federal security clearance is required
What you’ll work on
Full postingDesign and maintain RAG pipelines for document ingestion, indexing and embeddings
Build and optimize ETL/ELT pipelines in AWS using S3, Lambda, Glue, EMR and similar services
Run NiFi flows for high-throughput, low-latency data ingestion and transformation
Orchestrate and schedule workflows in Prefect with error handling and observability
Manage ElasticSearch schemas, clusters and query optimization
From the employer’s posting
Design, build, and maintain RAG pipelines, including document ingestion, indexing, embedding workflows, and model retrieval flows.
Build and optimize ETL/ELT pipelines in AWS using services such as S3, Lambda, Step Functions, EMR, Glue, ECS/EKS, and IAM best practices.
Implement and operate NiFi flows for high‑throughput, low‑latency data ingestion and transformation.
Develop, orchestrate, and schedule workflows using Prefect, ensuring reliability, observability, and proper error handling.
Implement indexing, search, and retrieval patterns using ElasticSearch, including schema design, cluster management, and query optimization.
What you’ll bring
All qualificationsCore experience
- Solid understanding of ETL/ELT processes and data modeling best practices.
- Proficiency in Python and familiarity with common data libraries (Pandas, PySpark, requests, etc.).
Preferred experience
- Strong experience with Apache NiFi for data flow management and real‑time ingestion.
- Experience building or maintaining RAG pipelines (e.g., vector databases, embeddings, document chunking strategies, retrieval optimization).
- Proven ability to manage structured and unstructured data pipelines at scale.
- Experience with AWS cloud services for data engineering.
Qualification wording
Solid understanding of ETL/ELT processes and data modeling best practices.
Proficiency in Python and familiarity with common data libraries (Pandas, PySpark, requests, etc.).
Strong experience with Apache NiFi for data flow management and real‑time ingestion.
Experience building or maintaining RAG pipelines (e.g., vector databases, embeddings, document chunking strategies, retrieval optimization).
Proven ability to manage structured and unstructured data pipelines at scale.
Experience with AWS cloud services for data engineering.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 19, 202683 days ago
- Recorded sightings
- 270
- Last seen by us
- Nov 6, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 83
Up longer than most. Similar jobs usually come down between day 5 and day 54.
At Accenture Federal Services, jobs usually come down by about day 61.
From 12,292 similar postings that came down, and 82 of Accenture Federal Services’s. Coming down is not always a hire.
Accenture Federal Services is hiring
88 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring has slowed
- Its jobs tend to stay up a long time
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- AWS
- Docker
- Elasticsearch
- Kubernetes
- Prefect
- S3
- pandas
- PySpark
Where the posting names them
- Hands‑on experience implementing workflows in Prefect (Prefect 2.0 preferred). In‑depth knowledge of ElasticSearch indexing, cluster management, and search optimization. - Proficiency in Python and familiarity with common data libraries (Pandas, PySpark, requests, etc.). Preferred Qualifications
Join us to drive positive, lasting change that moves missions and the government forward! We are looking for a Data Engineer with strong hands‑on experience designing, developing, and managing large‑scale data workflows across structured and unstructured datasets. This role focuses heavily on building reliable RAG (Retrieval-Augmented Generation) pipelines, orchestrating ETL/ELT processes, and deploying scalable data systems in AWS. Responsibilities
- Design, build, and maintain RAG pipelines, including document ingestion, indexing, embedding workflows, and model retrieval flows. - Develop and manage structured and unstructured data pipelines supporting analytics, ML, and application workloads. Build and optimize ETL/ELT pipelines in AWS using services such as S3, Lambda, Step Functions, EMR, Glue, ECS/EKS, and IAM best practices. Implement and operate NiFi flows for high‑throughput, low‑latency data ingestion and transformation. - Develop, orchestrate, and schedule workflows using Prefect, ensuring reliability, observability, and proper error handling. Implement indexing, search, and retrieval patterns using ElasticSearch, including schema design, cluster management, and query optimization.
- Proven ability to manage structured and unstructured data pipelines at scale. - Experience with AWS cloud services for data engineering. - Strong version control and CI/CD experience.
- Experience with vector databases (OpenSearch, Pinecone, Weaviate, etc.) - Familiarity with containerized workflows (Docker, Kubernetes) - Experience supporting LLM or generative AI production systems
- Develop and manage structured and unstructured data pipelines supporting analytics, ML, and application workloads. Build and optimize ETL/ELT pipelines in AWS using services such as S3, Lambda, Step Functions, EMR, Glue, ECS/EKS, and IAM best practices. Implement and operate NiFi flows for high‑throughput, low‑latency data ingestion and transformation. - Develop, orchestrate, and schedule workflows using Prefect, ensuring reliability, observability, and proper error handling. Implement indexing, search, and retrieval patterns using ElasticSearch, including schema design, cluster management, and query optimization. - Collaborate closely with architecture, ML, and application teams to support scalable data solutions.
- Solid understanding of ETL/ELT processes and data modeling best practices. - Hands‑on experience implementing workflows in Prefect (Prefect 2.0 preferred). In‑depth knowledge of ElasticSearch indexing, cluster management, and search optimization. - Proficiency in Python and familiarity with common data libraries (Pandas, PySpark, requests, etc.).
Your next step
Complete your application on boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has Accenture Federal Services posted this job before?
Yes. We’ve followed 8 other Data Engineer jobs there since May 2026. One came down after 1 day. 7 are still up.
Large employers often post one title for several teams, so these can be separate openings.
About Accenture Federal Services
- People
- About 814,000 in 2026, up 4% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as ACN.
- H-1B visas
- 294 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.
Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.
Join us to drive positive, lasting change that moves missions and the government forward!
We are looking for a Data Engineer with strong hands‑on experience designing, developing, and managing large‑scale data workflows across structured and unstructured datasets. This role focuses heavily on building reliable RAG (Retrieval-Augmented Generation) pipelines, orchestrating ETL/ELT processes, and deploying scalable data systems in AWS.
Responsibilities
- Design, build, and maintain RAG pipelines, including document ingestion, indexing, embedding workflows, and model retrieval flows.
- Develop and manage structured and unstructured data pipelines supporting analytics, ML, and application workloads. Build and optimize ETL/ELT pipelines in AWS using services such as S3, Lambda, Step Functions, EMR, Glue, ECS/EKS, and IAM best practices. Implement and operate NiFi flows for high‑throughput, low‑latency data ingestion and transformation.
- Develop, orchestrate, and schedule workflows using Prefect, ensuring reliability, observability, and proper error handling. Implement indexing, search, and retrieval patterns using ElasticSearch, including schema design, cluster management, and query optimization.
- Collaborate closely with architecture, ML, and application teams to support scalable data solutions.
- Ensure data quality, lineage, governance, and security across all pipelines.
- Monitor system performance and troubleshoot issues across distributed data systems.
Qualifications
- Solid understanding of ETL/ELT processes and data modeling best practices.
- Hands‑on experience implementing workflows in Prefect (Prefect 2.0 preferred). In‑depth knowledge of ElasticSearch indexing, cluster management, and search optimization.
- Proficiency in Python and familiarity with common data libraries (Pandas, PySpark, requests, etc.).
Preferred Qualifications
- Strong experience with Apache NiFi for data flow management and real‑time ingestion.
- Experience building or maintaining RAG pipelines (e.g., vector databases, embeddings, document chunking strategies, retrieval optimization).
- Proven ability to manage structured and unstructured data pipelines at scale.
- Experience with AWS cloud services for data engineering.
- Strong version control and CI/CD experience.
- Experience with vector databases (OpenSearch, Pinecone, Weaviate, etc.)
- Familiarity with containerized workflows (Docker, Kubernetes)
- Experience supporting LLM or generative AI production systems
- Background in distributed systems, streaming platforms, or data mesh architectures
Clearance
- An active TS/SCI federal security clearance is required
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is:
$118,900—$162,300 USD
What We Believe
As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement.
Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.
Requesting An Accommodation
Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is: $118,900—$162,300 USD What We Believe
- Location & working pattern
Tampa, FL
Working pattern and location restrictions need checking in the full posting.
- Work authorization
Clearance - An active TS/SCI federal security clearance is required As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
More source context
Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.
More relevant text appears in the full description.