Pay
In line with similar jobs
$113K–$153K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Salary 112,597.33 – 152,810.66 USD per year Employment typeRead the full posting
Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence
Employment type Full Time Hybrid
Employment type in the employer’s posting: Full Time HybridFrom the employer’s posting
-Must be a US Citizen
Build data pipelines that store, manage, and provide data to consumers
Write code that keeps data extraction and processing fast and reliable
Support continuous process automation for data ingest
Implement and document complex, evolving requirements with program management and engineers
Complete development efforts across data pipeline to store, manage, store, and provision to data consumers.
Write code to ensure the performance and reliability of data extraction and processing.
Support continuous process automation for data ingest.
Work with program management and engineers to implement and document complex and evolving requirements.
Must be a US Citizen.
Must be able to obtain a Public Trust Clearance.
7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models.
Proficiency in developing ETL processes, and performing test and validation steps.
Proficiency to manipulate data (Python, R, SQL, SAS).
-Proficiency in developing ETL processes, and performing test and validation steps. -Proficiency to manipulate data (Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and technologies.
-Experience with DHS and knowledge of DHS standards a plus. -Candidates will be given special consideration for extensive experience with Python. -Ability to develop visualizations utilizing Tableau or PowerBI.
-Ability to develop visualizations utilizing Tableau or PowerBI. -Experience in developing Shell scripts on Linux. -Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions.
-Strong understanding of the CI/CD pipelines and ability to apply them. -Experience with relational database, such as, PostgreSQL. -Work comfortably in version control systems, such as, Git Repositories.
-Candidates will be given special consideration for extensive experience with Python. -Ability to develop visualizations utilizing Tableau or PowerBI. -Experience in developing Shell scripts on Linux.
Open 7 monthsWe first saw this posting 229 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$113K–$153K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 229
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 11,033 similar postings that came down. Coming down is not always a hire.
141 open jobs
Check the employer’s posting for the current role and application details.
Already applied? Track this application
Yes. We’ve followed 9 other Data Engineer jobs there since March 2026. All 9 are still up.
Large employers often post one title for several teams, so these can be separate openings.
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 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.
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.
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.
112,597.33 – 152,810.66 USD per year
Full Time Hybrid
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Salary 112,597.33 – 152,810.66 USD per year Employment type
Dallas, TX
Employment type Full Time Hybrid
Qualifications: -Must be a US Citizen. -Must be able to obtain a Public Trust Clearance.
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting