Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,160 postings in the last year. Stated ranges, not salaries paid.
Dublin, Ohio, United States
Actively hiring, first seen by us todayEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Create new database environments for clients
Build processes to move client data to new systems
Develop ways for clients to access their data quickly, efficiently and securely
Contribute to plans for client data systems for stakeholder approval
Create new database environments.
Create processes to move client data to new systems.
Develop means for client to access their data and ensure that it is done so quickly, efficiently and securely.
Contribute to the development of plans for client data systems for approval by stakeholders.
Position requires a Master’s Degree in Computer Science, Engineering, or related field
One (1) year experience must have included: Python, Java, SQL, PL/ SQL, PySpark, Databricks, Power BI.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,160 postings in the last year. Stated ranges, not salaries paid.
Day 0
Early. Similar jobs usually come down between day 6 and day 54.
At Dataeconomy, jobs usually come down by about day 69.
From 11,508 similar postings that came down, and 10 of Dataeconomy’s. Coming down is not always a hire.
19 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
JOB TITLE: Data Engineer III Ref. #: 2345.047 JOB DUTIES: Help clients by creating systems to store data. Contribute to the development of plans for client data systems for approval by stakeholders. Create new database environments. Create processes to move client data to new systems. Develop means for client to access their data and ensure that it is done so quickly, efficiently and securely. Travel and/or Relocation to various unanticipated locations throughout the U.S. required. The purpose of travel and/or relocation would be to work with clients on projects. The frequency of travel and/or relocation will be determined by the needs of clients. Work with the following: Python, Java, SQL, PL/ SQL, PySpark, Databricks, Power BI. Requirements Position requires a Master’s Degree in Computer Science, Engineering, or related field and twelve (12) months experience. One (1) year experience must have included: Python, Java, SQL, PL/ SQL, PySpark, Databricks, Power BI. Travel and/or Relocation to various unanticipated locations throughout the U.S. required. The purpose of travel and/or relocation would be to work with clients on projects. The frequency of travel and/or relocation will be determined by the needs of clients. Travel duration and frequency is based on project goals and outcomes. Duration will depend on project complexity and can range from days to months. The nature of travel will be to work with clients to ensure that highest level of client satisfaction is achieved for each project thus actual frequency will be determined upon the needs of varying clients.
Complete your application on dataeconomy.zohorecruit.in. The employer’s form will show what is required.
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Yes. We’ve followed 3 other Data Engineer III jobs there since October 2026. All 3 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.
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Dublin, Ohio, United States
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.