Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,159 postings in the last year. Stated ranges, not salaries paid.
Houston, TX, United States
Actively hiring, first seen by us 13 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Design, build and debug secure, high-quality production code
Drive team adoption of approved AI-assisted engineering practices
Eliminate or automate remediation of recurring operational issues
Lead evaluation sessions with vendors and internal teams on architecture designs
Develops secure and high-quality production code, and reviews and debugs code written by others
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs
Actively hiringFirst seen by us 13 days ago, 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 2,159 postings in the last year. Stated ranges, not salaries paid.
Day 13
Similar jobs usually come down between day 6 and day 54.
At JPMorgan Chase, jobs usually come down by about day 15.
From 11,573 similar postings that came down, and 933 of JPMorgan Chase’s. Coming down is not always a hire.
383 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.
- Strong experience in Data Engineering, Python, SQL, AWS Tech Stack - Strong hands-on Python/Java development experience, with the ability to design, build, and support production-grade applications and data pipelines. - Strong SQL skills and experience working with data processing and data engineering workloads.
- Formal training or certification on software engineering concepts and 5+ years applied experience - Strong experience in Data Engineering, Python, SQL, AWS Tech Stack - Strong hands-on Python/Java development experience, with the ability to design, build, and support production-grade applications and data pipelines.
- Strong hands-on Python/Java development experience, with the ability to design, build, and support production-grade applications and data pipelines. - Strong SQL skills and experience working with data processing and data engineering workloads. - Hands-on experience with AWS cloud services and building cloud-native solutions.
- Strong SQL skills and experience working with data processing and data engineering workloads. - Hands-on experience with AWS cloud services and building cloud-native solutions. - Strong experience with Databricks, including development and processing of large datasets.
- Hands-on experience with AWS cloud services and building cloud-native solutions. - Strong experience with Databricks, including development and processing of large datasets. - Solid software engineering fundamentals, with experience delivering and supporting solutions in a production environment.
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
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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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Houston, TX, United States
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.