Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Data Engineer III - Senior Associate
Plano, TX, United States
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, develop and maintain scalable full stack applications in Java or Python
Build and optimize data pipelines and analytics solutions on Databricks, Spark and AWS
Analyze large datasets and develop scalable cloud-based solutions for business needs
Collaborate with cross-functional teams to deliver technology solutions
Explore and apply Agentic AI and AI-assisted development tools
From the employer’s posting
Design, develop, and maintain scalable full stack applications using Java or Python.
Build and optimize data pipelines and analytics solutions leveraging Databricks, Spark, and AWS technologies.
Analyze large datasets and develop scalable, cloud-based solutions to support business needs.
Collaborate with cross-functional teams to deliver innovative technology solutions.
Explore and apply emerging technologies, including Agentic AI and AI-assisted development tools.
What you’ll bring
All qualificationsCore experience
- Full stack software development experience in Java or Python
- Hands-on experience with AWS, Databricks and Apache Spark
- Strong background in data engineering, analytics and large-scale data processing
- Demonstrated analytical and problem-solving skills
- Experience with cloud-native architectures and scalable application design
Qualification wording
Experience in full stack software development using Java or Python.
Hands-on experience with AWS, Databricks, and Apache Spark.
Strong background in data engineering, analytics, and large-scale data processing.
Demonstrated analytical and problem-solving skills.
Experience with cloud-native architectures and scalable application design.
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 3, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 4, 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 1
Early. Similar jobs usually come down between day 5 and day 54.
From 10,704 similar postings that came down. Coming down is not always a hire.
JPMorgan Chase is hiring
413 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
- 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.
- Java
- Python
- SQL
- AWS
- Databricks
- Spark
Where the posting names them
We are seeking a Backend Data Engineer with strong API development experience in Java or Python, with full-stack capabilities as a plus. The ideal candidate brings hands-on expertise in cloud platforms (AWS preferred), Databricks, and Spark, with a solid foundation in data engineering and analytics. A strong data background with the ability to think analytically, design scalable data pipelines, and work with large datasets is essential. Experience or keen interest in Agentic AI and modern AI-assisted development workflows .skills - spark , sql , databricks , agentic ai , python or java ,ETL Job Responsibilities
Job Responsibilities - Design, develop, and maintain scalable full stack applications using Java or Python. - Build and optimize data pipelines and analytics solutions leveraging Databricks, Spark, and AWS technologies.
Required Qualifications - Experience in full stack software development using Java or Python. - Hands-on experience with AWS, Databricks, and Apache Spark.
- Design, develop, and maintain scalable full stack applications using Java or Python. - Build and optimize data pipelines and analytics solutions leveraging Databricks, Spark, and AWS technologies. - Analyze large datasets and develop scalable, cloud-based solutions to support business needs.
- Experience in full stack software development using Java or Python. - Hands-on experience with AWS, Databricks, and Apache Spark. - Strong background in data engineering, analytics, and large-scale data processing.
Your next step
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
Has JPMorgan Chase posted this job before?
Yes. We’ve followed one other Data Engineer III - Senior Associate job there since August 2026. It is still up.
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
We are seeking a Backend Data Engineer with strong API development experience in Java or Python, with full-stack capabilities as a plus. The ideal candidate brings hands-on expertise in cloud platforms (AWS preferred), Databricks, and Spark, with a solid foundation in data engineering and analytics. A strong data background with the ability to think analytically, design scalable data pipelines, and work with large datasets is essential. Experience or keen interest in Agentic AI and modern AI-assisted development workflows .skills - spark , sql , databricks , agentic ai , python or java ,ETL
Job Responsibilities
- Design, develop, and maintain scalable full stack applications using Java or Python.
- Build and optimize data pipelines and analytics solutions leveraging Databricks, Spark, and AWS technologies.
- Analyze large datasets and develop scalable, cloud-based solutions to support business needs.
- Collaborate with cross-functional teams to deliver innovative technology solutions.
- Explore and apply emerging technologies, including Agentic AI and AI-assisted development tools.
Required Qualifications
- Experience in full stack software development using Java or Python.
- Hands-on experience with AWS, Databricks, and Apache Spark.
- Strong background in data engineering, analytics, and large-scale data processing.
- Demonstrated analytical and problem-solving skills.
- Experience with cloud-native architectures and scalable application design.
- Exposure to or interest in Agentic AI, Generative AI, or AI-assisted development practices.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Plano, TX, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.