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 Python Software Engineer III
Chicago, IL, United States
Actively hiring, first seen by us 7 days 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 postingDevelop, test and maintain critical data pipelines and architectures
Update logical or physical data models for new use cases
Make configuration and customization changes to generate products for business or customer requests
Support review of controls that protect enterprise data
Use enterprise-authorized AI to speed up pipeline design analysis and documentation, validating outputs
From the employer’s posting
developing, testing, and maintaining critical data pipelines and architectures
Updates logical or physical data models based on new use cases
Responsible for making configuration and customization changes to generate a product at business or customer requests
Supports review of controls to ensure sufficient protection of enterprise data
Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs
What you’ll bring
All qualificationsCore experience
- Formal training or certification in data engineering concepts
- 3+ years applied experience with hands-on Python coding and data analytics
- Advanced SQL skills such as joins and aggregations
- Working understanding of NoSQL databases
- Significant experience with statistical data analysis
Qualification wording
Formal training or certification on data engineering concepts
3+ years applied experience and hands on coding with Python, along with data analytics experience
Advanced SQL skills (e.g., joins and aggregations)
working understanding of NoSQL databases
Significant experience with statistical data analysis
Posting record
Report an errorActively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 28, 20267 days ago
- Recorded sightings
- 11
- 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 7
Similar jobs usually come down between day 6 and day 54.
At JPMorgan Chase, jobs usually come down by about day 15.
From 10,948 similar postings that came down, and 914 of JPMorgan Chase’s. Coming down is not always a hire.
JPMorgan Chase is hiring
410 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
- 2% 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
- SQL
- AWS
- NoSQL
Where the posting names them
Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team. As a Data Python Software Engineer III at JPMorganChase within the Commercial & Investment Bank Global Banking Technology team, you will serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives. Job Responsibilities
Required qualifications, capabilities, and skills - Formal training or certification on data engineering concepts and 3+ years applied experience and hands on coding with Python, along with data analytics experience. - Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.
- Updates logical or physical data models based on new use cases - Frequently uses SQL and understands NoSQL databases and their niche in the marketplace - Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency and security expectations.
- Ability to review and validate AI-assisted outputs (e.g., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements. - Advanced SQL skills (e.g., joins and aggregations) and working understanding of NoSQL databases - Significant experience with statistical data analysis and able to determine appropriate tools and data patterns to perform analysis.
Preferred qualifications, capabilities, and skills - Hands on experience with AWS - Familiarity with modern front-end technologies
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
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
Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
As a Data Python Software Engineer III at JPMorganChase within the Commercial & Investment Bank Global Banking Technology team, you will serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.
Job Responsibilities
- Supports review of controls to ensure sufficient protection of enterprise data
- Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.
- Responsible for making configuration and customization changes to generate a product at business or customer requests and advising colleagues in requests
- Updates logical or physical data models based on new use cases
- Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
- Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency and security expectations.
Required qualifications, capabilities, and skills
- Formal training or certification on data engineering concepts and 3+ years applied experience and hands on coding with Python, along with data analytics experience.
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted outputs (e.g., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements.
- Advanced SQL skills (e.g., joins and aggregations) and working understanding of NoSQL databases
- Significant experience with statistical data analysis and able to determine appropriate tools and data patterns to perform analysis.
- Experience customizing changes in tools to generate product outputs and involved with working with Product Owner to analyze and interpret data.
Preferred qualifications, capabilities, and skills
- Hands on experience with AWS
- Familiarity with modern front-end technologies
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Chicago, IL, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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