Data Python Software Engineer III
Chicago, IL, United States
- 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
Tools in this posting
- Python
- SQL
- AWS
- NoSQL
Source — Tool mentions in context
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
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
- Oct 28, 2026 · 1 day ago
- Recorded sightings
- 5
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
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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
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- Location & working pattern
Chicago, IL, United States
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- Work authorization
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