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Lead Software Engineer - Data Engineer [AWS, SQL, Python/Java]

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 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

From the employer’s posting
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
Apply at JPMorgan Chase

Posting record

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Actively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 26, 202613 days ago
Recorded sightings
30
Last seen by us
Nov 8, 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

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.

Time since we first saw it

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.

JPMorgan Chase is hiring

383 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
Hiring record

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
Where the posting names them
- 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.

Your next step

Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.

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  • Each employer sets which files it accepts, so read the note beside the upload field.

Already applied? Track this application

About JPMorgan Chase

People
About 318,512 in 2025.Annual report (SEC Form 10-K)
Company
Listed as JPM.
Layoff notices
Notices this year and last cover 152 people. The latest was filed March 23, 2026.State WARN notices

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,312, and the latest week had 1,079.
August 17Last week

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.

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

View original posting ↗

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. 

As a Lead Software Engineer at JPMorganChase within the Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. 

Job responsibilities
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
  • 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 to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • 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, technical credentials, and applicability for use within existing systems and information architecture
Required qualifications, capabilities, and skills
  • 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 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.
  • Solid software engineering fundamentals, with experience delivering and supporting solutions in a production environment.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
 
Preferred qualifications, capabilities, and skills
  • Proficiency in automation and continuous delivery methods; strong SDLC discipline (CI/CD, testing, code quality, release controls)
  • Advanced understanding of agile delivery, application resiliency, and secure engineering practices
Source details

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Location & working pattern

Houston, TX, United States

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