Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Lead Data Engineer
Columbus, OH, United States
Live, first seen by us 42 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
Before you apply
- Employer’s visa record
- 272 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
What you’ll work on
Full postingEmbed with infrastructure teams to map data sources, owners, and quality gaps
Build integrations that publish governed data products into a data mesh
Set data quality rules and monitoring at the source, and lead root-cause fixes
Define and implement data contracts between producers and consumers
Reconcile and certify infrastructure asset inventories
From the employer’s posting
Embed with infrastructure product teams to discover current-state data sources, ownership, definitions, formats, and quality gaps
Design and deliver integrations that publish governed data products into a data mesh ecosystem
Establish data quality rules and monitoring at the source, driving remediation and preventing recurring issues through root-cause analysis and durable fixes
Define and implement data contracts that make producer/consumer expectations explicit
Reconcile and certify infrastructure asset inventories to close completeness and accuracy gaps
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 30, 202642 days ago
- Recorded sightings
- 199
- Last seen by us
- Nov 12, 2026
- Employer says posted
- Sep 24, 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 42
Similar jobs usually come down between day 6 and day 56.
Well past JPMorgan Chase’s usual: its jobs come down by about day 15.
From 13,338 similar postings that came down, and 983 of JPMorgan Chase’s. Coming down is not always a hire.
JPMorgan Chase is hiring
362 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- 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
- Hadoop
- Kafka
- Spark
Where the posting names them
- Familiarity with anomaly detection, pattern analysis, or big data frameworks such as Hadoop/Spark - Working knowledge of Java sufficient to contribute to or uplift existing Java-based platforms (e.g., Verum SOR) as needed
- 5+ years of hands-on data engineering experience spanning data modeling, data pipeline development, and data quality engineering - Proficiency in Python and SQL, with the ability to build reliable, testable data transformations and integrations - Demonstrated experience diagnosing data quality issues (completeness, accuracy, timeliness, consistency) and implementing controls to prevent recurrence
- Experience with streaming services like Kafka - Familiarity with anomaly detection, pattern analysis, or big data frameworks such as Hadoop/Spark - Working knowledge of Java sufficient to contribute to or uplift existing Java-based platforms (e.g., Verum SOR) as needed
- Familiarity with graph databases or dependency mapping concepts (e.g., using graph-style modeling to represent relationships between assets) - Experience with streaming services like Kafka - Familiarity with anomaly detection, pattern analysis, or big data frameworks such as Hadoop/Spark
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 7 other Lead Data Engineer jobs there since May 2026. All 7 are still up.
Large employers often post one title for several teams, so these can be separate openings.
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 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 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
As a Lead Data Engineer (Forward Deployed) at JPMorganChase within the Infrastructure Data Platforms team, you will embed with infrastructure product teams to turn how asset and configuration data exists today into trusted, governed data products that power security controls and enterprise analytics. You will partner directly with teams across compute, network, storage, and cloud to close data visibility gaps and strengthen the firm’s ability to detect and respond to emerging threats.
Job Responsibilities
- Embed with infrastructure product teams to discover current-state data sources, ownership, definitions, formats, and quality gaps, and translate findings into a measurable enablement plan
- Design and deliver integrations that publish governed data products into a data mesh ecosystem, ensuring completeness, standardization, and lineage
- Establish data quality rules and monitoring at the source, driving remediation and preventing recurring issues through root-cause analysis and durable fixes
- Standardize critical data attributes and definitions across domains to enable reliable downstream consumption, interoperability, and policy enforcement
- Define and implement data contracts that make producer/consumer expectations explicit and reduce operational risk for dependent teams
- Reconcile and certify infrastructure asset inventories to close completeness and accuracy gaps that create security and control exposure
- Partner with product, engineering, and governance stakeholders to align on authoritative sources, stewardship, and decision rights for key infrastructure datasets
- Maintain strong metadata management practices (cataloging, lineage, and stewardship signals) to support auditability and operational transparency
Required Qualifications, Capabilities, and Skills
- Formal training or certification on data engineering concepts and 5+ years applied experience
- 5+ years of hands-on data engineering experience spanning data modeling, data pipeline development, and data quality engineering
- Proficiency in Python and SQL, with the ability to build reliable, testable data transformations and integrations
- Demonstrated experience diagnosing data quality issues (completeness, accuracy, timeliness, consistency) and implementing controls to prevent recurrence
- Experience working directly with partner teams
- Working knowledge of infrastructure or asset-related data domains (e.g., compute, network, storage, cloud) sufficient to model and normalize inventory data
- Strong problem-solving skills, including the ability to investigate complex data discrepancies across multiple systems and dependencies
- Comfortable dealing with ambiguity and a fast-changing environment, with the ability to lead and drive effort to completion
- Familiarity with data contract patterns and practical data quality frameworks (rule definition, monitoring and exception management)
Preferred Qualifications, Capabilities, and Skills
- Experience with IT asset management or configuration management concepts (e.g., asset inventories, configuration management databases)
- Exposure to data mesh and data product operating models, including publishing reusable datasets for broad consumption
- Experience with semantic modeling across infrastructure layers to connect assets across application, platform, storage, and network contexts
- Familiarity with graph databases or dependency mapping concepts (e.g., using graph-style modeling to represent relationships between assets)
- Experience with streaming services like Kafka
- Familiarity with anomaly detection, pattern analysis, or big data frameworks such as Hadoop/Spark
- Working knowledge of Java sufficient to contribute to or uplift existing Java-based platforms (e.g., Verum SOR) as needed
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
Columbus, OH, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.