Data engineer jobs in the United States

Find data engineer jobs across the United States. Choose a place, compare current openings and read the employer’s requirements.

Counted Nov 5, 2026

Hiring at a glance

View jobs

Open jobs: 4,665
Employers: 2,075

Advertised starting pay

Average starting payUSD / year: $125,907Across 822 listings
Average starting payUSD / hour: $60.49Across 462 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 12%567 listings
Hybrid: 6%292 listings
On-site: 8%384 listings

Not specified: 73% (3,422 listings)

Employers hiring include Eliassen Group (294), Booz Allen Hamilton_United States (72), Insight Global (65).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in the United States

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Added 25 days ago
Data Engineer
Newsela
Remote, United States
We are seeking a skilled Data Engineer with deep domain knowledge in the K-12 education ecosystem to join our team. In this role, you will be responsible for building and maintaining…
Added 25 days ago
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Senior Data Engineer
Metriport
San Francisco, CA
- $180,000 to $220,000 USD / year
Medical data exchange is one of the biggest unsolved problems in US healthcare. If you've spent any real time in the healthcare system, you've felt it, and it only gets worse the sicker and…
Added 25 days ago
M
Staff Data Engineer
Metriport
San Francisco, CA
- $200,000 to $260,000 USD / year
Medical data exchange is one of the biggest unsolved problems in US healthcare. If you've spent any real time in the healthcare system, you've felt it, and it only gets worse the sicker and…
Added 25 days ago
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Senior Vice President, AI / Machine Learning Data Engineer
BNY
New York, NY · Jersey City, NJ · NY
- $126,000 to $210,000 USD / year
Added 25 days ago
MM
Sr. Data Engineer
Mariana Minerals
Ann Arbor, MI · Houston, TX · San Francisco, CA
- $140,000 to $200,000 USD / year
Mariana Minerals is building the critical minerals supply chain from the ground up - and we're looking for a Senior Data Engineer to help ma
Added 25 days ago
Data Engineer
Matterworks, Inc.
Somerville, MA
Added 25 days ago
Data Engineer II - Surgery
Mount Sinai Health System
New York, NY
The Mount Sinai Program for Surgical Intelligence is seeking a Data Engineer to support the development and deployment of data-driven tools in surgical care. This role will focus on…
Added 25 days ago
Senior Data Engineer
KAYAK
Concord, MA
Added 25 days ago
Senior Data Engineer (in person)
SEP
Westfield, IN
Data is only as powerful as the foundation beneath it. At SEP, we're building that foundation - and we're looking for a Senior Data Engineer who's ready to lead the way.
Added 25 days ago
Data Engineer (in person)
SEP
Westfield, IN
SEP is looking for a data engineer to join our growing data practice and deliver data solutions for our clients. We've been helping companies build great software products since 1988 in a…
Added 25 days ago
Data Engineer
Virtualitics, Inc
DC
Added 25 days ago
Data Engineer
Reply
Detroit Area, MI · Chicago, IL
Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation…
Added 25 days ago
Data Engineer
Reply
Atlanta, GA · Kansas City, MO · Philadelphia area, PA
Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation…
Added 25 days ago
Senior Data Engineer
Hyperbolic Labs
San Francisco, CA
Added 25 days ago
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Senior Data Engineer
Healthleap
San Francisco, CA
- $175,000 to $275,000 USD / year
Added 25 days ago
HA
Data Science/ Data Engineer Intern
Hadrian Automation
Torrance, CA
- $46.15 to $50.71 USD / hour
Added 25 days ago
Senior Data Engineer, AI Systems
Movable Ink
NY
Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize…
Added 25 days ago
Senior Data Engineer, AI Systems
Movable Ink
NY
Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize…
Added 25 days ago
S
Senior Data Engineer
SteerBridge
Vienna, VA
- $135,000 to $160,000 USD / year
Added 25 days ago
S
Senior Data Engineer
SteerBridge
Vienna, VA
- $135,000 to $175,000 USD / year
Added 25 days ago
S
Junior Data Engineer
SteerBridge
Vienna, VA
- $85,000 to $105,000 USD / year
Added 25 days ago
S
Data Engineer
SteerBridge
Vienna, VA
- $125,000 to $140,000 USD / year
Added 25 days ago
S
Data Engineer
Smarsh
Remote, United States
- $160,000 to $180,000 USD / year
As a Database Engineer on the Professional Archive team, you'll operate as a subject-matter expert for the data infrastructure that powers our platform – driving the architecture, scaling,…
Added 25 days ago
M
Data Engineer, Data Products
Minerva
New York City, NY
- $170,000 to $236,000 USD / year
Added 25 days ago
M
Staff Data Engineer
Minerva
New York City, NY
- $237,000 to $265,000 USD / year

JPMC page

Lead Data Engineer - ETL Java AI

Columbus, OH, United States

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Job details

Posting language: English
Posted: Oct 15, 2026

Original job description

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 Consumer & Community Banking Marketing Technology team, 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
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
Lead architecture and hands-on delivery of large-scale data pipelines (ETL/ELT) covering ingestion, transformation, validation, reconciliation, and publishing across curated layers
Design and operationalize data lake patterns, including partitioning strategies, data quality controls, lineage, governance, and reusable datasets/data products
Build and optimize distributed processing workloads using Apache Spark and modern storage/file formats (e.g., Parquet, Avro)
Drive performance tuning across compute and storage (e.g., Spark tuning: shuffle, joins, caching, skew handling; and warehouse tuning where applicable)
Implement engineering best practices: code quality, automated testing, CI/CD, observability (metrics/logs/traces), security-by-design, and operational readiness
Build and maintain Java-based services and components that support data workflows (e.g., ingestion services, orchestration helpers, APIs, data access layers)
Develop REST APIs and integration components to enable downstream consumption and platform interoperability
Apply modern application engineering practices (clean architecture, SOLID principles, test automation, and secure coding practices)

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
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
10+ years of software engineering experience, with strong depth in data engineering/big data platforms
Strong hands-on development experience in Java plus proficiency in at least one data-focused language such as Python
Proven experience designing and building robust ETL/ELT pipelines and data integration frameworks
Strong experience with Apache Spark and distributed processing concepts (fault tolerance, partitioning, performance tuning)
Strong understanding of data storage serialization and formats such as Parquet and Avro
Solid knowledge of data lake/lakehouse concepts and patterns (e.g., Medallion architecture), including data quality, metadata, and governance considerations
Experience working with cloud data warehouses such as Snowflake (loading/unloading patterns, performance basics) or equivalent
Ability to lead technical discussions, communicate clearly to varied stakeholders, and drive delivery in cross-functional environments

Preferred qualifications, capabilities, and skills

Experience with orchestration and workflow scheduling tools (e.g., Airflow, Dagster, Control-M, etc.)
Exposure to streaming/event-driven processing (e.g., Kafka, Spark Structured Streaming) and incremental processing patterns (CDC, upserts)
Experience with table formats / ACID layers (e.g., Delta Lake, Apache Iceberg, Hudi).
Strong production operations mindset (on-call practices, SLAs/SLOs, observability, incident response).
Experience in regulated environments (risk, audit, compliance, privacy, PII handling).
Experience with cost optimization / FinOps practices for data platforms.
Experience with working with Agentic AI / Gen AI solutions and capabilities will be an added advantage.

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

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More about this job

Skills

Data engineering
Oracle Java
Troubleshooting
Root cause analysis
Test automation
Software development
Apache Spark
Apache Avro
CI/CD
API development
Software development tools
Coaching
Python
Data storage
Snowflake
Workflow
Scheduling
Apache Airflow
Apache Kafka
Incident response
Sales
Customer service
Child care
Mental health
Compensation and benefits

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