JPMorgan Chase & Co.

Data Engineer III - ETL

JPMorgan Chase & Co. Jersey City, New Jersey, United States · $119K–$160K/yr

Financial Services · 10,001+ employees

4 h ago
data-engineer Mid (2-5 yrs) Full-time United States
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About the role

Develop, test, and maintain critical data pipelines and architectures that support business objectives, while ensuring data is secure, stable, and scalable. Review data controls, update data models, customize data products, and use authorized AI capabilities to support pipeline analysis and quality practices.

What they look for

Data Engineering ETL/ELT Pipelines SQL Oracle Databricks ThoughtSpot Data Modeling JSON and Semi-Structured Data Performance Tuning Git Bitbucket GitHub AI-Assisted Data Engineering Statistical Data Analysis Data Security and Controls Problem-Solving and Debugging

Requirements

Requires formal training or certification in data engineering concepts and at least three years of applied experience building and deploying production data pipelines. Candidates should have strong SQL and Oracle skills, hands-on ETL/ELT and JSON experience, familiarity with Databricks Genie Spaces and ThoughtSpot integration, Git-based workflows, and the ability to validate AI-assisted outputs responsibly.

Benefits

Health Care Coverage On-Site Health and Wellness Centers Retirement Savings Plan Backup Childcare Tuition Reimbursement Mental Health Support Financial Coaching

Full description

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

As a Data Engineer III at JPMorganChase within the Corporate Technology , you 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 in data engineering, with a track record of developing and deploying business critical pipelines in production.
  • Experience across the data lifecycle with hands-on experience in building and optimizing ETL/ELT pipelines (performance tuning, partitioning, file sizing, and incremental loads)
  • Proficiency in SQL, including advanced techniques such as joins, analytics and window functions, and query optimization
  • Experience working with Databricks Genie Spaces and ThoughtSpot integration to Databricks
  • Strong Oracle experience, including DDL/DML and schema design best practices, and Oracle performance tuning (execution plans, indexes, partitioning, and statistics)
  • Experience handling JSON and semi-structured data, including parsing, flattening, and schema evolution considerations
  • Proficiency with Git-based workflows using Bitbucket and/or GitHub, with comfort working in IntelliJ IDEA or similar integrated development environments
  • Strong problem-solving and debugging skills across ingestion, transformation, and serving layers
  • 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.
  • Experience with statistical data analysis and able to determine appropriate tools and data patterns to perform analysis and customizing changes in tools to generate product outputs

Preferred qualifications, capabilities, and skills

  • Experience enabling or administering Unity Catalog, including catalog and schema design, permissions management, and lineage and metadata patterns
  • Understanding of Datalake , Datamesh and Lakehouse architectures
  • Exposure to containerization and orchestration technologies such as Docker or Kubernetes
  • Familiarity with CI/CD tooling and DevOps practices
  • Knowledge of financial services technology or regulated industry environments

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

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