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.
- 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
- 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
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
Skills Required
- Formal training or certification in data engineering concepts
- At least 3 years of applied data engineering experience
- Experience developing and deploying business-critical production data pipelines
- Hands-on experience building and optimizing ETL/ELT pipelines, including performance tuning, partitioning, file sizing, and incremental loads
- Advanced SQL proficiency, including joins, analytical and window functions, and query optimization
- Experience with Databricks Genie Spaces and ThoughtSpot integration with Databricks
- Strong Oracle experience, including DDL, DML, schema design, execution plans, indexes, partitioning, statistics, and performance tuning
- Experience handling JSON and semi-structured data, including parsing, flattening, and schema evolution
- Proficiency with Git-based workflows using Bitbucket and/or GitHub
- Experience working in IntelliJ IDEA or a similar integrated development environment
- Strong problem-solving and debugging skills across ingestion, transformation, and serving layers
- Experience using enterprise-authorized AI capabilities in data engineering workflows
- Ability to validate AI-assisted outputs and follow data sensitivity and handling requirements
- Experience with statistical data analysis and selecting appropriate tools and data patterns
- Experience enabling or administering Unity Catalog, including catalog and schema design, permissions, lineage, and metadata
- Understanding of data lake, data mesh, and lakehouse architectures
- Exposure to Docker or Kubernetes
- Familiarity with CI/CD tooling and DevOps practices
- Knowledge of financial services technology or regulated industry environments
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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