Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance (RM&C), you are at the center of keeping JPMorgan Chase strong and resilient.
As an Analytics Engineer Senior Associate at JPMorgan Chase within the RM&C Data Analytics & Intelligent Automation team, you’ll support our analytics engineering roadmap to enable cloud-native BI and analytics. You will consume JPMC’s data products, build and maintain integration/collation pipelines using appropriate ETL tooling, contribute to schema design, and produce high-impact dashboards and self-service analytics products that business teams trust and use.
Databricks is the primary platform. You will work across the Lakehouse stack—from ingestion through governed semantic models and self-service consumption—leveraging Delta Lake, Unity Catalog, Delta Live Tables (DLT), Databricks SQL, and Databricks Genie, with tools such as Alteryx, Prophecy, Snowflake, Tableau, and Sigma as part of the overall ecosystem.
Job Responsibilities
- Develop end-to-end pipelines on Databricks using DLT, Delta Lake, and Unity Catalog for governance, lineage, and access controls.
- Build ingestion/integration pipelines in Python/PySpark, consuming JPMC’s data products into the Lakehouse; use Alteryx/Prophecy as feeder tools where appropriate.
- Implement a governed self-service layer in Databricks SQL—curated semantic models, intuitive views, and controlled exposure—to enable independent exploration by business teams.
- Ensure proper data governance in partnership with data product owners and data architects, including cataloging, lineage, ownership, and entitlements.
- Communicate clearly with non-technical stakeholders; turn data into actionable narratives and decisions.
- Deliver executive-ready dashboards and self-service analytics in Tableau and/or Sigma on Databricks-served data.
- Use AI tooling, such as GitHub Copilot, to accelerate development while maintaining independent technical ownership and validating all AI-generated code/documentation.
Required Qualifications, Capabilities and Skills
- Degree or certification in Computer Science, Information Systems, Data Engineering, or a related discipline.
- 5+ of applied experience in data engineering, analytics engineering, or business intelligence in a complex, regulated environment.
- Hands-on ability to design, write, test, and maintain ETL pipelines independently, with strong SQL fluency and production-grade Python, PySpark experience.
- Strong communication skills and a customer-centric mindset, with the ability to engage business users to gather and clarify requirements and support adoption.
- Experience with Databricks, including building and executing pipelines on the platform.
- Experience with self-service analytics platforms, including working knowledge of semantic layers, BI data models, and governed virtualization for non-technical users.
- Comfort operating in a controlled environment, including change management and access control, with working knowledge of Git, Jules, and ServiceNow.
Preferred Qualifications, Capabilities and Skills
- Hands-on experience with Alteryx and Prophecy for ETL pipeline development.
- Familiarity with AWS cloud environments supporting data workloads.
- Prior experience in Risk Management, Compliance, Finance, or Audit, or demonstrated ability to rapidly develop fluency in risk and regulatory subject matter.
Skills Required
- Degree or certification in Computer Science, Information Systems, Data Engineering, or a related discipline.
- 5+ years of applied experience in data engineering, analytics engineering, or business intelligence in a complex, regulated environment.
- Ability to independently design, write, test, and maintain ETL pipelines.
- Strong SQL fluency and production-grade Python and PySpark experience.
- Strong communication skills and a customer-centric mindset, including gathering requirements and supporting business-user adoption.
- Experience with Databricks and building and executing pipelines on the platform.
- Experience with self-service analytics platforms, semantic layers, BI data models, and governed virtualization.
- Working knowledge of Git, Jules, and ServiceNow in a controlled environment with change management and access control.
- Hands-on experience with Alteryx and Prophecy for ETL pipeline development.
- Familiarity with AWS cloud environments supporting data workloads.
- Prior experience in Risk Management, Compliance, Finance, or Audit, or ability to develop fluency in risk and regulatory subject matter.
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 — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
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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