As a Software Engineer II at JPMorgan Chase within our Corporate Investment Bank , Payments Technology team, you’ll design, build, and operate scalable data pipelines and analytics workloads on the Databricks Lakehouse platform. We’re looking for a Databricks Engineer to design, build, and operate scalable data pipelines and analytics workloads on the Databricks Lakehouse platform. You’ll partner with data analysts, data scientists, and application teams to deliver trusted datasets, performant ETL/ELT pipelines, and well-governed data products.
Job responsibilities
- Design and implement batch and streaming data pipelines using Databricks (Spark), Delta Lake, and orchestrators (e.g., Workflows, Airflow, ADF).
- Develop and optimize Spark jobs (PySpark/Scala) and SQL transformations for performance, reliability, and cost efficiency.
- Build and maintain curated data models (bronze/silver/gold), data quality checks, and automated testing.
- Implement CI/CD for notebooks and code (Git-based workflows), and automate deployments across environments.
- Manage and tune Databricks clusters, jobs, and configurations; monitor production workloads and resolve incidents.
- Integrate multiple data sources (cloud storage, relational DBs, APIs, event streams) and implement robust ingestion patterns.
- Apply data governance and security best practices (access controls, secrets management, lineage/metadata, auditing).
- Create clear documentation for pipelines, data contracts, and operational runbooks.
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
- 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
Required qualifications, skills and capabilities
- Experience with building data pipelines on Databricks and/or Apache Spark in production.
- Strong coding skills in Python (PySpark) and SQL (Scala a plus).
- Hands-on experience with Delta Lake (MERGE/UPSERT patterns, schema evolution, partitioning, Z-ORDER, OPTIMIZE/VACUUM).
- Experience with orchestration and scheduling (Databricks Workflows, Airflow, Azure Data Factory, etc.).
- Familiarity with cloud data platforms (AWS/Azure/GCP) and storage (S3/ADLS/GCS).
- Solid understanding of data engineering fundamentals: data modeling, ETL/ELT patterns, reliability, observability, and performance tuning.
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations
Preferred qualifications
- Experience with streaming (Structured Streaming, Kafka/Event Hubs/Kinesis).
- Experience implementing data quality frameworks (Great Expectations, DQ) and data testing in CI.
- Exposure to Unity Catalog (or similar) for governance and fine-grained permissions.
About UsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
Skills Required
- Experience building data pipelines on Databricks and/or Apache Spark in production.
- Strong coding skills in Python (PySpark) and SQL (Scala a plus).
- Hands-on experience with Delta Lake (MERGE/UPSERT, schema evolution, partitioning, Z-ORDER, OPTIMIZE/VACUUM).
- Experience with orchestration and scheduling (Databricks Workflows, Airflow, Azure Data Factory, etc.).
- Familiarity with cloud data platforms (AWS/Azure/GCP) and storage (S3/ADLS/GCS).
- Solid understanding of data engineering fundamentals: data modeling, ETL/ELT patterns, reliability, observability, performance tuning.
- Hands-on experience using enterprise-authorized AI-assisted software development tools and ability to validate AI-generated outputs.
- Understanding of responsible AI use in engineering workflows, including secure handling of inputs/outputs and data sensitivity.
- Experience with streaming (Structured Streaming, Kafka/Event Hubs/Kinesis).
- Experience implementing data quality frameworks (e.g., Great Expectations) and data testing in CI.
- Exposure to Unity Catalog or similar governance and fine-grained permissions.
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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