Data Engineer III (Databricks)

Reposted One Month Ago
2 Locations
Hybrid
Mid level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Design, build, test, and maintain scalable ELT/data pipelines and architectures using Python, Databricks, and AWS. Ensure data security and controls, update data models, and perform advanced SQL and statistical data analysis to support business analytics.
Summary Generated by Built In

Are you ready to shape the future of data engineering at JPMorgan Chase? Join a dynamic team where your unique skills will help build innovative solutions and contribute to a winning culture. You’ll have opportunities for career growth, collaborate with talented professionals, and make a real impact on our business objectives. Your expertise will empower our teams and drive success across the firm. 

As a Data Engineer at JPMorgan Chase as a part of our agile team, you will design and deliver reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable. You will develop, test, and maintain essential data pipelines and architectures, supporting various business functions to achieve the firm’s goals. Working with us, you will use your skills to drive innovation and help shape our team culture. Together, we focus on excellence, collaboration, and continuous improvement.

Job responsibilities

  • Develop workflows and ELT pipelines using Python and Databricks.

  • Support review of controls to ensure sufficient protection of enterprise data.

  • Implement data security using entitlements frameworks.

  • Update logical or physical data models based on new use cases.

  • Use SQL frequently and understand NoSQL database

     

    Required qualifications, capabilities, and skills

 

  • Experience with streaming/event-driven processing concepts relevant to data streaming pipelines (event-time vs processing-time, windowing/aggregation, late data handling, replay/backfill, idempotency, backpressure). Hands-on experience in Kafka/Flink or similar tools required.
  • Proven ability to implement metadata-driven ingestion frameworks on central data platform and audit-friendly designs  (checksums, batch IDs, extract timestamps, ingestion status tracking) with highly scalable and reusable data products.
  • Strong data quality engineering skills (validation rules, standardized transformation patterns, exception handling/quarantine, and completeness checks) and hands-on experience on orchestration tool like Airflow and processing tools Databricks and AWS services like Glue, lambda, EKS and other data analytics and compute services in AWS.

 

Preferred qualifications, capabilities, and skills

  • Direct experience on building/operating telemetry ingestion pipelines (logs/metrics/events) and enabling operational troubleshooting/triage use cases from curated telemetry datasets.
  • Experience with enterprise entitlements and distribution constraints, especially where producer/consumer patterns or refined-zone object ownership/access requires guardrails.
  • Strong operational engineering background: resiliency design, automation for rebuild/repave recovery, central data platform for producer and consumer layers(similar to datamesh), and disciplined production practices (runbooks, ticketing workflows, version control, and platform readiness expectations). 
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.
  
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.
About the TeamOur 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.

Skills Required

  • Formal training or certification on software engineering concepts and 3 years applied experience
  • Good working knowledge of AWS, Databricks, and Python
  • Develop workflows and ELT pipelines using Python and Databricks
  • Advanced SQL, including joins and aggregations
  • Working understanding of NoSQL databases
  • Experience across the data lifecycle
  • Significant experience with statistical data analysis and tool/pattern selection
  • Utilize AWS Cloud Services for developing, deploying, and managing applications at scale
  • Working knowledge of software development lifecycle tools for configuration management, CI/CD, unit/regression/performance testing
  • MLOps skills

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

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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