Join a team that designs and develops scalable and secure distributed architectures and solutions, focusing on data ingestion and processing utilizing appropriate cloud native technologies and services.
As a Lead Data Engineer, within our Corporate Technology Team, you will design, implement, and maintain data pipelines that efficiently collect, process, and store large volumes of data from various sources, ensuring data timeliness, quality, and completeness, and ensure that data solutions comply with relevant data residency and privacy regulations, and implement best practices for securing data at rest and in transit in compliance with financial regulations and firm wide policies.
Job Qualifications:
- Design and develop scalable and secure distributed architectures and solutions, focusing on data ingestion and processing - utilizing appropriate cloud native technologies and services.
- Data pipeline development: Design, implement, and maintain data pipelines that efficiently collect, process, and store large volumes of data from various sources, ensuring data timeliness, quality, and completeness.
- Security and compliance: Ensure that data solutions comply with relevant data residency and privacy regulations, and implement best practices for securing data at rest and in transit in compliance with financial regulations and firm wide policies.
- Engages technical teams and business stakeholders to discuss and propose technical approaches to meet current and future needs
- Defines the technical target state of their product and drives achievement of the strategy
- Evaluates recommendations and provides feedback on new technologies
- Executes creative software solutions, design, and development
Required Qualifications, capabilities, and skills:
- Programming: Comfortable with Java/Python including sound testing and code review practices.
- SQL expertise: Joins, aggregations, subqueries, window functions
- Data pipelines: Design, build, and optimize production ETL/ELT pipelines (batch + streaming) using a popular framework (Spark, Flink, Dataflow, etc).
- Streaming: Hands-on with Kafka (topics, keys, partitions, consumer groups) at-least-once semantics, and schema registry basics.
- Warehousing/Lakehouse: Data modelling, partitioning, clustering. Hands-on with one of Snowflake, Databricks, etc, and cloud storage or HDFS.
- Cloud: Production experience with at least one major cloud provider (GCP/AWS) using native data services . FinOps-aware with cost-effective design.
- Reliability: Data quality checks, backfills, incorporating SLIs with observability and reporting and lakehouse platforms and table formats (Delta/Iceberg/Avro/Parquet) and time-travel.
Preferred qualifications, capabilities, and skills:
- Experience with Kafka, Flink, or other streaming technologies.
- Familiarity with AI/ML technologies including LLMs, prompt engineering, vector search, and responsible AI practices and experience using AI-assisted software development tools such as GitHub Copilot, Claude, or similar technologies.
- Financial services industry experience and understanding of large-scale enterprise data environments.
- Experience mentoring engineers and leading technical delivery initiatives.
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
- Experience designing and developing scalable, secure distributed data architectures and solutions
- Java or Python programming experience with sound testing and code review practices
- Advanced SQL skills, including joins, aggregations, subqueries, and window functions
- Experience designing, building, and optimizing production batch and streaming ETL/ELT pipelines using Spark, Flink, Dataflow, or a similar framework
- Hands-on Kafka experience, including topics, keys, partitions, consumer groups, at-least-once semantics, and schema registries
- Data modeling, partitioning, and clustering experience in a warehouse or lakehouse environment
- Hands-on experience with Snowflake, Databricks, or a similar platform
- Experience with cloud storage or HDFS
- Production experience with AWS, GCP, or another major cloud provider using native data services
- FinOps-aware, cost-effective cloud design experience
- Experience implementing data quality checks, backfills, SLIs, observability, reporting, and lakehouse table formats
- Experience with Kafka, Flink, or other streaming technologies
- Familiarity with AI/ML technologies, including LLMs, prompt engineering, vector search, and responsible AI
- Experience with AI-assisted development tools such as GitHub Copilot or Claude
- Financial services industry experience and understanding of large-scale enterprise data environments
- Experience mentoring engineers and leading technical delivery initiatives
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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