Lead Software Engineer- Data Engineer/Pyspark/Databricks
JPMorgan Chase & Co. Houston, Texas, United States
Financial Services · 10,001+ employees
Applying here? Try the free cover letter tool — paste this posting and your résumé, no account needed.
About the role
Develop secure, high-quality production code for data-intensive applications and mentor other engineers. Drive the adoption of advanced technical methods and AI-assisted engineering practices to improve code quality and operational outcomes.
What they look for
Requirements
Requires hands-on experience in system design, application development, and operational stability at enterprise scale. Proficiency in Python or Java, big data processing technologies, and cloud-native environments is essential.
Benefits
Full description
If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place.
As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector, you provide expertise and engineering excellence as an integral part of an agile data engineering team. To enhance, build, and deliver a trusted market leading Global Know Your Customer (KYC) and Risk Assessment Data Platform in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm’s portfolios.
Job Responsibilities:
- Develops secure, high-quality production code for data-intensive applications and platforms, and reviews and mentors other engineers
- Creates durable, reusable software frameworks and patterns that are leveraged across teams and functions
- Drives adoption of advanced technical methods and practices aligned with the latest industry standards and product development methodologies
- Advises cross-functional teams on technological matters within your domain of expertise
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• 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.
- 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 at scale.
Required qualifications, capabilities, and skills
- Hands-on practical experience delivering system design, application development, testing, and operational stability at enterprise scale
- Expert in one or more programming languages, particularly Python and/or Java
- Advanced knowledge of software application development and technical processes, with considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering)
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)
- Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance
- Practical cloud-native experience (AWS, Azure, or GCP)
- Ability to present and effectively communicate with senior leaders and executives
Preferred qualifications, capabilities, and skills
• Experience with modern data platforms such as Databricks or Snowflake
- Deep hands-on experience with Spark/PySpark and other big data processing technologies
- Expertise in open-source table formats and catalog services such as Apache Iceberg
- Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI)
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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
Our 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.
Similar roles
- Sr. Data Engineer (Remote)
-
Data Engineer
Security National Bank Sioux City, Iowa, United States
-
Data Engineer in Test
Prolaio Chicago, Illinois, United States · $134K/yr
-
Senior Data Engineer, Data Products
Apple Cupertino, California, United States
-
Data Engineer
Booz Allen Hamilton Arlington, Virginia, United States · $48K–$98K/yr
-
Data Engineer GCP - Senior
Multiplica Callao, Callao, Peru