JP Morgan Chase & Co.

Lead Software Engineer - Data

JP Morgan Chase & Co.$100K — $130K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years formal training in software engineering concepts
  • 8+ years experience in software engineering and data application development
  • Expert-level SQL experience with focus on query tuning
  • Extensive experience with Databricks and the Databricks Lakehouse Platform
  • Strong experience in building data applications and pipelines using PySpark
  • Experience with Oracle databases and enterprise data architecture patterns
  • Proven ability to design scalable, reusable data products with strong data modeling skills

Responsibilities

  • Design, develop, and maintain consumer-aligned data products for enterprise analytics
  • Develop curated datasets and analytics-ready models for reporting and dashboards
  • Drive team adoption of AI-assisted engineering practices to improve code quality
  • Apply knowledge of development tools to enhance automation’s value
  • Design efficient SQL queries, views, stored procedures, and data models
  • Build reusable data assets supporting dashboards and automation
  • Ensure data quality, governance, lineage, and documentation in solutions
  • Optimize data processing performance and improve scalability
  • Collaborate with cross-functional teams including UX Designers and product owners
  • Stay updated on emerging technologies in cloud architecture and AI

Benefits

  • Collaborative, innovative work environment
  • Focus on career growth and professional development
  • Opportunity to work with advanced technology solutions
  • Engagement in impactful projects influencing enterprise strategy
  • Commitment to data governance and quality standards
Full Job Description
JOB DESCRIPTION

Description 

As a Lead Software Engineer at JPMorganChase within the Corporate Technology team, you will design, develop, and deliver scalable, consumer-aligned data products that power executive reporting , analytics, AI and business applications. This role is ideal for an experienced software engineer who has a deep expertise in data development and is passionate about transforming complex enterprise data into trusted reusable products. 

The ideal candidate has extensive experience with Databricks, SQL, PySpark, Oracle and modern data engineering practices. They will partner with the business stake holders, analytics teams, UI developers, and product owners to build high quality data products that enable self-service analytics, dashboards, AI solutions, and operational reporting.

Job Responsibilities

  • Design, develop, and maintain consumer-aligned data products that support enterprise reporting analytics
  • Develop curated datasets (Delta Lake tables) and analytics-ready models to support reporting, dashboards, and decision-making.
  • 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.
  • Design efficient, maintainable SQL queries, views, stored procedures, and reusable data models
  • Build reusable data assets that support dashboards, AI use cases, automation, and business applications
  • Ensure data quality, governance, lineage, and documentation are incorporated into all solutions
  • Optimize data processing performance and identify opportunity to improve scalability and efficiency
  • Collaborate closely with frontend developers, analytics engineers, UX Designers and product owners
  • Stay current on emerging technologies and recommend improvements in cloud data architecture , AI, and automation

 

Required Qualifications, Capabilities, and Skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • 8+ years in software engineering and/or data application development.
  • Expert-level SQL development experience, including query tuning and performance optimization.
  • Extensive experience with Databricks and the Databricks Lakehouse Platform.
  • Strong experience building data applications and pipelines using PySpark.
  • Experience with Oracle databases and enterprise data architecture / integration patterns.
  • Proven ability to design scalable, reusable data products for business consumers, grounded in strong data modeling (including dimensional modeling).
  • Experience with API integrations and consuming/combining data from multiple enterprise sources.
  • Operational excellence and modern delivery practices: incident response (triage/rollback/mitigation/postmortems), data lineage & impact analysis mindset, Agile methodologies, CI/CD, and strong analytical/communication/problem-solving skills.
  • 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

 

Preferred Qualifications, Capabilities, and Skills

  • Experience building executive dashboards using Tableau, Qlik, or Power BI.

  • Experience supporting AI, machine learning, or Generative AI initiatives.
  • Experience with automation technologies and workflow orchestration.
  • Experience designing semantic layers or enterprise data products.
  • Familiarity with cloud platforms such as AWS or Azure.
  • Experience mentoring engineers and leading technical solution design.

 

About JP Morgan Chase & Co.

JP Morgan Chase & Co. stands at the forefront of the global financial services industry. They offer an expansive array of products and services to a diverse clientele, including individuals, corporations, governments, and institutions. Ever since the merger of J.P. Morgan & Co. and Chase Manhattan Corporation in 2000, this industry-leading entity has become renowned for its comprehensive portfolio encompassing consumer and community banking, corporate and investment banking, commercial banking, as well as asset and wealth management. Headquartered in the vibrant city of New York, JP Morgan Chase & Co. boasts a formidable presence across over 100 countries worldwide.

Unveiling Employment Opportunities at JP Morgan Chase & Co.

Vacancies and Hiring Initiatives

JP Morgan Chase & Co. is continuously on the lookout for talented individuals eager to contribute to its legacy of excellence. The company's recruitment efforts are geared towards identifying candidates with the right blend of skills and qualifications to drive forward its various business segments. Whether you are a seasoned professional or a recent graduate, JP Morgan Chase offers a plethora of job openings across multiple disciplines.

High-Demand Positions

Among the myriad of roles, certain positions stand out for their attractive compensation packages and career advancement prospects. Notably, high-paying jobs at JP Morgan Chase & Co. include Relationship Manager, Branch Manager, and Software Engineer. These roles are critical to the firm's operations and offer lucrative opportunities for those with the requisite expertise.

Navigating the Job Market at JP Morgan Chase & Co.

Leveraging Job Portals and Job Alerts

For job seekers aiming to tap into the opportunities at JP Morgan Chase, staying updated through job portals and subscribing to job alerts is crucial. These tools can provide timely information about job openings, job fairs, and recruitment events, enabling candidates to apply promptly and prepare adequately for interviews.

Preparing Your Job Application

Your job application, comprising your resume and cover letter, is your ticket to securing an interview at JP Morgan Chase. Highlight your qualifications, skills, and experiences that align with the job listing, ensuring you stand out in the competitive job market.

Acing the Interview

Preparation is key to succeeding in your interview with JP Morgan Chase. Familiarize yourself with the company's business segments, values, and recent achievements. Demonstrating how your background and aspirations match the company's goals can significantly increase your chances of employment. A World of Job Opportunites in the Financial Services Industry JP Morgan Chase & Co. offers a world of job opportunities for those seeking to make their mark in the financial services industry. With competitive salaries, comprehensive benefits, and endless possibilities for growth, positions at JP Morgan Chase are highly coveted. By staying informed through job sites, tailoring your applications, and preparing thoroughly for interviews, you can enhance your prospects of joining the esteemed ranks of JP Morgan Chase employees. Explore the job board, seize the job opportunities, and embark on a rewarding career journey with one of the world's leading financial institutions.
Learn more about JP Morgan Chase & Co.
Size
661 employees
Market Cap
$384.5 billion
Industry
Net Income
$29.1 billion
Founded
1823
5 Year Trend
+0.7%
Revenue
$261.5 million
NASDAQ

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