JP Morgan Chase & Co.

ETL Java AI Lead Engineer

JP Morgan Chase & Co.$120K — $145K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Formal training or certification in software engineering with 5+ years of experience.
  • Proficient in AI-assisted software development tools and validation processes.
  • Strong grasp of responsible AI principles in engineering workflows.
  • Over 10 years in software engineering, focusing on data engineering/big data.
  • Hands-on expertise in Java and another data-centric language (e.g., Python).
  • Expertise in designing ETL/ELT pipelines and data integration frameworks.
  • Experience with Apache Spark and performance tuning of distributed processing.

Responsibilities

  • Execute creative software solutions and technical troubleshooting beyond conventional methods.
  • Drive team adoption of AI-assisted engineering practices to enhance code quality and operational outcomes.
  • Apply tools in the Software Development Life Cycle to maximize automation value.
  • Lead the architecture and development of large-scale ETL/ELT data pipelines.
  • Design and implement data lake patterns and governance strategies.
  • Optimize distributed processing workloads with modern file formats.
  • Ensure implementation of engineering best practices in software development.

Benefits

  • Flexible work environment that fosters innovation and creativity.
  • Opportunities for professional growth through training and certifications.
  • Collaboration with cross-functional teams on diverse projects.
  • Access to cutting-edge AI tools and resources.
  • Generous leave policies to promote work-life balance.
Full Job Description
JOB DESCRIPTION
Job responsibilities
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
  • 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
  • Lead architecture and hands-on delivery of large-scale data pipelines (ETL/ELT) covering ingestion, transformation, validation, reconciliation, and publishing across curated layers
  • Design and operationalize data lake patterns, including partitioning strategies, data quality controls, lineage, governance, and reusable datasets/data products
  • Build and optimize distributed processing workloads using Apache Spark and modern storage/file formats (e.g., Parquet, Avro)
  • Drive performance tuning across compute and storage (e.g., Spark tuning: shuffle, joins, caching, skew handling; and warehouse tuning where applicable)
  • Implement engineering best practices: code quality, automated testing, CI/CD, observability (metrics/logs/traces), security-by-design, and operational readiness
  • Build and maintain Java-based services and components that support data workflows (e.g., ingestion services, orchestration helpers, APIs, data access layers)
  • Develop REST APIs and integration components to enable downstream consumption and platform interoperability
  • Apply modern application engineering practices (clean architecture, SOLID principles, test automation, and secure coding practices)
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • 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
  • 10+ years of software engineering experience, with strong depth in data engineering/big data platforms
  • Strong hands-on development experience in Java plus proficiency in at least one data-focused language such as Python
  • Proven experience designing and building robust ETL/ELT pipelines and data integration frameworks
  • Strong experience with Apache Spark and distributed processing concepts (fault tolerance, partitioning, performance tuning)
  • Strong understanding of data storage serialization and formats such as Parquet and Avro
  • Solid knowledge of data lake/lakehouse concepts and patterns (e.g., Medallion architecture), including data quality, metadata, and governance considerations
  • Experience working with cloud data warehouses such as Snowflake (loading/unloading patterns, performance basics) or equivalent
  • Ability to lead technical discussions, communicate clearly to varied stakeholders, and drive delivery in cross-functional environments
Preferred qualifications, capabilities, and skills
  • Experience with orchestration and workflow scheduling tools (e.g., Airflow, Dagster, Control-M, etc.)
  • Exposure to streaming/event-driven processing (e.g., Kafka, Spark Structured Streaming) and incremental processing patterns (CDC, upserts)
  • Experience with table formats / ACID layers (e.g., Delta Lake, Apache Iceberg, Hudi).
  • Strong production operations mindset (on-call practices, SLAs/SLOs, observability, incident response).
  • Experience in regulated environments (risk, audit, compliance, privacy, PII handling).
  • Experience with cost optimization / FinOps practices for data platforms.
  • Experience with working with Agentic AI / Gen AI solutions and capabilities will be an added advantage.

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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