As a vital core member of an agile team, your innovative spirit and unparalleled knowledge is a catalyst for change and serves as an inspiration for bringing innovative solutions to life. Your visionary leadership and pursuit of excellence makes a lasting impact on the firm and industry.As a Principal Data Engineer at JPMorganChase within the [insert LOB or sub LOB], you provide expertise and data engineering excellence as an integral part of an agile team to enhance, build, and deliver data collection, storage, access, and analytic solutions 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 data pipelines and data architectures to support one or more of the firm’s portfolios.Job responsibilitiesProactively partners with the principle architect to transform design intent into a practical delivery roadmap, ensuring short, critical deliverables are met in a scalable, strategic program.Designs, builds, and optimizes complex data
warehouse solutions, ensuring scalability, reliability, and performance through hands-on engineering and advanced technical expertiseDevelops and implements robust data pipelines and ETL processes, directly contributing to the team’s delivery of secure and stable data architecturesApplies advanced data modeling techniques, including linear algebra, statistics, and geometrical algorithms to solve real world business challenges and drive actionable insightsCollaborates closely with cross-functional teams to integrate data solutions into business-critical applications, actively participating in code reviews and architectural decisionsEvaluates and selects data visualization tools, and creates impactful visualizations to communicate key trends and insights to stakeholdersProvides technical mentorship to junior engineers, sharing best practices and fostering a culture of continuous learning through hands-on guidanceChampions the firm’s culture of diversity, opportunity, inclusion, and respect, modeling these values in daily interactions and project workRequired qualifications, capabilities, and skillsMinimum 8 years of hands-on experience in data engineering, designing, building, and delivering large-scale data
warehouse solutions in enterprise environmentsExperience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplinesProven track record of leading end-to-end delivery of data pipelines, ETL processes, and data architecture projects, directly contributing to successful outcomesExperience leading a product as a Principle Engineer or Technical Delivery LeadAbility to present and effectively communicate technical concepts, project progress, and solution impacts to Senior Leaders and ExecutivesDemonstrated experience in the domain of emerging technologies and their best practices, with a focus on practical implementation and integrationShows a proficient understanding of existing data management systems and continuous learning to understand new data management systemsStrong proficiency in hands-on development using industry-standard tools and languages (e.g., SQL, Python, Spark, cloud platforms), with a commitment to code quality and delivery excellencePreferred qualifications, capabilities, and skillsHands-on experience with Databricks for scalable data engineering, analytics, and collaborative development, as well as proficiency in managing large datasets using Apache Iceberg for efficient, reliable table management and data lake optimizationExperience architecting and implementing enterprise-scale data
warehouses on cloud platforms (e.g., AWS, Azure, GCP), including migration from legacy systemsAdvanced proficiency in designing and optimizing data models for analytics, reporting, and business intelligence use casesDemonstrated ability to automate data pipeline deployment and monitoring using CI/CD tools and infrastructure-as-code practicesHands-on expertise with distributed data processing frameworks (e.g., Apache Spark, Hadoop) and real-time data streaming technologies (e.g., Kafka, Kinesis, Spark)Track record of collaborating with cross-functional teams (engineering, analytics, business stakeholders) to deliver impactful data solutionsExperience evaluating, selecting, and integrating emerging data technologies and tools to improve scalability, security, and performancePublished contributions to open-source projects, technical blogs, or industry forums related to data engineeringAdvanced degree in Computer Science, Engineering, Mathematics, or a related fieldRecognized for mentoring and developing technical talent, fostering a culture of innovation and continuous improvementJ.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.
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.Full timePosting Date: 2026-08-06
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