Real job — pulled straight from JPMorgan Chase’s careers page · Verified August 12, 2026 · No reposts.
Job description
JPMorgan Chase is hiring a Lead Data Engineer — a full-time, based in Jersey City, NJ role. Apply directly on JPMorgan Chase's careers page below.
Lead Data Engineer
Location: Jersey City, NJ, United States
Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.
As a Lead Data Engineer at JPMorganChase within the Corporate Sector, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability
Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations
Model and transform data for analytics using SQL to support business intelligence and reporting workloads
Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented design
Collaborate with analysts, data scientists, and application teams to turn requirements into technical designs and delivered solutions
Own critical data systems by improving reliability, scalability, security, and operational excellence
Mentor junior engineers and influence the team’s technical direction through standards, reviews, and knowledge sharing
Uses enterprise-authorized AI capabilities within the work environment to accelerate data platform and model design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements
Applies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations
Required qualifications, capabilities, and skills
Formal training or certification on data engineering concepts and 5+ years applied experience
Demonstrated experience delivering in an agile, fast-paced engineering environment. Hands-on professional experience actively coding as a data engineer
Strong software engineering fundamentals (system design, data structures, object-oriented programming, testing strategies, and end-to-end development lifecycle)
- Strong understanding of creating and maintaining data models (conceptual, logical, and physical), including dimensional and normalized modeling approaches
Hands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure)
Experience with large-scale distributed data processing and performance tuning
Hands-on experience with modern data warehousing/lakehouse technologies. Strong SQL skills and experience with SQL-based transformation tooling
Experience designing and operating orchestration pipelines using Airflow or similar tools
Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity
Ability to review and validate AI-assisted outputs (e.g., model/design summaries or operational checklists) before use, escalating when uncertain and following data handling requirements
About Us
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
About the Organization
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.We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.Get Data Engineer jobs like this→
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Frequently asked questions
What skills are required for Lead Data Engineer at JPMorgan Chase?
The required skills for Lead Data Engineer at JPMorgan Chase include: Data Engineering, Airflow, Python, Spark, SQL, AWS, GCP, Azure, Data Warehousing, Machine Learning.
What is the seniority level for Lead Data Engineer at JPMorgan Chase?
Lead Data Engineer at JPMorgan Chase is a Lead / Senior level position.
How do I apply for Lead Data Engineer at JPMorgan Chase?
You can view the full description and apply for Lead Data Engineer at JPMorgan Chase on EchoJobs: https://echojobs.io/job/jpmorgan-chase-lead-data-engineer-cfku4.