Lead Data Engineer

JPMorgan Chase; Jersey City (NJ); On-site; USD 147,000 - 190,000; Full time

Job summary

JPMorganChase in Jersey City, NJ is hiring a Lead Data Engineer to join the Corporate Sector. You will build and optimize data pipelines and analytics capabilities, while ensuring security, scalability, and reliability across the data platform.

You will collaborate with analysts, data scientists, and application teams to turn requirements into robust designs, mentor junior engineers, and advance the team’s technical direction through standards and reviews.

Qualifications

• Formal training or certification on data engineering concepts.
• 5+ years applied data engineering experience in a fast-paced environment.
• Strong software engineering fundamentals and end-to-end development lifecycle.

Responsibilities

• Delivers data collection, storage, access, and analytics data platform solutions.
• Build and optimize batch and streaming data pipelines with performance and observability.
• Develop and operate workflow orchestration (e.g., Apache Airflow).
• Model and transform data for analytics using SQL for BI/reporting workloads.
• Write production-grade Python/PySpark code with testing and maintainable design.
• Collaborate with analysts and data scientists to translate requirements into designs.
• Own critical data systems, improving reliability, security, and scalability.
• Mentor junior engineers and influence technical direction.

Skills

Python/PySpark

SQL

Data modeling

Cloud data platforms

Agile delivery

Mentoring

Education

Data engineering training/certification

Tools

Airflow

PySpark

Job description

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

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

Base Pay/Salary

Jersey City,NJ $147,250.00 - $190,000.00 / year