Lead Data Engineer: Build Scalable Data Pipelines

JPMorgan Chase

Jersey City (NJ)

On-site

USD 147,000 - 190,000

Full time

14 days+
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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

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.

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