Senior Data Platform Engineer - Pipelines, Airflow & AI

Aumni; Jersey City (NJ); In loco; USD 140.000 - 190.000; Tempo pieno

Descrizione del lavoro

JPMorganChase in New Jersey seeks an experienced Lead Data Engineer to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, scalable way. You will maintain critical pipelines and architectures across multiple business functions, mentoring juniors and influencing technical direction.

The role emphasizes production-grade PySpark/Python, Airflow orchestration, and strong SQL modeling to support BI workloads, with a focus on reliability, security, and

Competenze

• Formal training or certification on data engineering concepts and 5+ years applied experience.
• Hands-on coding as a data engineer in an agile, fast-paced environment.
• Strong fundamentals in system design, data structures, testing, and lifecycle.
• Experience modeling data (conceptual/logical/physical) with dimensional and normalized approaches.
• Experience building/operating cloud data platforms (AWS/GCP/Azure).
• Experience with large-scale distributed processing and SQL-based transformations.

Mansioni

• 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 and observability.
• Develop and operate Airflow workflows to schedule, monitor, and manage data movement and transformations.
• Model and transform data for analytics using SQL to support BI and reporting workloads.
• Write production-grade Python/PySpark code with testing and maintainable design.
• Collaborate with analysts and data scientists to translate requirements into 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 and reviews.
• Use enterprise AI capabilities to accelerate design analysis and document outputs with proper data handling.
• Apply reuse-first, AI-assisted practices ensuring traceability and security alignment.

Conoscenze

Data engineering

Python

PySpark

SQL

Airflow

DM/ETL design

Formazione

Bachelor's degree in Computer Science or equivalent

Strumenti

Airflow

Descrizione del lavoro

JPMorganChase in New Jersey seeks an experienced Lead Data Engineer to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, scalable way. You will maintain critical pipelines and architectures across multiple business functions, mentoring juniors and influencing technical direction.

The role emphasizes production-grade PySpark/Python, Airflow orchestration, and strong SQL modeling to support BI workloads, with a focus on reliability, security, and