Senior Data Engineer - Python, PySpark, SQL

Data Engineer III-Python/PySpark/SQL

Team: Cash Management
Location: [Insert Location]
Level: 602

About the Team

Our Cash Management team ensures the bank has the right money in the right place at the right time. We leverage advanced algorithms to predict cash flows and proactively move funds, optimizing liquidity and supporting critical business operations.

Role Overview

We are seeking a skilled Data Engineer to join our dynamic team. You will be responsible for designing, building, and maintaining robust data pipelines that power our predictive algorithms and business insights. Your work will directly impact the bank’s ability to manage cash efficiently and make data-driven decisions.

Key Responsibilities

• End-to-End Data Pipeline Development:
  • Design, implement, and maintain scalable data pipelines for collecting, transforming, and delivering data across systems.
  • Ensure data quality, reliability, and timeliness throughout the pipeline.
• Data Integration & Movement:
  • Develop solutions for moving data between internal and external systems securely and efficiently.
  • Work with structured and unstructured data sources.
• Analytical Insights:
  • Analyze large datasets to extract actionable insights and present findings in a business-friendly format.
  • Collaborate with data scientists and business stakeholders to identify opportunities for impactful analysis.
• Algorithm Support:
  • Provide clean, well-structured data to support predictive models and algorithms for cash forecasting and fund movement.
• Collaboration & Communication:
  • Work closely with product, engineering, and business teams to understand requirements and deliver solutions.
  • Document processes and share knowledge with team members.

Required Qualifications

• Proven experience in designing and building data pipelines (ETL/ELT) using modern technologies (e.g., Python, SQL, Spark, Airflow, etc.).
• Strong analytical skills with the ability to interpret complex data and deliver business value.
• Experience integrating data from multiple sources and systems.
• Familiarity with cloud data platforms (e.g., AWS, Azure, GCP) and big data technologies.
• Ability to work independently and collaboratively in a fast-paced environment.
• Excellent communication and documentation skills.

Preferred Qualifications

• Awareness or experience with financial concepts, especially in banking or cash management.
• Experience supporting predictive analytics or machine learning workflows.
• Knowledge of data governance, security, and compliance in financial services.

Why Join Us?

• Be part of a high-impact team driving the bank’s liquidity and cash management strategy.
• Work on challenging problems with direct business outcomes.

Collaborate with talented professionals in a supportive and innovative environment.

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 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.

Experience Level

Senior Level