Data Engineering Jobs

The Data Engineer will design, build and maintain scalable data pipelines and infrastructure to support analytics and business decision-making. They will collaborate with engineering, analytics and business teams to ensure data quality, integration and availability. The role requires strong ETL, data modelling and production deployment skills to support reporting and advanced analytics initiatives.

JPMorgan Chase is hiring a Data Owner Lead to drive data management strategy and governance, ensuring data is fit for purpose, secure, and supports business objectives. You will partner with Business, Technology, Analytics, Operations, and Risk teams to document, classify, and govern critical data, while supporting analytics and data product integration. The role includes managing projects, mitigating data risks across the lifecycle, and leading staff to deliver data solutions. Strong communication, leadership, and expertise in data management principles are required.

Join JPMorgan Chase's Employee Platforms team as a Software Engineer II to drive Databricks adoption and build reliable data pipelines. You will design, develop, and troubleshoot data processing solutions, write production-quality Python code, and implement CI/CD to improve operational stability. The role involves collaborating with internal teams to provide guidance on Databricks best practices and participating in agile team activities to drive continuous improvement.

Lead data strategy, governance, and protection for Banking Payments products, ensuring data is fit for purpose and drives business value. Act as subject-matter expert for product data, document and control critical data, and partner with cross-functional teams to enable analytics and product delivery. Define and oversee data quality, risk mitigation, and compliance with firmwide policies while supporting integration into analytics platforms.

Lead the data ownership for Credit Card Acquisition within Consumer and Community Banking, driving product data strategy, quality, protection, and delivery to support business objectives and analytics. Act as subject matter expert on product data, document critical data elements, define data quality requirements, and mitigate data risks. Partner with Business, Technology, Analytics, Operations, Risk and Control teams to enable data-driven innovation and manage delivery across multiple workstreams and KPIs.

As a Software Engineer III - Data Engineer on the Payments Technology Regulatory Reporting team at JPMorgan Chase in Bengaluru, you will design, develop and maintain data engineering solutions using Python/PySpark and cloud-native technologies (e.g., Databricks, AWS). You will write secure production code, contribute to system design, testing, CI/CD and operational stability, and automate remediation of recurring issues. The role works in an agile team, evaluates vendor and architectural options, and drives adoption of leading-edge technologies across software engineering. Minimum of 3+ years applied software engineering experience is required.

Join JPMorgan Chase as a Software Engineer II on an agile Employee Platforms team to design, build and support secure, scalable data and application components. You will develop and troubleshoot software solutions, focusing on Python and PySpark data processing, SQL optimization, and Databricks/AWS-based pipelines. The role involves working with large, diverse datasets, applying ETL and data modeling best practices, and contributing to automation, resiliency, and security efforts. This is a hands-on position for someone with experience building data pipelines and cloud data services.

Senior data engineer role on JPMorgan Chase's Consumer & Community Banking/Data Products team to design and deliver secure, scalable data products. You'll build and optimize ETL/ELT pipelines using Python/Java, PySpark/distributed processing, DBT, Airflow, and AWS services (Glue, Athena, Lambda). The role requires hands-on experience with data-lake formats (Iceberg/Hudi/Delta), Snowflake, Terraform, version control, and CI/CD practices while working in an agile team environment.

Senior engineering manager role within Consumer and Community Banking Data & Technology at JPMorgan Chase, leading multiple software engineering teams to deliver data products and pipelines. You'll manage day-to-day implementation, set team guidance and best practices, and ensure work meets compliance, SLA and business requirements. The role requires strong hands-on technical knowledge across Python, PySpark, Airflow, DBT, AWS data services (Glue, Athena, Lambda), and infrastructure automation (Terraform). Stakeholder management, building/optimizing ETL/ELT pipelines, and fostering an inclusive team culture are core responsibilities.

JPMorgan Chase is hiring a Software Engineer III to join the Employee Platforms team in Bengaluru to design and deliver secure, scalable technology products. The role focuses on Databricks integration, building and maintaining data pipelines, and writing high-quality Python production code. You will implement and support CI/CD pipelines, troubleshoot software solutions, and collaborate with internal teams to share best practices. The position requires practical experience with system design, application development, operational stability, and agile practices.