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# Software Engineer II: Data Engineer

- **Company:** JPMorgan Chase & Co.
- **Location:** Jersey City, NJ, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Big Data, Unix, Software Quality, Continuous Integration, Data Files, Extract Transform Load (ETL), Serialization, Data Systems, Data Vault Modeling, Decision Support Systems, Protocol Buffers, JSON, Python (Programming Language), NoSQL, Performance Tuning, Software Engineering, Data Streaming, Systems Architecture, Enterprise Data Management, Parquet, Data Processing, Sql Optimization, Pyspark, Avro, Production Code, Physical Data Models, Data Pipelines
- **Published:** August 9, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/software-engineer-ii-data-engineer-jersey-city-nj-usa-58871594

## About the Role

_ continuous software improvement * Identify data patterns to drive improvements in code hygiene and system architecture * Contribute to software engineering communities of practice and adopt emerging technologies * Update logical/physical data models based on new use cases Tasks * Formal training or certification in Software Engineering plus 2+ years experience * Working understanding of NoSQL databases and advanced SQL * Experience with statistical data analysis to guide tool/pattern choices * ETL process/advanced concepts experience * Hands-on system design, development, testing, and operations * Experience with AWS; building data pipelines using Python and PySpark (Java as alternative) * Performance tuning to avoid bottlenecks * Unix scripting; data serialization formats (JSON, AVRO, Protobuf); big-data formats (Parquet, Iceberg) and data modeling techniques (Dimensional, Data Vault, Kimball, Inmon); Agile, TDD/BDD, CI/CD * Experience with enterprise AI-assisted development tools and
ensuring safe, effective outputs * Understanding of responsible AI use in engineering workflows * Proficiency with data processing methodologies (batch, micro-batching, streaming) Key requirements * comprehensive health care coverage * retirement savings plan * backup childcare * tuition reimbursement * mental health support * financial coaching

## Description

Experteer Overview In this role you will design, build, and operate trusted data pipelines and architectures to enable secure, scalable analytics for Consumer & Community Banking. You will work in an agile team to deliver high-quality data solutions across multiple domains, collaborating with cross-functional partners to advance the firm's strategic data objectives. You will leverage AI-assisted development tools and cutting-edge tech to improve code quality, performance, and data insights, while upholding security and reliability. This is a hands-on role with a strong impact on data-driven decision making and software delivery at scale. Compensation / Benefits * Review controls to protect enterprise data * Design, develop, test, and troubleshoot data pipelines and architectures across domains * Produce secure, production-grade code and maintain data algorithms * Create architecture and design artifacts ensuring constraints are met * Analyze and visualize large, diverse data sets for continuous software improvement * Identify data patterns to drive improvements in code hygiene and system architecture * Contribute to software engineering communities of practice and adopt emerging technologies * Update logical/physical data models based on new use cases Tasks * Formal training or certification in Software Engineering plus 2+ years experience * Working understanding of NoSQL databases and advanced SQL * Experience with statistical data analysis to guide tool/pattern choices * ETL process/advanced concepts experience * Hands-on system design, development, testing, and operations * Experience with AWS; building data pipelines using Python and PySpark (Java as alternative) * Performance tuning to avoid bottlenecks * Unix scripting; data serialization formats (JSON, AVRO, Protobuf); big-data formats (Parquet, Iceberg) and data modeling techniques (Dimensional, Data Vault, Kimball, Inmon); Agile, TDD/BDD, CI/CD * Experience with enterprise AI-assisted development tools and ensuring safe, effective outputs * Understanding of responsible AI use in engineering workflows * Proficiency with data processing methodologies (batch, micro-batching, streaming) Key requirements * comprehensive health care coverage * retirement savings plan * backup childcare * tuition reimbursement * mental health support * financial coaching


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