Software Engineer II - Data Engineering

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorganChase within the Consumer and community banking- Data technology you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• [Action Required: Insert 1st bullet according to Years of Experience table]
• Hands-on practical experience in system design, application development, testing, and operational stability
• Design, build, and maintain scalable ETL/ELT pipelines for batch data with ETL tools (e.g. Abinitio) and Libraries (e.g. PySpark).
• Develop data models (dimensional, star/snowflake) and warehouse/lakehouse structures.
• Implement orchestration and scheduling (e.g., Airflow, Prefect) with robust monitoring and alerting.
• Ensure data quality, lineage, and governance using appropriate frameworks and catalog tools.
• Optimize pipeline performance, storage formats (e.g., Parquet, Delta), and query execution.
• Advanced SQL skills (query optimization, window functions, schema design), Python programming, and experience with PySpark for distributed data processing; familiar with data warehousing/lakehouse concepts and columnar formats (Parquet, ORC).
• Proficient in workflow orchestration (Airflow, Prefect, Dagster), cloud platforms (AWS, Azure, or GCP), version control (Git), CI/CD pipelines (GitHub Actions, Azure DevOps), and containerization (Docker).
• Knowledge of data quality and testing practices (Great Expectations, unit/integration tests), with strong problem-solving, communication, and documentation abilities.

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies