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JPMorgan Software Engineer II - PySpark/AWS/Databricks 
United States, Ohio, Columbus 
152505065

18.09.2025

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

  • Formal training or certification on software engineering concepts and 2+ years applied experience.
  • Experience in data processing frameworks and tools, including Parquet, Iceberg, PySpark, Databricks, Glue, Lambda, EMR, ECS, and Aurora.
  • Advanced knowledge of agile methodologies, including CI/CD, application resiliency, and security practices.
  • Proficiency in programming languages, and experience in Apache Spark for data processing and application development.
  • Experience with scheduling tools like Autosys or Airflow to automate and manage job scheduling for efficient workflow execution.
  • Hands-on experience in system design, application development, testing, and ensuring operational stability.
  • Demonstrated expertise in software applications and technical processes within specialized disciplines such as cloud computing, artificial intelligence and machine learning
  • Proficiency in automation and continuous delivery methods, enhancing efficiency and reliability.
  • In-depth understanding of the financial services industry and its IT systems.
  • Comprehensive understanding of all aspects of the Software Development Life Cycle.

Preferred qualifications, capabilities, and skills

  • Expertise in relational databases such as Oracle or SQL Server.
  • Skilled in writing Oracle SQL queries utilizing DML, DDL, and PL/SQL.
  • Possession of AWS certification, demonstrating cloud expertise.
  • Familiarity with Databricks for advanced data analytics and processing.