Software Engineer II - Cloud Data Engineer

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 JPMorgan Chase within the Corporate 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, equity, inclusion, and respect

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Over 4 years of practical experience with Spark, SQL, Databricks, and the AWS cloud ecosystem.
• Expertise in Apache NiFi, Lakehouse/Delta Lake architectures, system design, application development, testing, and ensuring operational stability.
• Strong programming skills in PySpark and SparkSQL.
• Proficient in orchestration using Airflow.
• In-depth knowledge of Big Data and data warehousing concepts.
• Experience with CI/CD processes.
• Solid understanding of agile methodologies, including DevOps practices, application resiliency, and security measures.
• Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

• Familiarity with Snowflake, Terraform, and LLM.
• Exposure to cloud technologies such as AWS Glue, S3, SQS, SNS, Lambda, etc.
• AWS certifications such as SAA, Associate Developer, Data Analytics Specialty, or Databricks certification