Software Engineer III - Data, AWS, ETL, Java/Python,
JPMorgan ChaseWe have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities:
- Design, build, and maintain scalable services (APIs, microservices, batch/stream processing) with strong engineering fundamentals.
- Transform existing ETL logic to AWS, Databricks, or equivalent cloud platforms and experience with data platforms/tools (examples): Kafka, Spark, Flink, Airflow, warehouse/lake (Snowflake).
- Implement new or enhance existing services and components using both object-oriented and functional programming
- Establish and enforce guidelines to ensure consistency, quality, and completeness of data assets
- 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
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- 5+ years of professional software/data engineering experience, including substantial production work with Spark on Databricks.
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Proficiency in Spark fundamentals and experience implementing Spark in data lake or data mesh solutions
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Experience with either AWS, Databricks or Snowflake
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Hands-on practical experience in system design, application development, testing, and operational stability
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Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
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Demonstrable ability to code in one or more languages
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Experience across the whole Software Development Life Cycle
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Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
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Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred qualifications, capabilities, and skills:
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Proficiency in one or more modern programming languages, including Python or Java (only one is required, but both is a major plus)
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Experience in AI is a plus
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Financial Services experience is a plus
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Experience with Infrastructure as Code (Terraform)
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Familiarity with relational and non-relational databases
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Exposure to cloud technologies