Software Engineer III - Big Data, AWS, Spark - Data Engineering

Design, develop, and maintain scalable data pipelines and ETL workflows using Big Data technologies including Spark and AWS to support enterprise analytics.

Produce secure, high-quality production code and maintain algorithms ensuring system integration and operational stability.

Utilize AI-assisted software development tools to improve code quality, delivery speed, and productivity, while adhering to secure coding standards and peer reviews.

7+ years of applied software engineering experience with formal training or certification in software engineering concepts.

Hands-on experience with Big Data, Spark, AWS, and SQL including knowledge of cloud platforms and distributed data processing.

Experience in system design, application development, testing, and operational stability within a corporate environment.

Work Experience Required: 7+ years

Experienced in agile software development life cycle with familiarity in CI/CD, application resiliency, and security practices.

Skilled in leveraging enterprise-authorized AI-assisted development tools for coding, testing, and documentation with an understanding of responsible AI use.

Comfortable working within cross-functional agile teams and collaborating across stakeholders to deliver complex technical solutions.