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Strong employer brand, metro location, popular mid-level Data Engineer title, and broad full-stack requirements.
Core data engineering skills (Python, SQL, AWS) are widely transferable across industries.
Explicit 2+ year requirements and multiple mandatory tech stacks increase filtering but role is not highly senior.
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Design, build, and maintain scalable data pipelines and API integrations to handle increasing data volume and complexity.
Collaborate with business teams to understand complex rules and ensure data quality and availability for decision-making.
Develop monitoring, alerting, and CI/CD processes; contribute to front-end development and architectural decisions for data solutions.
Minimum 2 years hands-on experience with Python and advanced SQL query writing/optimization.
Minimum 2 years experience working in AWS environment.
Bachelor's degree or equivalent in Engineering or technical field (e.g. Computer Science, Information Systems).
Work Experience Required: At least 2 years (Python, SQL, AWS)
Experienced in integrating with 3rd party APIs and developing front-end applications using frameworks like React, Angular, or Vue.js.
Proficient in full software development lifecycle practices, including testing, code reviews, and CI/CD tooling (Jenkins, Docker, Git).
Able to translate business requirements into technical implementations and collaborate with UX/UI designers and business customers.