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Remote role with common data engineering skills and mid-seniority, producing moderate applicant competition.
Data engineering skills (SQL, AWS, Snowflake, ETL) are broadly transferable across industries.
Explicit 7+ years requirement plus mandatory AWS, Snowflake, ETL, and CI/CD tooling increases filtering strictness.
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Design, develop, and maintain scalable backend data pipelines and ETL solutions using Python, SQL, SAP BODS/Rule Point, AWS, Snowflake, and DBT.
Lead significant software projects, mentor junior engineers, and collaborate with cross-functional teams to translate business requirements into technical tasks.
Implement and support CI/CD pipelines for build, test, and deployment, while troubleshooting data and performance issues in production environments.
Bachelor's degree in a related field or equivalent experience.
7+ years of software development experience focusing on backend or data engineering.
Hands-on experience with SQL (including query optimization), ETL tools (SAP BODS/Rule Point), AWS, Snowflake, and CI/CD tools (GitHub, Jenkins).
Experience working in Agile/Scrum development environments.
Experienced in leading data engineering projects and mentoring junior engineers, indicating senior-level ownership and technical guidance capabilities.
Strong expertise in scalable cloud-based data processing using AWS and Snowflake.
Proficient in building automated CI/CD pipelines and following software development best practices, suitable for fast-paced, cross-functional Agile teams.