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Mid-level metro Data Engineer role with common skillset and known global employer increases candidate competition.
Core data engineering skills (AWS, Snowflake, Python) are highly transferable across industries.
Multiple explicit requirements—5-8 years, Snowflake, AWS, Python, CI/CD, and onsite—raise selection strictness.
Design, develop, and maintain scalable data pipelines on AWS using S3, Glue, Lambda, Redshift, and EMR.
Build and optimize data warehousing solutions with Snowflake including performance tuning and data modeling.
Collaborate with cross-functional teams to understand data requirements and ensure pipeline reliability, quality, and security.
5-8 years of experience in data engineering or related roles.
Strong hands-on experience with AWS cloud services and Snowflake architecture/performance tuning.
Advanced proficiency in Python and SQL; knowledge of graph and vector database technologies required.
Must work onsite five days a week; Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Experienced data engineer with proven ability to deliver scalable cloud-native data pipelines using AWS services and Snowflake.
Experienced in Agile environments using Azure DevOps boards and CI/CD pipelines (GitHub Actions).
Comfortable working in onsite role collaborating across teams, with strong analytic problem-solving focused on efficient data solutions.