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Mid-level Data Engineer, metro locations, popular title and broad AWS/Snowflake stack increases competition.
Data platform skills are broadly transferable, with moderate bias toward insurance/regulated experience.
Explicit 4+ years plus mandated AWS/Snowflake/Terraform/Airflow and SQL/Python implies high strictness.
Build and maintain scalable and reliable AWS-based data platforms and pipelines powering analytics and data products.
Manage data infrastructure components using Terraform and integrate telemetry and observability for platform reliability.
Develop and maintain ELT/ETL workflows with Airflow, dbt, and Airbyte; implement data quality checks and support data governance and cost-optimization.
4+ years of experience in Data Platform Engineering.
Hands-on proficiency in AWS core services such as S3, IAM, compute services.
Strong skills in SQL and Python for data transformation and pipeline development.
Experience with Snowflake or similar cloud data warehouses; working knowledge of Airflow and dbt.
Experienced in building end-to-end cloud data platforms with focus on reliability, observability, and infrastructure-as-code (Terraform).
Comfortable working in agile, cross-functional teams alongside senior engineers and data scientists.
Knowledge or exposure to MLOps, CI/CD practices for data pipelines, and regulated industries like insurance/financial services is advantageous.