-Design, develop, and maintain infrastructure as code using Terraform, CloudFormation, and AWS CDK.
-Implement and manage ETL processes using tools such as Apache Airflow or Dagster.
-Develop and optimize data warehouses, particularly with Snowflake.
-Write efficient and maintainable code in Python.
-Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
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3-5 years of experience as a Data Engineer.
Proven experience with cloud platforms, preferably AWS (S3, Glue, Athena, Redshift, Lambda, etc.).
Familiarity with infrastructure as code: CloudFormation, Terraform, or AWS CDK (bonus).
Experience with data orchestration and workflow management tools (e.g., Airflow, Prefect, Step Functions).
Proficient in version control (Git), CI/CD practices, and containerization (Docker).
Solid backend programming experience, ideally in Python.
Experience leading or mentoring junior engineers or technical project teams.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.