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Mid-level metro Data Engineer title but specialized Snowflake/Palantir requirements moderate applicant density.
Specialized Snowflake, Palantir Foundry, OT integration, and regulated-environment experience limits cross-industry transferability.
Explicit 5-7 years plus mandatory Snowflake, Foundry, Terraform, and AWS skills increases strictness.
Develop and maintain backend Python services and business logic with robust error-handling and retry mechanisms.
Design and implement data pipelines using SQL/Snowflake features such as MERGE, CDC streaming, and Snowpipe ingestion integrated with AWS and Palantir Foundry workflows.
Own end-to-end data request platforms including GUI development, multi-stage approval workflows, role-based access control, and compliance-focused deployment management.
5-7 years of professional experience.
Strong proficiency in Python for backend development and REST API handling.
Expertise with SQL and Snowflake, including advanced features such as secure views, data sharing, stream ingestion, and performance tuning.
Experience with Terraform for IaC, AWS services (Lambda, S3, Glue, IAM), and Palantir Foundry platform development.
Experienced in managing enterprise data provisioning and data virtualization platforms with integration across Snowflake, AWS, and Palantir Foundry.
Skilled in designing and orchestrating multi-stage approval workflows with RBAC in regulated or compliance-driven environments.
Comfortable with infrastructure automation, CI workflows, and implementing governance models for secure data access and controlled release management.