Data Engineer

About This Role

This is a contract-to-hire Data Engineer role focused on building and optimizing data pipelines and contributing to platform governance. The ideal candidate enjoys shaping data structure and modeling for business use.

Responsibilities

• Build, maintain, and optimize data pipelines that ingest data from various sources (APIs, operational systems, files, event streams, etc.)
• Design and implement high-quality data transformations aligned to a bronze/silver/gold framework
• Develop and maintain Snowflake-based data solutions, including curated and modeled datasets for business consumption
• Write clean, maintainable Python code for ingestion, transformation, orchestration, and automation tasks
• Implement cloud-based pipeline components using AWS services (e.g., Lambda, S3)
• Partner with analytics and business stakeholders to ensure data is structured and modeled for usability and scalability
• Contribute to platform governance (standards, observability, documentation, access controls) and participate in architecture decisions
• Improve reliability, performance, and cost-efficiency across pipelines and the Snowflake environment

Requirements

• Hands-on experience building pipelines and analytics-ready datasets in Snowflake
• Strong Python scripting skills (production-quality code)
• Experience working with APIs (integration, parsing, error handling, automation)
• Practical experience in AWS, specifically services such as S3 and Lambda
• Experience designing or working within a medallion architecture or a similar curated/layered approach
• Strong data fundamentals (data modeling, transformation patterns, data quality, lineage)

Skills

* Required skills