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Upload Your ResumeAbout 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
Python
*
AWS
*
Snowflake
*
S3
*
Lambda
*
* Required skills
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