Data Engineer
Remote · United Kingdom or United States
United Kingdom or United StatesRemoteFull TimeMid LevelNot SpecifiedUnknown
Type
Full Time
Level
Mid Level
Education
Not Specified
Company size
Unknown
Job Summary
Data Engineer to design, build, and monitor scalable, production-grade ETL pipelines using Python, Snowflake SQL, and AWS services (S3, DynamoDB, Batch, Step Functions) for ingesting and transforming large healthcare datasets with a focus on data quality, validation, and monitoring. Collaborate with Operations, Finance, and Analytics to translate business requirements into reliable, scalable data solutions, ensuring pipelines handle 1GB+ data and align with centralized analytics goals.
Required Qualifications
- 4+ years of hands-on experience as a Data Engineer or in a similar role
- Proven expertise in Python, SQL, and Snowflake for data engineering tasks
- Strong experience building and maintaining production-grade ETL pipelines
- Solid understanding of data validation, transformation, and debugging practices
- Prior experience with healthcare or claims datasets is highly preferred
- Practical knowledge of AWS technologies: S3, DynamoDB, Batch, Step Functions
- Experience working with large datasets and complex data environments
- Excellent verbal and written English communication skills
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.