Staff Data Engineer – EL Focus, Azure/Snowflake
Life Science Connect
full-time
Posted on:
Location Type: Remote
Location: Pennsylvania • United States
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Job Level
About the role
- Own the design, development, and optimization of scalable data ingestion pipelines using Azure Data Factory (ADF)
- Design robust pipelines for high-volume, complex sources including Salesforce, Google Analytics (GA4), and internal APIs
- Architect efficient loading patterns into Snowflake
- Collaborate with the Analytics Engineering team on Raw Layer schema design
- Design dependency-aware pipeline orchestrations that manage the full data lifecycle
- Define and lead the implementation of CI/CD pipelines for data workflows
Requirements
- 7+ years of professional experience in data engineering with a focus on high-volume production pipelines
- Expert-level proficiency with Azure Data Factory (ADF)
- Strong coding skills in Python and SQL
- Extensive experience loading data into Snowflake
- Understanding of complex SaaS APIs (Salesforce, GA4)
- Ability to deliver clean, reliable raw data for Analytics Engineers
Benefits
- Medical/vision/prescription/dental coverage for you and your family
- 100% company-paid short- and long-term disability insurance
- 100% company-paid life insurance
- 401(k) with dollar-for-dollar company match up to 6%
- 15 vacation days and 6 personal days on day 1
- 13 company-paid holidays
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata ingestion pipelinesAzure Data FactoryPythonSQLSnowflakeCI/CD pipelinesdata workflowsdata lifecyclepipeline orchestration
Soft skills
collaborationleadershipproblem-solvingcommunication