Design and build ETL/ELT data pipelines to ingest, process, and transform datasets from multiple sources
Implement best practices for performance tuning, partitioning, and clustering to optimize data queries
Follow data quality standards, data governance frameworks, and security policies for data storage and access
Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements
Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models
Create comprehensive documentation for data pipelines, workflows, and processes

Requirements

2+ years of applicable work experience
Proficiency in Python, specifically with ETL pipelines
Strong proficiency in SQL and experience in developing complex queries
Experience deploying data pipelines in a cloud environment (any of Azure, AWS, GCP)
Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists and analysts
Experience working with healthcare data, especially Epic (preferred)
Experience using GCP’s BigQuery (preferred)
Knowledge of data governance best practices in a cloud environment (preferred)
Experience working with Machine Learning processes (preferred)

Benefits

Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs
Confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance
Retiree medical access
Many other benefits depending on eligibility

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

ETLELTPythonSQLdata modelingdata transformationperformance tuningdata governancemachine learningdata quality

communicationinterpersonal skillscollaboration