Senior Data Engineer

Job not on LinkedIn

🕒 2 days ago

🦌 Connecticut – Remote

🦌 Connecticut – Remote

💵 $102k - $203.9k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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CVS Health

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1963

⚕️ Healthcare Insurance

🛒 Retail

🧘 Wellness

Healthcare Insurance • Retail • Wellness

CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.

📋 Description

• Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources • Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs • Establish and enforce 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 • Share best practices and mentor junior data engineers

🎯 Requirements

• 5+ years of applicable work experience • Proficiency in Python, specifically with ETL pipelines • Strong proficiency in SQL and experience in developing complex queries • Familiarity with pySpark, DBT, or other similar frameworks • Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP) • Understanding of data warehousing concepts, dimensional modeling, and building data marts • Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners

🏖️ Benefits

• medical, dental, and vision coverage • paid time off • retirement savings options • wellness programs • other resources, based on eligibility