Manager, Data Engineering

Job not on LinkedIn

🕒 5 days ago

🥔 Idaho, New York, +1 more states – Remote

🥔 Idaho – Remote 🗽 New York – Remote 🤠 Texas – Remote

💵 $83.4k - $222.5k / year

⏰ Full Time

🟡 Mid-level

🟠 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

• Oversight and responsibility for designing, building, and maintaining scalable data pipelines and architectures • Partner closely with analytics, data science, product, and business teams to ensure high-quality, well-structured data is available for decision-making and operational needs • Design, build, and maintain scalable data pipelines and ETL/ELT processes • Develop and optimize data models, data warehouses, and data lakes by working with stakeholders • Build, optimize, and deploy forecasting models using time-series modeling, machine learning, and MLOps practices • Apply advanced modeling and statistical analysis to Healthcare Quality metrics spanning NCQA HEDIS measures and CMS Clinical Stars • Integrate data from multiple sources including internal systems, APIs, and third-party vendors • Collaborate with analytics, BI, and data science teams to support reporting and advanced analytics

🎯 Requirements

• 3+ years of experience as a Data Engineer or in a similar data-focused role or equivalent experience • Strong experience with SQL and relational databases • Experience building ETL/ELT pipelines and working with large datasets • Familiarity with data warehousing concepts and dimensional modeling • Proficiency in at least one programming language (Python, Java, or Scala) • Experience with cloud platforms (AWS, Azure, or GCP)

🏖️ Benefits

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