Data Engineer

Job not on LinkedIn

🔥 14 minutes ago

🥔 Idaho, Montana, +1 more states – Remote

🥔 Idaho – Remote 🦬 Montana – Remote 🤠 Texas – Remote

💵 $64.9k - $173k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 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

• Build, maintain, and improve data pipelines and ETL/ELT processes using Python, contributing to reliability, scalability, and observability. • Write and optimize SQL queries to support data ingestion, transformation, troubleshooting, and validation across the data warehouse. • Contribute to data modeling efforts and help maintain the integrity and structure of datasets within the Snowflake data platform. • Integrate with Kafka-driven event streams to support real-time and near-real-time data ingestion under the guidance of senior engineers. • Write clean, well-tested code; ensure thorough unit and integration test coverage for pipeline components you build.

🎯 Requirements

• 2 years of professional data engineering or software development experience • Strong, demonstrated proficiency in SQL — including writing, optimizing, and troubleshooting complex queries against large datasets. • Experience working with at least one cloud data warehouse or data platform (Snowflake, BigQuery, Amazon Redshift, Azure Synapse Analytics, or Databricks). • Proficiency with Git-based version control, including branching, pull requests, and code review workflows. • Familiarity with CI/CD concepts and participation in automated deployment workflows (GitHub Actions).

🏖️ Benefits

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