Data Engineer / Senior Data Engineer
ArcadiaFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Required qualifications include 5+ years of advanced to expert level SQL in systems like SAP HANA, Google BigQuery, or Teradata; 3+ years with orchestration tools such as Airflow, Spark, or Kubernetes; 3+ years analyzing large datasets in finance or insurance; 3+ years with Python or similar in data engineering; and 1+ year with serverless architecture.
This information is not specified in the job description.
This information is not specified in the job description.
The culture emphasizes building strong relationships with business partners, promoting trust and collaboration, and working with dedicated colleagues passionate about transforming health care in a connected, convenient, and compassionate way.
A strong candidate will have the required 5+ years SQL experience, 3+ years in orchestration like Airflow and Python data engineering, plus preferred skills like Kimball/Inmon modeling, agile experience, cloud platforms, and exceptional communication to influence at all levels.
Comprehensive pharmacy and healthcare services
CVS Health operates a large network of retail pharmacies and walk-in medical clinics across the United States, providing a variety of health-related products and services. Their offerings include prescription medications, over-the-counter health products, and beauty items, as well as pharmacy benefits management and specialty pharmacy services. CVS Health's integrated business model allows them to serve individual consumers, businesses, and communities effectively, with a focus on improving health outcomes and reducing healthcare costs. Unlike many competitors, CVS Health combines pharmacy services with medical care, making it easier for patients to access quality healthcare. The company's goal is to enhance access to healthcare and support individuals in achieving better health.