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Data EngineerCVS Health • Denver, Colorado, United States
Postuler Maintenant
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Data Engineer

CVS Health
  • US
    Denver, Colorado, United States
  • US
    Denver, Colorado, United States
Postuler Maintenant

À propos

Position Summary
Managing and designing ETL system to ingest and transform data for purposes of analysis and reporting; ensures monitoring, alerting, and high availability of the system to all data consumers both internal and external.
Write Airflow DAGs to execute tasks and collaborate with other engineers on solutions to deploy and update machine learning models.
Use sound agile development practices (version control, testing, code reviewing, etc.) to develop and deliver data products.
Manage process and strategy for 3rd party data ingestion and export.
Help drive optimization, testing, and tooling to improve data quality.
Translate business needs into data requirements, with attention to detail.
Analyze, tune, troubleshoot and support the data infrastructure ensuring the performance, integrity, and security of data.
Collaborate with other engineers to build and evolve data models in various components of the data stack.
Implement data validation methods and data analysis tools.
Required Qualifications
2+ years of applicable work experience.
Strong Python skills.
Proficient in at least one of the SQL dialects (Redshift, PostgreSQL, etc.).
Confidence and excitement around designing and improving ETL systems with associated methodology and approach required; experience building ETL systems a plus.
Independent self-starter.
Knowledgeable about data modeling, data access, and data storage techniques.
Understands the value of partnership within teams.
Experience supporting business intelligence/analytics platform.
Experience in data modeling, data governance and data discovery tools.
Interest in taking on learning and leadership opportunities that will arise.
Preferred Qualifications
Experience with programmatic workflow systems (Airflow, Luigi, etc.).
Experience owning the design of ETL systems to generate dynamic workflows.
Experience with cloud computing services (AWS, Azure, GCP, etc.).
Education
Bachelors of Science in Engineering or Computer Science or a related field or equivalent work experience.
Anticipated Weekly Hours: 40
Time Type: Full time
Pay Range: $64,890.00 - $173,040.00
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
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  • Denver, Colorado, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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