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Data Engineer
- Springfield, Missouri, United States
- Springfield, Missouri, United States
Über
Responsibilities
Design and build ETL/ELT data pipelines to ingest, process, and transform datasets from multiple sources.
Implement performance tuning, partitioning, and clustering to optimize data queries.
Follow data quality standards, 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.
Required Qualifications
2+ years of applicable work experience
Proficiency in Python, specifically with ETL pipelines
Strong proficiency in SQL and experience in developing complex queries
Experience deploying data pipelines in a cloud environment (any of Azure, AWS, GCP)
Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists and analysts.
Preferred Qualifications
Experience working with healthcare data, especially Epic.
Experience using GCP's BigQuery
Knowledge of data governance best practices in a cloud environment.
Experience working with Machine Learning processes.
Education College degree or certification in related fields.
Anticipated Weekly Hours 40
Time Type Full time
Pay Range The typical pay range for this role is: $64,890.00 - $173,040.00 This pay range represents the base hourly rate or base annual full‑time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short‑term incentive program in addition to the base pay range listed above.
Benefits We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. 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. Benefits include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Equal Opportunity & Inclusive Hiring Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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Sprachkenntnisse
- English
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