Data Engineer

Position Summary Data Engineer at CVS Pharmacy, Inc. located in Chicago, IL. Responsibilities include developing large‑scale data structures, pipelines, and ETL workflows, collaborating with the Data Science team, testing and maintaining systems, leveraging Hadoop architecture, building robust pipelines in Python or Java, building data marts, integrating data, ensuring data quality, analyzing IT environments, recommending solutions, and experimenting with tools. Responsibilities Develop large‑scale data structures and pipelines to organize, collect, and standardize data to generate insights and address reporting needs. Write ETL processes, design database systems, and develop tools for real‑time and offline analytic processing to improve existing systems and expand capabilities. Collaborate with the Data Science team to transform data and integrate algorithms and models into automated processes. Test and maintain systems and troubleshoot malfunctions. Leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines. Utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems. Build data marts and data models to support Data Science and other internal customers. Integrate data from a variety of sources and ensure adherence to data quality and accessibility standards. Analyze current information technology environments to identify and assess critical capabilities and recommend solutions to complex business problems. Experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case. Qualifications Master’s degree (or foreign equivalent) in Computer Science, Information Management, Analytics, Engineering, or a related field. At least 2 years of experience in the job offered or a related occupation. At least 2 years of experience with each of the following: Unix or Shell scripting; Agile methodologies or SAFe Software Development Principles; Oracle, Teradata, or DB2; JIRA, Rally, or Confluence; domain support for healthcare or retail organization; writing code scripts and deploying to production; relational database concepts; contributing to large‑scale applications development, data science, or data analytics projects; data analytics on large data sets in healthcare, business, or retail sector; Extract/Transform/Load (ETL) processes; designing data models and solutions for analytical and reporting use cases; designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design; healthcare data management processes and techniques, including data standards, interoperability, and proper data privacy. Compensation Pay Range: $113,235.00/year to $158,620.00/year. The base salary will depend on experience, education, geography, and other factors. Eligible for bonus, commission, short‑term incentive, and equity awards. Benefits Full range of medical, dental, vision, 401(k), employee stock purchase, term life insurance, short‑term and long‑term disability, well‑being programs, education assistance, free development courses, store discount, paid time off, holidays, and other resources as per eligibility. Other Telecommuting available. Multiple positions. The position is full‑time and eligible for a comprehensive benefits package that supports physical, emotional, and financial well‑being. This role is open for ongoing applications. Equal Opportunity Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. #J-18808-Ljbffr