Data Engineer

4062 Aetna Resources, LLC

New York, New York, United States

New York, New York, United States

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Position Summary We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Aetna Resources LLC, a CVS Health company, is hiring for the following role in New York, NY: Data Engineer to develop, build and manage large‑scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications. Responsibilities Develop large‑scale data structures and pipelines to organize, collect and standardize data to generate insights and address reporting needs. Write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real‑time and offline analytic processing that 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. Telecommuting is available. Multiple positions are available. Qualifications Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, Management and Systems Database Technologies, or a related field. One (1) year of experience in the job offered or related occupation. One (1) year of experience in each of the following: Analyzing large data sets from multiple data sources. Programming in Java, Python, or R. SAS or SQL programming languages. Cloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP). Web and mobile applications development. Testing, quality assurance, and troubleshooting. Software development for enterprise or web applications.
Compensation Pay Range: $118102.00/year to $173040.00/year. 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. This position also includes an award target in the company’s equity award program. Benefits The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully‑paid term life insurance plan to eligible employees, and short‑term and long‑term disability benefits. CVS Health also offers numerous well‑being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. EEO Statement 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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New York, New York, United States

Sprachkenntnisse

English

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