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Sr. Data Engineer

$140.13k - $222.48k

4062 Aetna Resources, LLC

Position Summary Aetna Resources LLC, a CVS Health company, is hiring for the following role in Wellesley, MA: Senior Data Engineer to analyze data engineering problems and develop, build and manage large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications. Telecommuting is available. Multiple positions. 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; and experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case. Requirements Master’s degree (or foreign equivalent) in Computer Science, Information Technology, Electrical Engineering, Business Analytics, or a related field and two (2) years of experience in the role or a related occupation. Also requires two (2) years of experience with each of the following: CI/CD, Jenkins, GIT, or DevOps Traditional relational data warehouse technologies: Oracle, Teradata, or DB2 Docker or Kubernetes JIRA, Rally, or Confluence “Big data” platforms including Azure, GCP, or AWS 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 Developing data and analytics-based platform capabilities, services, or products Healthcare data management processes and techniques, including data standards, interoperability, and proper data privacy Compensation Pay Range: $140,130.00/year to $222,480.00/year. The base salary will depend on experience, education, geography and other factors. Eligible for bonus, commission, short-term incentive, and equity award program. Benefits The company offers a full range of benefits: Medical, dental, and vision coverage 401(k) retirement savings plan Employee Stock Purchase Plan Fully-paid term life insurance, short-term and long-term disability Well-being programs, education assistance, free development courses, store discounts, partner discounts Paid time off (PTO), vacation pay, paid holidays, and sick time consistent with state law EEO Statement Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. #J-18808-Ljbffr

Vacancy posted 3 days ago
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