At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position Summary: Aetna Resources LLC, a CVS Health company, is hiring for the following role in Woonsocket, RI: Data Engineer to assess business needs and develop analytic solutions to meet those needs. Perform analyses of structured and unstructured data to solve business problems, utilizing advanced statistical techniques and mathematical analyses. Build industry-leading analytics, data, and technology platforms, delivering powerful solutions that inform network strategy and design, improve network performance and provider engagement, develop new provider offerings, and enhance consumer experience. Improve on current statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy. Collaborate with data science team to transform data and integrate algorithms and models into highly available, production systems. Collaborate with data science team to transform data and integrate algorithms and models into highly available production systems. Guide the analytic team in the development and ongoing support of historical and monthly data quality processes. Work as a member of the analytics team in the develop of studies pursued to assess data quality gaps and strategy. Provide direction in the development of optimization of systems to achieve efficient and highly reliable processes. Design data marts and data models to support Data Science and other internal customers. Behave as a mentor to junior team members to provide technical advice and support. Design and develop complex and large-scale data structures and pipelines to organize, collect, and standardize data to generate insights and address reporting needs. Conduct assessments and execute action plans to gaps and strategy. Manage multiple significant initiatives and prioritize efforts according to business needs. Write complex ETL (Extract/ Transform/ Load) processes, design database systems and develop tools for the real-time and offline analytic processing. Develop frameworks, standards and reference materials for architecture and associated products. □Design data marts and data models to support Data Science and other internal customer. Act as mentor to junior team members to provide technical advice. Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics. Apply knowledge of Aetna systems and products to consult and advise on additional efforts across multiple domains spanning broader enterprise. Integrate data from a variety of sources, assuring that they adhere to data quality and accessibility standards. Use in-depth knowledge on Hadoop architecture, HDFS commands and experience designing and optimizing queries to build scalable, modular, and efficient data pipelines. Telecommuting available. - Requirements: Master's degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Technology. Business, Information Systems, or a related field and one (1) year of experience in the job offered or related occupation. Requires one (1) year of experience in each of the following: Cl/CD, Jenkins, GIT, and DevOps; Java and Python; Agile methodologies; Web service APls; Oracle; Docker and Kubernetes; JIRA and Confluence; SOL, My SOL and NoSOL; 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; and Designing data models and solutions for analytical and reporting use cases. Pay Range: $73500.00/year to $150000.00/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. In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. 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. For more detailed information on available benefits, please visit https://jobs.cvshealth.com/us/en/benefits This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.