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Senior Data Engineer

at CVS Health

Posted: 10/7/2020
Job Reference #: 73400BR
Keywords: modeling, architect

Job Description

Job Description
Aetna, a CVS Health company, is the nation's premier health innovation company helping people on their path to better health. We are building a new health care model that is easier to use, less expensive, and puts the consumer at the center of their care.
Aetna's Medicare Stars Data Intelligence Team is growing and expanding.

This is exciting opportunity to join a high performing, collaborative team as a Senior Data Engineer. Aetna’s Medicare Data Intelligence team supports the entire Medicare organization by participating in the design, build and management of large-scale data structures and pipelines and efficient Extract/Load/Transform (ETL) workflows. The Data Intelligence team is focused on creating a framework for developing large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs focusing on complex business problems. We use advanced technology and tools, data modeling techniques, and ETL processes to enable data acquisition by leveraging big data within a cutting-edge environment. We’re focused on creating new opportunities that drive change in areas such as Medicare stars, Service Operations, Patient Safety, population health management and member experience.

Fundamental Components
Analyze science, engineering, business and other data processing problems to implement and improve computer systems. Perform advanced SQL and SAS Programming in data warehouse environment including use of different analysis techniques or business intelligence application development. Manage, build, enhance, architect and maintain the Medicare Stars Data Engine. Process large data sets through complex ETL to our Medicare Star Data Engine. Explore, examine, and interpret large volumes of data in various forms. Perform analysis of structured and unstructured data to solve moderately complex business problems. End to end testing of the Medicare Stars data warehouse data and implement appropriate validation controls to control data quality. Develop automated data quality scripts to ensure the data integrity and completeness of the data. Design and conduct analysis and outcome studies using healthcare claims, pharmacy, and lab data, employing appropriate research designs and statistical methods. Develop, validate, and execute algorithms, data models and reporting tools that answer applied research and business questions for internal and external clients. Define and deliver analytical solutions in support of healthcare business initiatives that drive short and long-term objectives.

Applies understanding of key business drivers to accomplish own work. Uses expertise, judgment, and precedents to contribute to the resolution of moderately complex problems. Writes ETL (Extract / Transform / Load) processes, designs database systems and develops tools for real-time and offline analytic processing. Collaborates with client team to transform data and integrate algorithms and models into automated processes. Uses knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries to build data pipelines. Uses programming skills in Python, Visual Studio or any of the major languages to build robust data pipelines and dynamic systems. Builds data marts and data models to support clients and other internal customers. Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.

Background Experience
Strong problem-solving skills and critical thinking ability. Strong collaboration and communication skills within and across teams. 3 or more years of progressively complex related experience. Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources. Ability to understand complex systems and solve challenging analytical problems. Experience with Visual studio, C#, Python, and SQL. In addition, DBMS experience is highly desirable (DB2 or MSSQL) Knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries against data in the HDFS environment. Experience building data transformation and processing solutions. Has strong knowledge of large-scale search applications and building high volume data pipelines. Bachelor's degree or equivalent work experience in Computer Science, HealthCare Informatics, Computer Engineering, Information Systems, Machine Learning, or related discipline.

Bachelor's degree or equivalent experience

Percent of Travel Required
0 - 10%

Business Overview
At Aetna, a CVS Health company, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.

We are committed to maintaining a diverse and inclusive workplace. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, gender, gender identity, age, disability or protected veteran status. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.

Application Instructions

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