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 Team is growing and expanding! This is exciting opportunity to join a high performing, collaborative team as a Lead Data Engineer. This individual will focus on evolving the Stars Data Engine to a new Ecosystem that allows for expanding our data ingestion footprint while increasing data security, reducing data replication and becoming a more real-time solution related to the data outputs. This position will manage and be responsible for the successful delivery of large-scale data structures and Pipelines and efficient Extract/Load/Transform (ETL) workflows. Acts as the data engineering team lead for large and complex projects involving multiple resources and tasks, providing individual mentoring in support of company objectives. This individual will need to apply Rapid Application Development and Lean techniques in order to direct work assignments and provide mentoring to junior staff to successfully direct the improvements to the Data Engine Framework to support the constituent needs of the various Medicare Business units. The individual will help manage the evolution to a self-organizing, cross functional team structure that leverages iterative Delivery Processes with a focus on continuous delivery of valuable software. This is a telework arrangement and we will consider any individuals eligible for work in the US.
This position will be focused on supporting our on-going collaboration with CVS Health Clinical Trials Services team by leveraging health insurance claims data and data from various Immunization Information Systems (IIS) to assess COVID-19 vaccine safety and effectiveness. The IIS collect vaccination information from physicians and mass vaccination sites for selected vaccines administered within their jurisdiction. In turn, the engineering team develops and implement the Data integration the various IIS to assimilate the Vaccine data. At this junction, the Stars team has implemented data connects with 50% of these authorities.
Fundamental Components:
– Analyze science, engineering, business and other data processing problems to implement and improve computer systems.
– Perform advanced SQL 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, C#, SSIS or any of the major languages to build robust data pipelines and dynamic systems.
– Prior experience leading Cloud technologies including: GCP, Azure and Azure Data Factory
– 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.
Pay Range
The typical pay range for this role is:
Minimum: 115,000
Maximum: 230,000
Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls. The actual salary offer will take into account a wide range of factors, including location.
Required Qualifications
-Strong collaboration and communication skills within and across teams.
-Ability to communicate technical ideas and results to non-technical clients in written and verbal form.
-Proven ability to create innovative solutions to highly complex technical problems.
-Ability to leverage multiple tools and programming languages to analyze and manipulate large data sets from disparate data sources.
-Ability to understand and build complex systems and solve challenging analytical problems.
-Advanced knowledge in SQL Server and/or DB2, SSIS, Microsoft .Net Framework, ASP, C#, Visual Studio, SAS, & SQL or similar.
-knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries against data in the HDFS environment.
-Experience building and implementing data transformation and processing solutions.
-Has in-depth knowledge of large-scale search applications and building high volume data pipelines.
-Multiple years of progressively complex related experience.
Preferred Qualifications
ou should:
• Have a passion to help transform health care
• Have strong Interest in Health Care
• Be able to work in a fast-paced environment and meet tight deadlines
• Possess strong analytical and problem resolution skills
• Be able to communicate effectively with a diverse audience
• Encourage teamwork and a positive environment to improve team effectiveness
• Be resourceful and can quickly and successfully adapt to change
• Have an interest in obtaining full-time position within CVS Health
• Prior Database modeling experience preferred
Education
Bachelor’s degree or equivalent work experience in Computer Science, HealthCare Informatics, Computer Engineering, Information Systems, Machine Learning, or related discipline.
Business Overview
Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. 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. 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.
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