Data Engineer - Conversion

Job DescriptionAnalytics & Behavior Change is an innovation engine supporting the entire CVS Health organization (Aetna health care business, retail, and pharmacy services) by embedding deep insights into key decision processes and focusing on our biggest, most complex problems. We partner with business leaders throughout the organization using advanced analytics tools, modeling, and machine learning to generate insights by using data to create meaningful impact. We're focused on creating new opportunities that drive change across the enterprise in areas such as: Customer experience and behavior change Clinical trial recruitment and engagement Digital health Provider efficiency and effectiveness Patient safety Health care cost savings Clinical services/care management Fraud, waste, and abuse detection/preventionWe are inspired to make a difference through data by making health care human-centered and connecting people to the information they need to feel the joy of achieving their best health. Our opportunities in Data Science and Data Engineering are designed to enhance your personal and professional growth and build the skills that lead to success. Analytics & Behavior Change has the feel of a startup within one of the nation's largest companies, and we're looking for people who are motivated by solving tough challenges to join us in transforming health care....one line of code at a time.What you will do:Participate in the design, build and management of large scale data structures and pipelines and efficient Extract/Load/Transform (ETL) workflows that help generate insights and support analytical needs. Develop and implement technical efforts to design, build, and deploy GCP application at the direction of lead architects, including large-scale data processing, computationally intensive statistical modeling and advanced analytics Participates in all aspects of the software development life cycle for GCP solutions, including planning, requirements, development, testing, and quality assurance Uses strong programming skills in Python, Java or any of the major languages to build knowledge in GCP architecture and commands to design and optimize queries to build data pipelines Collaborate with data science teams to transform data and integrate algorithms and models into automated processes Integrate data from a variety of sources, assuring it adheres to data quality and accessibility standards Troubleshoot incidents, identify root cause, fix and document problems, and implement preventive measures Employ exceptional problem-solving skills, with the ability to see and solve issues before they affect business productivityPay RangeThe typical pay range for this role is:Minimum: 60,000Maximum: 128,700Please 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-Meet educational requirements (see education section)-Knowledge in Java, Python, Hive, BigQuery, Pig, MySQL, NoSQL, or similar applications -Experience with bash shell scripts, UNIX utilities, and UNIX Commands.COVID RequirementsCOVID-19 Vaccination RequirementCVS Health requires certain colleagues to be fully vaccinated against COVID-19 (including any booster shots if required), where allowable under the law, unless they are approved for a reasonable accommodation based on disability, medical condition, religious belief, or other legally recognized reasons that prevents them from being vaccinated. You are required to have received at least one COVID-19 shot prior to your first day of employment and to provide proof of your vaccination status or apply for a reasonable accommodation within the first 10 days of your employment. Please note that in some states and roles, you may be required to provide proof of full vaccination or an approved reasonable accommodation before you can begin to actively work.Preferred QualificationsGoogle Cloud Platform (GCP) experience is highly preferred Knowledge in Hadoop and GCP architecture, and experience designing & optimizing queries against data in HDFS or GCP environment Experience building data transformation and processing solutions Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources Knowledge of large-scale search applications and building high volume data pipelines Strong collaboration and communication skills within and across teams Strong problem-solving skills and critical thinking ability Ability to understand complex systems and solve challenging analytical problemsEducationMaster's Degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, Mathematics, Physics, Data Science, EconomicsBusiness OverviewBring your heart to CVS HealthEvery 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.

Created: 2024-11-02