Job description

Assists in the development of large-scale data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs

Applies understanding of key business drivers to accomplish own work

Uses expertise, judgment and precedents to contribute to the resolution of moderately complex problems

Leads portions of initiatives of limited scope, with guidance and direction

Understand ETL (Extract / Transform / Load) processes, relational database systems and tools for real-time and offline analytic processing

Collaborates with client team to categorize data and adhere to data governance policies on PHI/PII and encryption

Some knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries to build data pipelines

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: 70,000
Maximum: 140,000

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
1+ years of progressively complex related experience

Experience with bash shell scripts, UNIX utilities & UNIX Commands, and relational databases

Preferred Qualifications
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

Strong problem-solving skills and critical thinking ability

Strong collaboration and communication skills within and across teams

Knowledge in Java, Python, Hive, MySQL or NoSQL or similar

Knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries against data in the HDFS environment

Knowledge in Cloud architecture, Google cloud, AWS, etc. Familiar with commands and experience designing & optimizing queries against data in the cloud environment

Experience building data transformation and processing solutions

Has strong knowledge of large-scale search applications and building high volume data pipelines

Education
Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline

Master’s degree or PhD preferred

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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