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Senior Data Engineer
CVS Health Natick, MA
$92k-121k (estimate)
Full Time | Ancillary Healthcare 1 Month Ago
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CVS Health is Hiring a Senior Data Engineer Near Natick, MA

Job Description
You will • collaborate with business partners to identify opportunities to leverage big data technologies in support of Pharmacy Personalization with a common set of tools and infrastructure to make analytics faster, more insightful, and more efficient• design highly saleable and extensible Big Data platforms which enables collection, storage, modeling, and analysis of massive data sets from numerous channels• define and maintain data architecture, focusing on applying technology to enable business solutions• assess and provide recommendations on business relevance, with appropriate timing and deployment• perform architecture design, data modeling, and implement CVS Big Data platforms and analytic applications• bring a DevOps mindset to enable big data and batch/real-time analytical solutions that leverage emerging technologies• develop prototypes and proof of concepts for the selected solutions, and implement complex big data projects• apply a creative mindset to a focus on collecting, parsing, managing, and automating data feedback loops in support of business innovation.Location: Hybrid in office every Tuesday and Wednesday required, preferably in Woonsocket, RI. Will consider Dallas/Irving, Boston/Wellesley, or Chicago.
Pay Range
The typical pay range for this role is:
Minimum: 90,000
Maximum: 180,000
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 in SQL and Python, with 3 years hands-on coding experience with both• Experience building automated big data pipelines• Experience performing data analysis and data exploration• Experience working in an agile delivery environment• Strong critical thinking, communication, and problem solving skills and a quick learner.• Experience with Snowflake, Databricks or any big data frameworks on Spark• Experience with any cloud-based platforms (i.e. Azure, GCP, AWS)• Experience with RDBMS and NoSQL Databases and hands-on query tuning/optimization.• Experience working in multi-developer environment, using version control (i.e. Git)• Experience with orchestrating pipelines using tools (i.e. Airflow, Azure Data Factory)• Experience with data modeling and system architecture design• Experience partnering cross-functionally with other technical teams (i.e. data ingestion, data science, operational systems) to align priorities and achieve deliverable outcomes• Experience with setting coding standards, performing code reviews, and mentoring junior developers
Preferred Qualifications
• Experience with REST API/Microservice development using Python• Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions Kafka, Spark Streaming)• Experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)• Experience with bash shell scripts, UNIX utilities & UNIX Commands• Ability to understand complex systems and solve challenging analytical problems
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.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Ancillary Healthcare

SALARY

$92k-121k (estimate)

POST DATE

03/24/2023

EXPIRATION DATE

04/23/2023

WEBSITE

cvshealth.com

HEADQUARTERS

WOONSOCKET, RI

SIZE

>50,000

FOUNDED

1963

TYPE

Public

CEO

KAREN S LYNCH

INDUSTRY

Ancillary Healthcare

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CVS Health owns and operates a chain of pharmacies and clinics.

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If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.

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The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Senior Data Engineer jobs

Apply for an entry-level data engineer role and gain experience.

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Earn a bachelor’s degree related to data engineering and begin working on projects.

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Consider pursuing additional professional engineering or big data certifications.

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Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.

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Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.

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Step 3: View the best colleges and universities for Senior Data Engineer.

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