Manager, Data Integration

Remote Full-time
At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary

The Finance Reporting team is working on accelerating the growth of our business by implementing new opportunities and solutions.

This position requires an individual who is highly motivated and a self-starter, has r strong analytical skills and independent thinking.

Key Responsibilities
• Develop, optimize, and maintain SQL queries, stored procedures, and ETL process.
• Build and manage SSIS packages for data integration and transformation.
• Write clean, efficient Python scripts for data processing , reporting, and automation.
• Design, integrate and test APIs to ensure system reliability.
• Develop and maintain automated testing scripts for web-based applications.
• Collaborate with cross-functional teams to gather requirements, troubleshoot issues, and deliver solutions on time.

Required Qualifications
• Strong proficiency in SQL and relational database concepts.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying and managing APIs.
• Familiarity with data exchange formats like JSON and XML.
• Solid Python programming skills for automation and data manipulation.
• Familiarity with web application testing tools.
• Understanding of ETL best practices and data quality assurance.
• Experience developing and troubleshooting SSIS packages.
• Strong problem-solving mindset with a keen attention to details.
• Adaptability in fast-changing environment.

Preferred Qualifications
• Knowledge of best practices for designing well-structured, scalable APIs.
• Experience with MongoDB

Education

Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field. *preferred

Additional certifications in SQL, Python, or cloud technologies are a plus.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The Typical Pay Range For This Role Is

$66,330.00 - $145,860.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great Benefits For Great People

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 09/02/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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