Data Engineer, CVS Health

CVS Health

Location:
United States, Hartford

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

67980.00 - 135960.00 USD / Year

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Job Description:

The Data Engineer will design, develop, and maintain data ingestion pipelines on Google Cloud Platform (GCP), leveraging tools like BigQuery and Cloud Composer to ensure efficient and scalable data processing workflows. They will routinely engage in automation programming using Python, SQL, or similar languages to streamline workflows and optimize data movement. Additionally, the role involves providing technical customer support, troubleshooting issues, and collaborating with stakeholders to ensure high-quality data delivery and service support.

Job Responsibility:

Design, develop, and maintain data ingestion pipelines on Google Cloud Platform (GCP)
Leverage tools like BigQuery and Cloud Composer to ensure efficient and scalable data processing workflows
Engage in automation programming using Python, SQL, or similar languages to streamline workflows and optimize data movement
Provide technical customer support and troubleshooting issues
Collaborate with stakeholders to ensure high-quality data delivery and service support

Requirements:

1+ years of experience in data engineering, focusing on data ingestion and pipeline development
Proficiency in SQL programming and Python or similar languages
Hands-on experience working on public cloud, ideally GCP, and open to AWS or Azure experience
Proficiency in Microsoft Office tools
Experience connecting to, and consuming data from, mainstream DBMS'
Bachelor's degree in Computer Science, Engineering, Data Science, or related field

Nice to have:

Hands-on experience with GCP tools such as BigQuery and Cloud Composer
Google Certified Professional Data Engineer
Built and consumed APIs
Strong knowledge of ETL/ELT processes and orchestration
Experience with automation frameworks and scripting
Familiar with schema design and warehousing concepts
Proven ability to troubleshoot technical issues and provide customer support

What we offer:

Affordable medical plan options
401(k) plan with matching company contributions
Employee stock purchase plan
Wellness screenings
Tobacco cessation and weight management programs
Confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance
Retiree medical access

Additional Information:

Job Posted:
September 22, 2025

Expiration:
October 10, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Engineer