Senior Data Engineer - Member Entitlement
Senior Data Engineer - Member Entitlement
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$ 101970 - 203940
1 Vacancy
Job Description
At CVS Health were building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nations leading health solutions company we reach millions of Americans through our local presence digital channels and more than 300000 purposedriven 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 Senior Data Engineer will support CVS Member Entitlement and Engagement Services. You will
Design build and maintain scalable data pipelines using Cloud Dataflow Apache Beam Apache Spark or BigQuery.
Develop ETL/ELT workflows for data ingestion transformation and processing using Cloud Composer (Airflow) TIDAL Dataform or custom scripts.
Optimize BigQuery performance through partitioning clustering and query tuning.
Implement data governance security and compliance best practices within GCP.
Work with Cloud Storage Pub/SubNiFi Cloud SQL and Bigtable for realtime and batch data processing.
Monitor and troubleshoot data pipeline performance failures and cost efficiency.
Collaborate with data scientists analysts and software engineers to support business requirements.
Ensure data quality validation and integrity using appropriate testing frameworks.
Strong expertise in GCP services (BigQuery Dataflow Cloud Storage Pub/Sub Bigtable Firestore etc..
Proficiency in SQL Python and Java for data processing and automation.
Experience with ETL/ELT workflows using Cloud Composer Dataflow or Dataform.
Strong understanding of data modeling warehousing and distributed computing.
Experience with realtime and batch processing architectures.
Knowledge of CI/CD pipelines Git and DevOps best practices.
Understanding of security and compliance standards (IAM encryption GDPR HIPAA etc..
Required Qualifications
5 Years of experience with machine learning pipelines on GCP (Vertex AI AI Platform etc..
Exposure to Kafka NiFi or other streaming technologies.
Experience with containerization and orchestration (Docker Kubernetes GKE).
Preferred Qualifications
GCP certifications (e.g. Professional Data Engineer Associate Cloud Engineer).
Education
Bachelors Degree
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$101970.00 $203940.00This pay range represents the base hourly rate or base annual fulltime 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 shortterm 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.
Nocost 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 anticipate the application window for this opening will close on: 04/30/2025 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal state and local laws.
Required Experience:
Senior IC
Employment Type
Full-Time
