Sr Data Engineer - Opportunity Analytics Requiring GCP
Sr Data Engineer - Opportunity Analytics Requiring GCP
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$ 92700 - 222480
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:
If you are eager to make a real impact in the health care industry through your own meaningful contributions explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.
At CVS Health we possess an extensive repository of healthcare data that spans over 150 million individuals providing an unparalleled foundation for ambitious Data Engineers. In this role you will engage with complex business challenges harnessing modern tools and technologies to securely store process transform and enrich terabyte to petabyte scale healthcare data. Your work will underpin datadriven business decisions and contribute to our mission of delivering industrybest data products / software with a customerfirst mindset and teamoriented approach.
As a Senior Data Engineer you will be instrumental in designing developing and maintaining optimal data pipelines to assemble large and intricate datasets catering to the business requirements of various CVS lines of business. Collaborating closely with teams you will craft tools to provide actionable insights and integrate them with consumer touchpoints.
In this role you will:
- Work with a team of data engineers that execute defined analytics processes assisting with data ingestion / mapping.
- Work with the team to manage work processes that exist in the GCP environment.
- Design and build data pipelines to move data from onprem systems to the GCP environment and back to onprem systems as needed.
- Manage inplace data pipeline workstreams and jobs.
- Play a major role in the migration of the existing SAS based analysis processes into the GCP environment including all data ingestion mapping processes etc.
As leaders in healthcare our analytics and engineering teams deliver innovative solutions to business problems by collaborating with crossfunctional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex structured and unstructured data that will allow you to grow your technical skills and engineering expertise.
Required Qualifications:
- 3 years of experience with SQL NoSQL
- 3 years of experience with Python (or a comparable scripting language)
- 3 years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components
- 3 years of experience with ETL/ELT and building highvolume data pipelines.
- 3 years of experience with reporting/analytic tools
- 3 years of experience with Query optimization data structures transformation metadata dependency and workload management
- 3 years of experience with Big data and cloud architecture
- 3 years of handson experience building modern data pipelines within a major cloud platform (GCP AWS Azure)
- 3 years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes AKS)
- 3 years of experience with realtime and streaming technology (i.e. Azure Event Hubs Azure Functions Kafka Spark Streaming)
- 1 year(s) of soliciting complex requirements and managing relationships with key stakeholders.
- 1 year(s) of experience independently managing deliverables.
Preferred Qualifications:
- Previous healthcare experience and domain knowledge
- Experience in designing and building data engineering solutions in cloud environments (preferably GCP)
- Google Professional Data Engineer Certification
- Experience with Git CI/CD pipeline and other DevOps principles/best practices
- Understanding of software development methodologies including waterfall and agile.
- Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources.
- Knowledge of API development
- Experience with complex systems and solving challenging analytical problems.
- Strong collaboration and communication skills within and across teams
- Knowledge of data visualization and reporting
- Experience with schema design and dimensional data modeling
- Knowledge of microservices and SOA
- Formal SAFe and/or agile experience.
- Experience designing building and maintaining data processing systems.
- Experience architecting and building data warehouse and data lakes.
Education:
Bachelors Degree or equivalent work experience in Computer Science Information Systems Data Engineering Data Analytics Machine Learning or related field required. Masters Degree preferred.
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$92700.00 $222480.00This 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: 04/14/2025 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
