Senior Manager - Data Engineering

$118,450 - $236,900/Yr

CVS Health - Richardson, TX

Full-time - Senior

Richardson, TX

Health and Personal Care Retailers

About the position

As a Senior Manager - Data Engineering at CVS Health, you will play a crucial role in designing, developing, and maintaining data pipelines that cater to the business needs of various CVS lines of business. This position involves collaborating with cross-functional teams to provide actionable insights and integrate them with consumer touchpoints, ensuring that data solutions are aligned with overall business goals.

Responsibilities

• Analyze current information technology environments to identify and assess critical capabilities and recommend solutions.
• Provide technical leadership and mentorship to a team of data engineers.
• Collaborate with cross-functional teams to align analytical initiatives with overall business goals.
• Analyze complex data structures from disparate data sources and design large scale data engineering pipelines.
• Develop large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs.
• Implement data ingestion pipeline using APIs, third party tools, or create custom codes to ingest high volume data into Cloud environment.
• Write processes, design database systems and develop tools for real-time and offline analytic processing.
• Collaborate with product business and data engineering/science teams to collect user stories, translate into technical specifications, and implement data transformation, algorithms and models into automated processes.
• Use strong programming skills in PySpark/Python/ or any of the major languages to build robust data pipelines and dynamic systems.
• Build highly scalable and extensible data marts and data models to support external and internal customers on Cloud.

Requirements

• 7+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components.
• 7+ Years of experience in Data Engineering, Analytics Systems.
• 7+ years of experience with ETL/ELT, and building high-volume data pipelines.
• 5+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management.
• 3+ years of experience with Big data and cloud architecture.
• 4+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure).
• 5+ years of soliciting complex requirements and managing relationships with key stakeholders.
• 5+ years of experience independently managing deliverables.
• 5+ years of progressively complex related experience in cloud data engineering and data analysis.

Nice-to-haves

• Sound knowledge in any of cloud Technology is must preferably Google cloud Platform (GCP).
• Proficiency in developing Complex Data Pipelines, ETLs and Workflows on Cloud Platform optimized for High Volume of Health Care data.
• Proficiency in using Cloud Platforms such as GCP/Azure/AWS. Knowledge of tools like Composer, PySpark and SQL.
• Proficiency with CI/CD tooling like Jenkins, GitHub to enable robust development pipelines for data and ML.
• Strong knowledge of large-scale search applications and building high volume data pipelines, preferably using PySpark on GCP and It's native tools such as BigQuery, Airflow, Composer, DataProc, PUB/SUB and DataFlow.
• Strong Foundational Knowledge in Agile Methodologies.
• Outstanding written and verbal communication skills for both technical and non-technical audiences at all levels of the organization.
• Experience with Healthcare domain is highly desirable.
• Understanding of AI/ML technology Stack.
• Sound experience in Google Cloud Data Services: Big Query, Data Proc, PubSub, Cloud Functions, Cloud Storage, Dataflow, Composer, Kafka, Vertex AI.

Benefits

• Full range of medical, dental, and vision benefits.
• 401(k) retirement savings plan.
• Employee Stock Purchase Plan.
• Fully-paid term life insurance plan.
• Short-term and long-term disability benefits.
• Well-being programs.
• Education assistance and free development courses.
• CVS store discount and discount programs with participating partners.
• Paid Time Off (PTO) or vacation pay, as well as paid holidays throughout the calendar year.