Software Development Engineer - GCP Data Engineer

CVSPharmacy

Richardson, TX

Full Time

Mid Level

72k-144k

8 days ago

Job Description

About the Role

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. We are seeking a highly skilled and motivated Google Cloud Platform (GCP) Data Engineer to join our dynamic and growing team. In this role, you will be responsible for designing, building, and maintaining scalable and secure data pipelines and systems on GCP. Your work will ensure that data flows efficiently from diverse sources to analytics platforms and reporting tools, empowering data-driven decision-making across the organization.

Key Responsibilities

Design, build, and maintain scalable and secure data pipelines and systems on GCP.
Ensure data flows efficiently from diverse sources to analytics platforms and reporting tools.
Support data-driven decision-making across the organization by maintaining data infrastructure.

Requirements

Experience in designing and building data engineering solutions in GCP cloud environments.
3+ years of hands-on experience with Google Cloud Platform services like BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
3+ years of experience building modern data pipelines with GCP platform.
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 SQL and NoSQL databases.
3+ years of data engineering experience focusing on microservices-based data solutions.
3+ years of experience with containerization (Docker, Kubernetes) and CI/CD for data pipelines.
3+ years of experience with Python or a comparable scripting language.
3+ years of experience with Big Data and cloud architecture.
3+ years of experience with deployment and scaling of applications in containerized environments (Kubernetes).
3+ years of experience with real-time and streaming technologies such as Kafka and Spark Streaming.

Nice to Have

Experience with Git, CI/CD pipelines, and DevOps principles.
Experience with bash shell scripts, UNIX utilities, and UNIX commands.
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate 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.
Google Professional Data Engineer Certification.
Knowledge of microservices architecture.
Previous healthcare experience and domain knowledge.
Experience designing, building, and maintaining data processing systems.
Experience architecting and building data warehouses and data lakes.

Qualifications

Bachelor's degree or equivalent work experience.

Benefits & Perks

Affordable medical plan options.
A 401(k) plan including matching company contributions.
An employee stock purchase plan.
No-cost programs including wellness screenings, tobacco cessation, weight management, confidential counseling, and financial coaching.
Paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access, and other benefits depending on eligibility.

Working at CVSPharmacy

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.

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