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A global technology company seeks a GCP Data Engineer to design and implement scalable data solutions on Google Cloud Platform. The role involves building data pipelines, managing orchestration workflows, and collaborating with teams to ensure high-performance data solutions. The position offers annual salaries between $100,000 and $117,000 along with comprehensive benefits including health insurance and a 401(k) plan.
As a GCP Data Engineer, you will make an impact by designing and implementing scalable data pipelines and orchestration workflows on Google Cloud Platform (GCP). You will be a valued member of the Data Engineering team and work collaboratively with cloud architects, DevOps engineers, and business stakeholders to deliver high-performance data solutions.
Build and maintain streaming and batch data pipelines using GCP services such as Dataflow, Pub/Sub, and Cloud Storage
Develop and manage workflow orchestration using Apache Airflow and Cloud Composer
Design and optimize relational databases, particularly Cloud SQL and PostgreSQL
Collaborate with DevOps teams to implement CI/CD pipelines and containerized deployments using Docker and Kubernetes
Apply data modeling best practices to support analytics and business intelligence initiatives
We strive to provide flexibility wherever possible. Based on this roles business requirements, this is a remote position open to qualified applicants in The United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project youbre engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
Proven experience as a Data Engineer with a focus on Google Cloud Platform
Hands-on expertise with GCP services: Dataflow, Pub/Sub, Cloud Storage, Cloud Composer
Strong proficiency in workflow orchestration using Apache Airflow
Experience with relational databases such as Cloud SQL or PostgreSQL
Solid understanding of ETL processes, data modeling, and pipeline architecture
Familiarity with DevOps practices, CI/CD pipelines, and containerization using Docker and Kubernetes
Experience working in agile environments and cross-functional teams
GCP certifications (e.g., Professional Data Engineer or Cloud Architect)
Knowledge of data governance and security best practices in cloud environments
Salary: The annual salary for this position is between $100,000 and $117,000, depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.