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About the role

As a **Data Engineer – Google Cloud Platform (GCP)** , you will make an impact by designing and implementing scalable data pipelines and solutions that power analytics and data-driven decision-making. You will be a valued member of the **Data Engineering** team and work collaboratively with **cloud architects, data scientists, and cross-functional stakeholders** to deliver high-quality data infrastructure.

In this role, you will:

+ Design, build, and maintain scalable and efficient ETL/ELT pipelines using GCP services such as Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer.

+ Develop and orchestrate data workflows using Apache Airflow to support batch and streaming data processes.

+ Collaborate with data scientists and analysts to build data marts and models that support advanced analytics and machine learning use cases.

+ Optimize SQL queries and manage relational databases (preferably PostgreSQL) to ensure high performance and reliability.

+ Apply DevOps practices including CI/CD and containerization (Docker, Kubernetes) to streamline deployment and operations.

Work model:

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring **2–3 days a week** in a client or Cognizant office in **Irving, TX** . Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

What you need to have to be considered

+ Proven hands-on experience with GCP services: Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer.

+ Strong expertise in Apache Airflow for workflow orchestration.

+ Proficiency in SQL and experience with relational databases (PostgreSQL preferred).

+ Solid understanding of data modeling, ETL processes, and both streaming and batch data pipelines.

+ Familiarity with DevOps practices, CI/CD pipelines, and containerization technologies like Docker and Kubernetes.

These will help you stand out

+ GCP certification (e.g., Professional Data Engineer or Cloud Architect).

+ Experience working in agile environments and collaborating with cross-functional teams.

+ Knowledge of data governance, security, and compliance best practices in cloud environments.

+ Exposure to machine learning workflows and integration with data pipelines.

+ Strong problem-solving skills and a passion for continuous learning.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Salary and Other Compensation:

Applications will be accepted until October 17, 2025

The annual salary for this position is between $ 100,000 - $ 130,000 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.

**Benefits:** Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

+ 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.

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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.