GCP Data Engineer — BigQuery, Airflow, Cloud Run (Hybrid)

Cognizant; Houston (TX); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Health and wellbeing programs

Job summary

Cognizant is seeking a senior GCP Engineer in Houston to design, build, and optimize scalable data pipelines and infrastructure on Google Cloud Platform. You will contribute across BigQuery, Dataflow, Pub/Sub, and Python while mentoring junior engineers.

You will join a Data Engineering team that collaborates with data scientists, analysts, and business stakeholders to deliver robust data solutions and analytics capabilities in a hybrid work model, with four in-office days in Houston, Texas.

Qualifications

• 10+ years of experience in data engineering or related fields, including 5+ years on Google Cloud Platform (GCP).
• Strong BigQuery expertise including optimization, schema design, and partitioning/clustering.
• Hands-on with Cloud Composer / Apache Airflow and Cloud Run; proficient Python and SQL.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines on GCP, integrating Pub/Sub, Cloud Storage, Dataflow, and Cloud Functions.
• Build and orchestrate complex workflows using Cloud Composer (Apache Airflow).
• Develop and deploy containerized microservices and event-driven data processing jobs using Cloud Run.
• Design efficient, high-performance data models and queries in BigQuery with partitioning and cost optimization.
• Collaborate with data scientists, analysts, and business stakeholders to translate data requirements into solutions and mentor engineers.

Skills

GCP

BigQuery

Python

SQL

Data modeling

ETL/ELT design

Apache Airflow

Tools

Cloud Composer

Cloud Run

Terraform

GitHub Actions

Job description

Cognizant is seeking a senior GCP Engineer in Houston to design, build, and optimize scalable data pipelines and infrastructure on Google Cloud Platform. You will contribute across BigQuery, Dataflow, Pub/Sub, and Python while mentoring junior engineers.

You will join a Data Engineering team that collaborates with data scientists, analysts, and business stakeholders to deliver robust data solutions and analytics capabilities in a hybrid work model, with four in-office days in Houston, Texas.