DevOps Engineer (GCP)
Role summary
Seeking a Sr. Data Engineer for an onsite, 12+ month contract role in Dallas, TX. The position focuses on designing, building, and optimizing scalable data pipelines and models using Databricks, PySpark, and SQL. Responsibilities include data integration, transformation, orchestration with Airflow and CI/CD pipelines (GitHub Actions), infrastructure management with Terraform, and supporting DevOps tasks like deployments and monitoring. The role requires a strong emphasis on data quality, observability, governance, reliability, performance, and cost optimization within cloud environments, collaborating closely with cross-functional teams.
Role: Sr. Data Engineer Location: Dallas, TX (Onsite role) Duration: 12+ Months only w2 What you'll do: Design and build scalable data pipelines and models using Databricks, PySpark, and SQL . Integrate and transform data from multiple sources with strong quality, observability, and governance . Orchestrate and automate workflows using Airflow and CI/CD pipelines in GitHub Actions. Develop and maintain infrastructure using Terraform and support DevOps tasks such as deployments, monitoring, and environment management. Optimize pipelines for reliability, performance, and cost across cloud environments. Collaborate with Product, Data Science, and Engineering teams to deliver reliable, scalable, and efficient data solutions.
For applications and inquiries, contact: hirings@openkyber.com
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