Data Engineer / Senior Data Engineer (GCP, BigQuery)

Location: Remote

About the Role:

Join a cutting-edge team where you’ll design, build, and optimize cloud-based data solutions powering business intelligence and advanced analytics. As a Data Engineer or Senior Data Engineer, you’ll work closely with cross-functional teams to create scalable ETL pipelines, manage BigQuery data warehouses, and enhance BI tools like Looker. If you’re passionate about modern data engineering and thrive in a fast-paced, agile environment, this role is for you!

What You’ll Do:

• Build and maintain scalable ETL pipelines using Google Cloud Platform services such as BigQuery, Pub/Sub, and Dataflow.
• Automate deployment and infrastructure management using Terraform, Helm, and Kubernetes.
• Develop and optimize Looker dashboards, queries, and derived tables for peak performance.
• Monitor and troubleshoot cloud data lake operations and resource usage.
• Design efficient data models to support reporting and analytics needs.
• Collaborate with teams to deliver reliable, high-quality data products.
• Write complex SQL queries and implement robust ETL workflows.
• Senior Engineers will assess technical risks, optimize workflows, and mentor team members.

What We’re Looking For:

Education & Experience:

• Bachelor’s or Master’s degree in Computer Science, MIS, CIS, or a related field (or equivalent professional experience).
• Data Engineer: Minimum 3 years experience with Google BigQuery and cloud data engineering.
• Senior Data Engineer: Additional 5+ years of experience with advanced data warehousing and cloud architecture.

Skills & Knowledge:

• Strong proficiency in SQL, Python, and scripting languages (Bash; Go is a plus).
• Experience with CI/CD pipelines, version control (GitHub, Jenkins), and Infrastructure-as-Code (Terraform).
• Familiarity with GCP services (Pub/Sub, Dataflow, Cloud Functions, IAM).
• Expertise in managing and optimizing Looker environments, including LookML coding.
• Deep understanding of data modeling, ETL best practices, and data lake architecture.
• Excellent problem-solving skills and ability to work in fast-paced, agile teams.

Why Join Us?

• Competitive salary range: $60,000 to $160,000 USD, plus potential bonuses and commissions.
• Comprehensive benefits including medical, dental, and vision coverage.
• Paid holidays, vacation time, and wellness days.
• Birthday bonus day to celebrate you!
• Flexible remote and hybrid work options.
• Opportunities for professional growth and continuous learning.
• Inclusive, supportive workplace culture that values diversity.

How to Apply

If you’re interested in this position, please register on our portal and submit your application through the link below:

👉 Register & Apply at TeezJobs.com