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Data Engineer / Sr Data Engineer (GCP, BigQuery) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Data Engineer / Senior Data Engineer (GCP, BigQuery). in the . United States. .. This role offers the opportunity to design, build, and optimize cloud-based data solutions that power business intelligence and advanced analytics. The Data Engineer will collaborate closely with cross-functional teams to implement scalable ETL pipelines, manage cloud-based data warehouses, and enhance BI tools like Looker. Candidates will operate in a fast-paced, agile environment, leveraging GCP services, SQL, Python, and automation tools to ensure high-quality, reliable data products. This position is ideal for professionals who are passionate about modern data engineering, solving complex performance challenges, and supporting data-driven decision-making at scale.. . Accountabilities. The Data Engineer / Senior Data Engineer will:. . Design, build, and maintain scalable ETL pipelines using GCP services such as BigQuery, Pub/Sub, and Dataflow.. . Automate deployment and configuration using Terraform, Helm, and Kubernetes.. . Develop and optimize Looker dashboards, queries, and derived tables to ensure performance and reliability.. . Monitor, troubleshoot, and optimize data lake operations and cloud resources.. . Build efficient data models to support reporting and analytics needs.. . Collaborate with cross-functional teams to deliver high-quality, reliable data products.. . Write complex SQL queries and implement robust ETL processes for large datasets.. . . Senior-level team members additionally:. assess technical risks and opportunities, optimize complex SQL and ETL workflows, enhance data lake operations, and guide best practices for team processes and documentation.. . . Candidates should possess:. . . Data Engineer:. 3+ years of experience with Google BigQuery and cloud-based data engineering.. . . Senior Data Engineer:. 5+ additional years of experience with BigQuery and advanced data warehousing concepts.. . Proficiency in SQL, Python, and scripting languages (Bash; Go is a plus).. . Experience with CI/CD pipelines, version control systems (GitHub, Jenkins), and Infrastructure-as-Code (Terraform).. . Familiarity with cloud-native services: GCP, Pub/Sub, Dataflow, Cloud Functions, IAM.. . Experience managing and optimizing Looker environments, including dashboards, metrics, and LookML code.. . Knowledge of data modeling, ETL best practices, and data lake architecture.. . Ability to work cross-functionally in a fast-paced, agile environment.. . Strong analytical, problem-solving, and detail-oriented skills.. . Bachelor’s or Master’s degree in Computer Science, MIS, CIS, or equivalent experience.. . Military experience and military spouses are encouraged to apply.. . . Company Location: United States.