Data Engineer / Sr Data Engineer (GCP, BigQuery)
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.
- Competitive base salary: $60,000 – $160,000 USD, with potential bonus and commission.
- Medical, Dental, and Vision Coverage
- Holiday and Vacation Time
- Health & Wellness Days
- Birthday Bonus Day
- Flexible Remote and Hybrid Work Options
- Opportunities for Professional Growth and Learning
- Inclusive and Supportive Workplace Culture
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
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