Lead Data Engineer (Google Cloud Platform & BigQuery) || Remote (USA) || W2 Contract Only
Posted Today by 1766648692
Negotiable
Outside
Remote
USA
Summary: The Lead Data Engineer role focuses on leveraging expertise in Google Cloud Platform and BigQuery to design and manage scalable data pipelines. The position requires hands-on experience in Python and involves providing technical leadership while coordinating with offshore teams. The ideal candidate will ensure production readiness and optimize workflows for data solutions. This is a remote position based in the USA, offered on a W2 contract basis.
Key Responsibilities:
- Design, build, and optimize data pipelines using BigQuery
- Develop and maintain Python-based orchestration frameworks with logging, retries, and error handling
- Implement scalable and secure workflows on Google Cloud Platform
- Ensure production readiness, monitoring, performance tuning, and data quality
- Manage source control, code reviews, and CI/CD deployments
- Lead technical coordination with onshore stakeholders and guide offshore teams
- Follow best practices for security, access control, and operational monitoring
Key Skills:
- Strong expertise in BigQuery SQL and scripting (procedures, dynamic SQL, performance tuning)
- Advanced Python experience for orchestration and workflow management
- Experience with Git and CI/CD pipelines
- Hands-on experience with Google Cloud Platform services, including:
- Cloud Composer / Airflow
- Cloud Run
- Pub/Sub
- Google Cloud Storage (GCS)
- IAM
- Logging and Monitoring
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Role: Lead Data Engineer (Google Cloud Platform & BigQuery)
Location: Remote (USA)
Job Type: W2 Contract
Experience: 10+ Years
Job Description:
We are seeking a hands-on Lead Data Engineer with strong expertise in Google Cloud Platform, BigQuery, and Python to design, build, and manage scalable data pipelines and orchestration workflows. The ideal candidate will be responsible for building production-ready data solutions and providing technical leadership, including coordination with offshore teams.
Responsibilities:
- Design, build, and optimize data pipelines using BigQuery
- Develop and maintain Python-based orchestration frameworks with logging, retries, and error handling
- Implement scalable and secure workflows on Google Cloud Platform
- Ensure production readiness, monitoring, performance tuning, and data quality
- Manage source control, code reviews, and CI/CD deployments
- Lead technical coordination with onshore stakeholders and guide offshore teams
- Follow best practices for security, access control, and operational monitoring
Required Skills:
- Strong expertise in BigQuery SQL and scripting (procedures, dynamic SQL, performance tuning)
- Advanced Python experience for orchestration and workflow management
- Experience with Git and CI/CD pipelines
- Hands-on experience with Google Cloud Platform services, including:
- Cloud Composer / Airflow
- Cloud Run
- Pub/Sub
- Google Cloud Storage (GCS)
- IAM
- Logging and Monitoring
Good to Have:
- Metadata or configuration-driven design (YAML, config tables)
- Experience with Teradata SQL and migration to BigQuery
- Data validation, reconciliation, and data quality frameworks
How to Apply: Interested candidates can share their updated resumes at
V2 Innovations Inc is an Equal Opportunity Employer and welcomes applicants from all backgrounds. We provide equal employment opportunities to all employees and applicants and comply with all EEO and affirmative action guidelines, embracing diversity, inclusion, and fairness in our hiring process. Diversity fuels innovation. Inclusion powers success.