Senior Data Engineer
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Job Description
Senior Data Engineer building scalable ETL pipelines and BigQuery data warehouses for Price Benowitz LLP, a technology-enabled law firm. Automating cloud data workflows on GCP for analytics, reporting, and operational efficiency.
Responsibilities:
- Design and develop scalable ETL/ELT data pipelines using Python and SQL
- Build and optimize data warehouse solutions in Google BigQuery, including partitioning, clustering, and query tuning
- Develop automated data ingestion and transformation pipelines integrating REST APIs and external data sources
- Design data models supporting analytics, business intelligence, and reporting
- Optimize cloud data workflows for performance, reliability, scalability, and cost efficiency
- Develop and maintain data processing solutions on Google Cloud Platform
- Automate scheduled data pipelines, data refreshes, and reporting processes
- Integrate GCP services including BigQuery, Secret Manager, and Google Workspace APIs
- Implement secure authentication and authorization using service accounts and IAM best practices
- Develop reusable, modular, and maintainable ETL frameworks
- Collaborate with cross-functional teams to deliver reliable and scalable data solutions
- Use Git and GitHub for version control and collaborative development
- Apply Terraform and GitHub Actions to support Infrastructure as Code and CI/CD practices
- Leverage Cloud Run, Cloud Scheduler, Cloud Workflows, Pub/Sub, Cloud Tasks, and Cloud Batch for scalable data architectures
Requirements:
- 5+ years of experience in data engineering, ETL/ELT, and cloud data platforms
- Strong proficiency in Python and SQL
- Hands-on experience developing data pipelines and transformation workflows
- Strong experience with Google BigQuery, including data warehousing, data modeling, partitioning, clustering, and performance optimization
- Hands-on experience with GCP and cloud-native data engineering solutions
- Experience integrating REST APIs and external data sources into data platforms
- Familiarity with Cloud Run, Cloud Scheduler, Cloud Workflows, Pub/Sub, Cloud Tasks, and Cloud Batch
- Experience with Terraform, Git, GitHub, and CI/CD practices, preferably using GitHub Actions
- Understanding of IAM, service accounts, data security, data quality, monitoring, and pipeline reliability
- Strong analytical, problem-solving, communication, and cross-functional collaboration skills
- Strong Professional English proficiency, B2 or higher
- Resume and cover letter must be submitted in English
Benefits:
- Remote work
- Monday through Friday, 9:00 AM–6:00 PM Eastern Time
- Equal opportunity employer
- Inclusive work environment
- Diversity commitment
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