Sr. Data Engineer

*This is a remote job; any applicants based in Latin America are welcome to apply.*
*Please send your resume in English*
Strong Professional English proficiency is required (B2 or higher), as all internal communication, documentation, meetings, and collaboration are conducted in English

About Price Benowitz, LLP

Price Benowitz, LLP is a mid-sized law firm headquartered in Washington, D.C., with offices throughout Washington, D.C., Maryland, Virginia, South Carolina, and Illinois. Guided by our core values of Passion, Integrity, and Excellence, we leverage technology to improve efficiency, enhance client service, and support our continued growth.

Our Technology & Data team plays a critical role in developing innovative solutions that automate business processes across the firm. We are seeking a Sr. Data Engineer to join our growing team.
 

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 to improve performance, reliability, scalability, and cost efficiency.
• Develop and maintain data processing solutions on Google Cloud Platform (GCP).
• 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-native services such as Cloud Run, Cloud Scheduler, Cloud Workflows, Pub/Sub, Cloud Tasks, and Cloud Batch to support scalable data architectures.

Qualifications

• 5+ years of experience in data engineering, ETL/ELT, and cloud data platforms.
• Strong proficiency in Python and SQL, with 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 for scalable and automated cloud-native architectures.
• 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.

Compensation & Hours

• Standard working hours are Monday through Friday, 9:00 AM – 6:00 PM Eastern Time.
• Compensation: $16 to $18 per hour; the rate will be determined by Price Benowitz, LLP based on the candidate’s qualifications, skills, and experience.

Application Process
Interested candidates are invited to submit their résumé in English and a cover letter detailing their relevant experience and interest in the position.

Price Benowitz, LLP is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.