Senior Data Engineer

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🔥 0 minutes ago

☕ Washington – Remote

☕ Washington – Remote

💵 $16 - $18 / hour

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Price Benowitz Accident Injury Lawyers, LLP

WebsiteLinkedInAll Job Openings

11 - 50 employees

⚖️ Legal

👥 B2C

📋 Compliance

Legal • B2C • Compliance

Price Benowitz Accident Injury Lawyers, LLP is a law firm providing comprehensive legal services across various practice areas, including personal injury, criminal defense, family law, trusts and estates, and workers’ compensation. With a commitment to client satisfaction, the firm emphasizes attentive service and thorough representation throughout the legal process. Operating in multiple regions, they offer free initial consultations and are available 24/7 to assist clients in stressful and high-stakes situations. Price Benowitz strives to ensure that every client not only achieves a favorable outcome but also has a positive experience throughout their legal journey.

📋 Description

• 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