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Senior Data Engineer

Roles & Responsibilities

  • Proven expertise with BigQuery, Google Cloud Platform (GCP), and Postgres
  • Strong track record in data engineering within SaaS or product-based environments
  • Excellent problem-solving and communication skills; ability to work independently in a remote, cross-functional setup
  • Comfortable managing part-time, flexible hours aligned to EST

Requirements:

  • Design, build, and optimize scalable data pipelines and integrations
  • Collaborate with client and internal technical teams to support multiple active implementations
  • Manage and maintain data workflows in Google Cloud, Postgres, and BigQuery
  • Ensure data quality, accuracy, scalability, and performance across all systems

Job description


Senior Data Engineer

Duration: Part-Time

Location: Remote – EST

About BigRio

BigRio is a Boston-based technology consulting firm specializing in AI/ML, data engineering, and digital transformation. We partner with leading organizations across industries to deliver scalable, high-impact technology solutions that drive business innovation. Our global team spans the US, India, and beyond, enabling a culture of collaboration, curiosity, and excellence.

About the Role

We're seeking a Senior Data Engineer with deep hands-on experience in Google Cloud, Postgres, and BigQuery to support multiple client implementations. This is a part-time (10–15 hours per week), remote role aligned with Eastern Time Zone (EST) hours.

You'll play a critical role in delivering high-performance data solutions that power an AI-driven SaaS platform transforming the dental insurance industry. With 11 client implementations scheduled this year, this position offers an opportunity to make an immediate impact in a fast-paced, data-centric environment.

Key Responsibilities

  • Design, build, and optimize scalable data pipelines and integrations
  • Collaborate with client and internal technical teams to support multiple active implementations
  • Manage and maintain data workflows in Google Cloud, Postgres, and BigQuery
  • Ensure data quality, accuracy, scalability, and performance across all systems
  • Troubleshoot and fine-tune queries, ETL processes, and data operations for efficiency and reliability

Qualifications

  • Proven expertise with BigQuery, Google Cloud Platform (GCP), and Postgres
  • Strong track record in data engineering within SaaS or product-based environments
  • Excellent problem-solving and communication skills; ability to work independently in a remote, cross-functional setup
  • Comfortable managing part-time, flexible hours aligned to EST

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