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Data Engineer (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of . Bloomerang. . We are currently looking for a . Data Engineer. in the . United States. .. As a Data Engineer, you’ll be at the forefront of designing and scaling data systems that support intelligent, AI-powered features across a fast-growing nonprofit platform. You will build high-performance pipelines, integrate data from diverse sources, and collaborate with teams to develop insights that empower organizations to make better decisions and maximize their impact. This is a fully remote opportunity with a mission-driven team focused on innovation, purpose, and continuous learning.. . Accountabilities:. . Design and develop scalable data pipelines using Google BigQuery to unify data across product lines.. . Build comprehensive data models to surface key metrics on nonprofit performance and health.. . Integrate off-the-shelf AI services and large language models to deliver intelligent data features.. . Work closely with cross-functional teams to gather data requirements and support product initiatives.. . Maintain and scale cloud-based data infrastructure (e.g., MySQL, PostgreSQL) and ensure data reliability.. . Implement automated data validation systems to maintain integrity and accuracy.. . Write and maintain technical documentation for data pipelines, architecture, and AI integrations.. . Translate business objectives into data-driven solutions while optimizing cloud resource usage.. . . . 3–5 years of experience in data engineering, with strong expertise in Google BigQuery (Snowflake or Redshift also a plus).. . Advanced SQL proficiency and strong data transformation and analysis skills.. . Hands-on experience with ETL/ELT tools like Fivetran, Stitch, or Airbyte.. . Familiarity with integrating AI platforms such as OpenAI, AWS Bedrock, or Google Vertex AI.. . Proficiency in Python or similar languages for data manipulation and AI integrations.. . Solid grasp of data modeling, pipeline architecture, and API integrations.. . Strong cloud knowledge (ideally Google Cloud Platform) and familiarity with CI/CD practices.. . Excellent analytical, communication, and problem-solving skills.. . Prior experience in a SaaS environment and/or with AI/ML initiatives is preferred.. . Company Location: United States.