Senior Data Engineer - Analytics role at Everforth CyberCoders, a fully remote position in the United States.

Design, develop, and maintain end-to-end ELT/ETL data transformation pipelines using dbt Core and SQL for BigQuery.
Create modular, tested SQL models and Python-based transformations to support analytics, reporting, and ML feature generation.
Establish data quality checks, lineage, and observability to ensure reliable analytics outputs and adhere to SLAs.
Partner with product, analytics, and ML teams to define metric definitions and translate business requirements into scalable data models.
Build and maintain RESTful APIs and integrations to surface curated datasets and features for internal and external consumers; integrate LLM APIs where applicable.
Deploy and monitor data services and lightweight API endpoints on Google Cloud Platform, using Cloud Run and other serverless options when suitable.
Optimize performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.
Document data models, transformation logic, and operational runbooks; mentor teammates on dbt, SQL, and analytics engineering best practices.

3+ years of experience in analytics engineering, data engineering, or a related role building analytics pipelines and data models.
Expert proficiency in SQL and strong Python experience for data transformation, orchestration, or testing.
Experience working with Healthcare Claims Data.
Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.
Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.
Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs into analytics or product workflows.
Strong understanding of data modeling concepts, ETL/ELT patterns, data quality practices, and observability.
Excellent communication skills and ability to collaborate across cross-functional teams to operationalize analytics.
Nice to have: hands-on experience with Cloud Run, Vertex AI, and FastAPI for serving data or ML features; domain knowledge of healthcare claims and related data models.
U.S. work authorization without the need for visa sponsorship.

Senior Data Engineer - Analytics

Job Description