Senior Data Engineer - Analytics

A contract, fully remote Senior Data Engineer – Analytics will design scalable analytics infrastructure, data models, ETL/ELT pipelines, and APIs to power dashboards, ML features, and downstream systems for a 3-6 month engagement.

Responsibilities

• Design, develop, and maintain scalable ELT/ETL data transformation pipelines using dbt Core and SQL targeting BigQuery.
• Create modular, tested SQL models and Python-based data transformations to support analytics, reporting, and ML feature generation.
• Implement data quality checks, lineage, and observability to ensure reliable analytics outputs and meet SLAs.
• Collaborate with product, analytics, and ML teams to define metric definitions and translate business requirements into performant 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, leveraging Cloud Run and other serverless infrastructure when appropriate.
• Optimize BigQuery performance and cost through partitioning, clustering, and query tuning.
• Document data models, transformation logic, and operational runbooks; mentor teammates on dbt, SQL, and analytics engineering best practices.

Requirements

• Minimum 3 years of experience in analytics engineering, data engineering, or related roles building analytics pipelines and data models.
• Advanced SQL skills and strong Python experience for data transformation, orchestration, or testing.
• Experience working with healthcare claims data.
• Proven dbt Core experience to build modular, tested analytics transformations and manage deployments.
• Solid Google Cloud Platform experience, especially BigQuery, including query optimization and cost management.
• Experience building and integrating APIs; familiarity with LLM APIs and incorporating 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 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.
• Authorized to work in the United States without visa sponsorship.

Technologies

• dbt Core
• SQL
• BigQuery
• Python
• RESTful APIs
• LLM APIs
• Google Cloud Platform (GCP)
• Cloud Run
• Vertex AI
• FastAPI

Everforth CyberCoders is proud to be an Equal Opportunity Employer