Senior Data Engineer - Analytics

Contract role (3-6 months), 100% remote. Senior Data Engineer, Analytics responsible for building scalable analytics infrastructure, data models, transformation pipelines, and APIs to power dashboards, ML features, and downstream systems.

Responsibilities

• Design, build, and maintain scalable ELT/ETL pipelines for analytics using dbt Core and SQL targeting BigQuery.
• Develop modular, tested SQL models and Python 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 efficient data models.
• Build and maintain RESTful APIs and integrations to surface curated datasets and features for internal and external consumers; incorporate LLM APIs where applicable.
• Deploy and monitor data services and lightweight API endpoints on GCP, using Cloud Run and other serverless options when suitable.
• Optimize BigQuery workloads for performance and cost through partitioning, clustering, and query tuning.
• Document data models, transformation logic, and runbooks; mentor teammates on dbt, SQL, and analytics engineering best practices.

Requirements

• 3+ years of experience in analytics engineering, data engineering, or related roles 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 track record 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.
• Authorized to work in the United States without sponsorship for a non-immigrant visa.
• This posting was first listed by CyberCoders on 06/10/2026; applications accepted on an ongoing basis until the position is filled or closed.

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

This contract posting was first posted by CyberCoders on 06/10/2026; applications will be accepted on an ongoing basis until the position is filled or closed.