Senior Data Engineer - Analytics

Everforth is looking for a Senior Data Engineer - Analytics to join its data team on a 100% remote contract engagement (3-6 months). The role centers on designing scalable data models, building robust ELT/ETL pipelines, and delivering APIs that power dashboards, ML features, and self-service analytics across the organization.

Responsibilities

• Design, build, and maintain scalable ELT/ETL pipelines that transform data with dbt Core and SQL for BigQuery.
• Create modular, tested SQL models and Python-based transformations to support analytics, reporting, and ML feature generation.
• Implement data quality checks, lineage, and observability to guarantee reliable analytics outputs and adherence to SLAs.
• Collaborate with product, analytics, and ML teams to define metric definitions and translate business requirements into efficient data models.
• Develop 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 Google Cloud Platform, leveraging Cloud Run and other serverless options when suitable.
• Fine-tune BigQuery performance and cost through partitioning, clustering, and query optimization.
• Document data models, transformation logic, and runbooks; mentor teammates on dbt, SQL, and analytics engineering best practices.

Requirements

• Minimum of three years of experience in analytics engineering, data engineering, or a related role building analytics pipelines and data models.
• Advanced SQL skills and solid Python experience for transformations, orchestration, or testing.
• Experience working with healthcare claims data.
• Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.
• Strong Google Cloud Platform experience, 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.
• Solid 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.
• Posting originated with CyberCoders on 07/14/2026; applications accepted on an ongoing basis until the position is filled or closed.
• Note: Everforth is committed to equal opportunity employment.

Technologies

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

Location

100% Remote

Type

Contract - 3-6 months

Position overview

We are seeking an experienced Analytics Engineer to help build reliable, scalable analytics infrastructure that turns data into actionable insights. The role focuses on designing and implementing data models, transformation pipelines, and APIs that power dashboards, ML features, and downstream systems. You will collaborate with data scientists, analysts, and engineers to standardize metrics, improve data quality, and enable self-service analytics across the organization.