Senior Data Engineer - Analytics

Everforth is seeking an experienced Analytics Engineer to design and implement data models, transformation pipelines, and APIs that power dashboards, machine learning features, and downstream systems. The role involves collaborating with data scientists, analysts, and engineers to standardize metrics, improve data quality, and enable self-service analytics across the organization. This position is based in Bristol, PA, with remote work options available.

Responsibilities

• Architect and sustain robust ELT/ETL pipelines using dbt Core and SQL for BigQuery.
• Create modular, tested SQL models and Python data transformations to support analytics, reporting, and ML feature generation.
• Implement data quality controls, lineage, and observability to ensure dependable 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; integrate LLM APIs where applicable.
• Deploy and monitor data services and lightweight API endpoints on Google Cloud Platform, leveraging Cloud Run and other serverless options as appropriate.
• Optimize BigQuery workloads for performance and cost via partitioning, clustering, and query tuning.
• Document data models, transformation logic, and runbooks; mentor teammates on dbt, SQL, and analytics engineering best practices.

Requirements

• Minimum three years of experience in analytics engineering, data engineering, or related roles building analytics pipelines and data models.
• Experience working with healthcare claims data.
• Advanced SQL skills and solid Python experience for data transformation, orchestration, or testing.
• Proven track record using dbt Core to build modular, tested analytics transformations and manage deployments.
• Strong Google Cloud Platform experience with 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.
• 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.
• Desirable: 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.

Technologies

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

Work Authorization

United States work authorization without visa sponsorship is required for this role. This position was first posted on 07/08/2026, and applications will be accepted on an ongoing basis until the role is filled or closed.