Senior Data Engineer - Analytics

CyberCoders offers a 100% remote Senior Data Engineer - Analytics role based in Bristol, PA, with a competitive salary range of USD 165,000 to 190,000 per year. This position centers on designing data models, building robust ELT/ETL pipelines, and creating APIs that power dashboards, ML features, and downstream systems. You will collaborate with data scientists, analysts, and engineers to standardize metrics and enable self-service analytics across the organization.

Position overview: We are seeking an experienced Analytics Engineer to join the data team and 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 work closely with data scientists, analysts, and engineers to standardize metrics, improve data quality, and enable self-service analytics across the organization.

Responsibilities

• Design and maintain scalable ELT/ETL pipelines using dbt Core and SQL on BigQuery.
• Create modular, thoroughly tested SQL models and Python-based data transformations to support analytics, reporting, and ML feature generation.
• Establish 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.
• Develop 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 GCP, leveraging Cloud Run and other serverless options when appropriate.
• Optimize BigQuery 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 a related role building analytics pipelines and data models.
• Experience working with Healthcare Claims Data.
• Expert proficiency in SQL and strong experience with Python for data transformation, orchestration, or testing.
• 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.
• Authorized to work in the United States without sponsorship for a non-immigrant visa.
• This job was first posted by CyberCoders on 04/30/2026 and applications will be accepted on an ongoing basis until the position is filled or closed. Everforth CyberCoders is proud to be an Equal Opportunity Employer.

Technologies

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