Everforth is seeking an experienced analytics engineer for a 100% remote contract role aligned with the Charlotte, North Carolina area. The position centers on designing data models, ELT and ETL pipelines, and APIs to power dashboards, machine learning features, and self-service analytics.
Position Overview
The Analytics Engineer will design and implement robust data models, transformation pipelines, and APIs to power dashboards, ML features, and downstream systems. The role emphasizes collaboration with data scientists, analysts, and engineers to standardize metrics, improve data quality, and enable self-service analytics across the organization.
Responsibilities
- Develop robust ELT and ETL pipelines using dbt Core and SQL, targeting BigQuery for reliable data transformations.
- Author modular SQL models and Python-based transformations to support analytics, reporting, and ML feature generation.
- Implement data quality checks, 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 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 options when appropriate.
- Optimize BigQuery performance and cost through partitioning, clustering, and query tuning.
- Document data models, transformation logic, and operational runbooks; mentor teammates on best practices for dbt, SQL, and analytics engineering.
Requirements
- 3+ years of experience in analytics engineering, data engineering, or related roles focused on building analytics pipelines and data models.
- Expert proficiency in SQL and strong Python skills for data transformation, orchestration, or testing.
- Experience working with Healthcare Claims Data.
- Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.
- Solid experience with Google Cloud Platform, particularly 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 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 data models.
- Eligible to work in the United States without visa sponsorship.
Technologies
- dbt Core
- SQL
- Python
- BigQuery
- Google Cloud Platform (GCP)
- Cloud Run
- Vertex AI
- FastAPI
- RESTful APIs
- LLM APIs
Location
Location: 100% Remote
Type
Contract length: 3 to 6 months
Additional Information
Everforth and its CyberCoders partner are Equal Opportunity Employers. This remote role requires eligibility to work in the United States without sponsorship.
