Senior Data Engineer - Analytics

The Senior Data Engineer - Analytics at Everforth leads the design and implementation of data models, transformation pipelines, and APIs to enable dashboards, machine learning features, and self service analytics. This contract role is remote with a base in Charlotte, NC.

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 emphasizes 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.

Responsibilities

• Design, build, and maintain robust ELT and ETL data transformations using dbt Core and SQL for BigQuery.
• Develop modular, tested SQL models and Python-based 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.
• Partner with product, analytics, and ML teams to define metric definitions and translate business requirements into efficient data models.
• Create 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 suitable.
• Improve performance and control costs for BigQuery workloads 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 SQL skills and strong Python experience for data transformation, orchestration, or testing.
• Experience working with Healthcare Claims Data.
• Demonstrated 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 and collaboration skills 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.
• Authorization to work in the United States without visa sponsorship.
• This job was first posted by CyberCoders on 07/14/2026; 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
• RESTful APIs
• LLM APIs

Location

100% Remote

Type

Contract - 3-6 months