Senior Data Engineer - Analytics
Job Description
Everforth CyberCoders is seeking a Senior Analytics Engineer to help design and scale analytics infrastructure that fuels dashboards, machine learning features, and downstream systems. This role partners with data scientists, analysts, and engineers to standardize metrics and empower self-service analytics across the organization, blending strong data modeling with reliable data delivery in a cloud-first environment.
Location
Bristol, Pennsylvania with remote work options; 100% remote work is available for this role.
Responsibilities
- Design, develop, and maintain robust ELT/ETL data transformation pipelines using dbt Core and SQL targeting BigQuery to ensure reliable data delivery for analytics and reporting.
- Author 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 guarantee dependable analytics outputs and meet 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; leverage LLM APIs where applicable.
- Deploy and monitor data services and lightweight API endpoints on GCP, using 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 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.
- U.S. work authorization without visa sponsorship is required.
Technologies
- dbt Core
- SQL
- Python
- BigQuery
- Google Cloud Platform
- Cloud Run
- Vertex AI
- FastAPI
- LLM APIs
Similar Jobs
