Senior Data Engineer - Analytics

Job Description

Job Description

Senior Data Engineer - Analytics

Senior Data Engineer, Analytics

Location: 100% Remote

Position Overview
We are seeking an experienced Analytics Engineer to join our data team and build reliable, scalable analytics infrastructure that turns data into actionable insights. The role is focused 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.

Key Responsibilities

• Design, develop, and maintain robust ELT/ETL data transformation pipelines using dbt Core and SQL targeting BigQuery.
• 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 ensure reliable analytics outputs and 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; implement and consume LLM APIs where applicable.
• Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when appropriate.
• Optimize performance and cost for BigQuery workloads 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.

Qualifications

• 3+ years of experience in analytics engineering, data engineering, or a related role building analytics pipelines and data models.
• 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.

- For this position, you must be currently authorized to work in the United States without the need for 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

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at [email protected] to make arrangements.