Top Remote Analytics Engineer Jobs

Own and improve the dbt transformation layer, semantic layer, data observability, and pipeline orchestration while migrating the platform to AWS. Ensure data quality and governance to support clinical AI, collaborate with clinical, operations, and finance stakeholders, and audit, document, and fix existing data pipelines.

The Senior Power Systems Engineer will lead a team focusing on power systems modeling and analytics, mentor engineers, manage projects, and create various transmission and distribution system models and analyses.

Build and maintain electricity cost modeling REST APIs and DBT data pipelines, translate SME requirements into designs, participate in technical reviews, improve engineering processes, and collaborate across remote squads to deliver energy analytics and battery performance simulations.

Build and maintain electricity cost modeling REST APIs and DBT-driven data pipelines. Translate SME requirements into engineering designs, participate in design reviews, improve engineering practices, and deliver scalable analytics and battery performance simulations to inform DER ROI.

Provide senior-level data engineering for analytics: resolve complex technical issues, build decision-support reports and dashboards, lead projects, prepare and integrate data, coach staff, and ensure high-quality analytics to support academic, research, and healthcare goals.

The role involves designing and maintaining data models and pipelines, collaborating with teams to drive insights, and building dashboards for analytics and reporting.

Build end-to-end data and analytics features: ingest and model data, build transformations and pipelines, create client-facing dashboards and interfaces, and develop LLM-powered workflows to accelerate analysis and app development. Partner with stakeholders, perform exploratory analyses, and ensure data quality, observability, and maintainability while influencing data engineering strategy.

Develop scalable data solutions and algorithms, mentor junior engineers, and enhance data models for business needs in a collaborative environment.