Senior Data Engineer

Avante•Seattle, WA

60d•Hybrid

About The Position

At Avante, we're changing that. We're the first AI-native benefits platform built to turn benefits complexity into clarity. For employees, Avante acts like a personal guide, making benefits simple to understand and use. For leaders, Avante unifies fragmented data and delivers real-time insights so they can improve programs, control costs, and prove ROI. We're based in Seattle and work 4 days a week in the office (one day remote), we're growing quickly, and are looking for a data engineer who can build and maintain the pipelines and infrastructure that power our AI systems and internal analysis. You'll work across the full data lifecycle - from ingestion and transformation to model deployment and monitoring - while using modern AI-assisted development tools to accelerate your work. This is a hands-on role for someone who cares about building reliable, well-documented systems and wants to work at the intersection of data engineering, and applied AI.

Requirements

5+ years experience building scalable data pipelines and warehouses
Extensive experience with SQL based transforms in DBT or similar technologies
Experience operating as a technical lead on a data team
A passion for data quality and careful testing and validation
Fluency in python with an emphasis on readable, maintainable code
Familiarity with Terraform and K8s container orchestration
Ability to communicate technical concepts clearly to diverse audiences, including internal and external stakeholders
Flexibility and willingness to wear many hats and help out wherever it is needed

Nice To Haves

Early stage startup experience
Analysis or analytics engineering experience
Full stack development experience
Hands-on MLOps experience (model training pipelines, deployment, monitoring)
Experience with AI prompt engineering and LLM application development
Experience managing cloud infra such as Kubernetes clusters
Familiarity with clinical and medical insurance claims data

Responsibilities

Own and design DBT models in Snowflake with proper testing and documentation
Build and architect Python data pipelines that are reliable, testable, and observable
Orchestrate workflows using Argo-Workflows running on Kubernetes
Transform raw source data into clean, well-modeled datasets for analysts and AI systems
Manage and improve scalable Azure cloud data infrastructure
Work on RAG pipelines and vector stores for unstructured data sources
Stay current with developments in applied AI and bring relevant innovations to the team
Use tools like Claude Code and Cursor as part of your daily workflow
Help establish team practices for effective human-AI collaboration in engineering
Contribute to adjacent full stack and platform engineering projects