The Role
As a Data Engineer, you'll develop DBT models in Snowflake, build Python data pipelines, and manage Azure cloud infrastructure while collaborating on AI and MLOps projects.
Summary Generated by Built In
Ask any employee to explain their benefits, and you'll likely get a confused shrug. Ask any HR leader if their benefits investment is working, and you'll get an honest "I don't know." For employees, benefits are confusing and overwhelming. For HR and finance leaders, benefits are the second-largest expense, but they lack the visibility to know what's working and what's wasted.
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, MLOps, and applied AI.
What You'll Do:
- Develop and maintain DBT models in Snowflake with proper testing and documentation
- Design and build 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 ML systems
- Manage and improve Azure cloud infrastructure using terraform
- Work on RAG pipelines and vector stores for AI agents
- 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
What We're Looking For:
- 3+ years experience building production DBT or other SQL based transforms with testing, documentation, and CI/CD
- Experience working with python with an emphasis on readable, maintainable code
- Familiarity with Kubernetes and container orchestration
- Ability to communicate technical concepts clearly to diverse audiences
- Flexibility and willingness to wear many hats and help out wherever it is needed
Nice to Have:
- 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
Our Tech Stack:
- DBT for transformation workflows and data modeling
- Snowflake for data warehousing
- Python for data loading, tokenization, and manipulation (Pandas, Polars) and integration with our AI platform
- Data orchestration using Argo-Workflow DAGs
- Azure cloud infrastructure with Kubernetes
Our Company Values:
- Beat Yesterday – Continuous improvement, innovation, and growth
- Embrace Type 2 Fun – Resilience and positivity in the face of challenges
- Act Like an Owner – Initiative, accountability, and focus on outcomes
- Stay Hungry, Stay Curious – Humility, curiosity, and bold thinking
Interview Process:
1. Initial screen with our recruiters
2. Phone screen with our head of engineering
3. On-Site Interview Loop
1. Technical interview focused on real-world problem solving (no whiteboard algorithms!)
2. Behavioral interview to explore your approach to teamwork and challenges
3. 1:1 with our PM
4. Final loop with our Head of Engineering
4. Final conversation with our CEO
If you're excited about solving complex data challenges in the benefits space while making a meaningful impact on businesses and their employees, we'd love to hear from you!
Top Skills
Argo-Workflows
Azure
Dbt
Kubernetes
Python
Snowflake
Terraform
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Avante Health Inc. is the AI-native platform that transforms how employers manage their second-largest line item: benefits. Avante unifies fragmented data from across claims, benefits systems, vendors, and employee records, providing visibility into benefits utilization and outcomes across the employee lifecycle. Leaders get real-time AI insights into benefits performance, vendor selection, plan design, and cost containment – while personalized AI guidance connects employees to the right benefits in the moments that matter. The result is healthier employees and a healthier bottom line: employers that are finally able to optimize and scale their HR operations, reducing benefits workload by 60% and improving employee engagement by 7x.
Founded in 2024, Avante operates from Seattle. For more information, visit avante.ai.com or follow us on X or YouTube.
