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Senior Data Engineer

Avante · Seattle, WA · On Site · Active · $170,000–$210,000 / year · Lever

Job facts

Field	Value
Company	Avante
Title	Senior Data Engineer
Normalized title	-
Department / team	Engineering
Location	Seattle, WA, United States
Work model	On Site
Employment type	Full Time
Salary	$170,000–$210,000 / year
Status	active
ATS provider	Lever
Posted / first seen	2026-03-27 / 2026-05-29
Changed / last seen	2026-05-29 / 2026-06-06

Related slices

Page	What it contains	Open
Company jobs	Active postings from Avante.	Open
Company breakdowns	Role, location, ATS, and work model facets for this company.	Open
ATS provider jobs	Active postings observed through Lever.	Open
Provider filtered search	The same provider as a filtered job collection.	Open
City jobs	Active postings in Seattle.	Open
Work model jobs	Active On Site postings.	Open
Lifecycle events	Open, update, close, and reopen events for this posting.	Open
Original posting	Canonical source or apply URL captured from the ATS.	Open

Linked records

Company	Avante
Source	3f9e23ba-2b05-4d46-a973-105038fc1a66
ATS provider	Lever

Description

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, and applied AI. **Interview Process:** 1. Initial screen with our recruiters 2. Phone screen with the hiring manager 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! What You Will Do - 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 What We Are Looking For - 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 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

Full job record

Job ID	57d206e5caac0f8709c7b19ae4514e046691742c
Org ID	3f46c355-a8ea-4ec1-9678-631557f49972
Source ID	3f9e23ba-2b05-4d46-a973-105038fc1a66
Board ID	3f9e23ba-2b05-4d46-a973-105038fc1a66
Provider	lever
Provider Job Key	81d30a66-9f40-4675-88d1-bc30d9dbcf72
Title	Senior Data Engineer
Normalized Title	—
Status	active
Active	yes
Location Text	Seattle, WA
Department	—
Team	Engineering
Employment Type	Full-time
Workplace Type	on_site
Remote Policy	—
Country	United States
Region	WA
City	Seattle
Salary Raw	USD 170000-210000 per-year-salary
Salary Min	170,000
Salary Max	210,000
Salary Currency	USD
Salary Period	year
Source URL	https://jobs.lever.co/avante/81d30a66-9f40-4675-88d1-bc30d9dbcf72
Apply URL	https://jobs.lever.co/avante/81d30a66-9f40-4675-88d1-bc30d9dbcf72/apply
First Seen At	2026-05-29 07:01:36Z
Last Seen At	2026-06-06 20:01:43Z
Last Checked At	2026-06-06 20:01:43Z
Last Changed At	2026-05-29 07:01:36Z
Inactive At	—
Source Posted At	2026-03-27 15:44:13Z
Source Updated At	—
Raw Payload Uri	s3://job-postings-prod-raw-590183727216/raw/provider=lever/board=avante/date=2026-06-06/2026-06-06T20-01-43-107Z-ee6c7567f10d2f7f0c833008eebc7b7a463f2824c1ae3b262b70e0ac8b025fb2.json

Event Fields

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Parsed Structured

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Extensions

{}

Native Structured

{
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    },
    {
      "text": "What We Are Looking For",
      "content": "<div>\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">- 5+ years experience building scalable data pipelines and warehouses</span></p>\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">- Extensive experience with SQL based transforms in DBT or similar technologies</span></p>\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">- Experience operating as a technical lead on a data team</span></p>\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">- A passion for data quality and careful testing and validation</span></p>\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">- Fluency in python with an emphasis on readable, maintainable code</span></p>\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">- Familiarity with Terraform and K8s container orchestration</span></p>\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">- Ability to communicate technical concepts clearly to diverse audiences, including internal and external stakeholders</span></p>\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">- Flexibility and willingness to wear many hats and help out wherever it is needed</span></p>\n</div>"
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      "text": "Nice to Have",
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    },
    {
      "text": "Our Tech Stack",
      "content": "<div>\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">- DBT for transformation workflows and data modeling</span></p>\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">- Snowflake for data warehousing</span></p>\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">- Python for data loading, tokenization, and manipulation (Pandas, Polars) and integration with our AI platform</span></p>\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">- Data orchestration using Argo-Workflow DAGs</span></p>\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">- Azure cloud infrastructure with Kubernetes</span></p>\n</div>"
    },
    {
      "text": "Our Company Values:",
      "content": "<div>\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">- Beat Yesterday – Continuous improvement, innovation, and growth</span></p>\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">- Embrace Type 2 Fun – Resilience and positivity in the face of challenges</span></p>\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">- Act Like an Owner – Initiative, accountability, and focus on outcomes</span></p>\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt; font-family: Arial, sans-serif;\">- Stay Hungry, Stay Curious – Humility, curiosity, and bold thinking</span></p>\n</div>"
    }
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  "country": "US",
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