Senior Backend Engineer, Data Ingestion & Workflows

Haus Analytics; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible PTO

Equity

Health, dental & vision insurance

WFH stipend

Events & Offsites

Free Lunch (Seattle office)

Job summary

Haus Analytics is seeking a backend engineer in Seattle to help build and scale ingestion workflows that connect customer data. You will work on long-running data pipelines, APIs, and customer-facing tools to automate data ingestion with minimal human intervention.

You’ll contribute to AI services and collaborate with Customer Success to tailor data models for clients, while participating in on-call rotations to ensure reliability and performance across our data platform.

Qualifications

• 4+ years experience building backend services & APIs.
• Fluency in Python and SQL/dbt with a modern orchestrator (Dagster, Airflow, Temporal, etc).
• Experience with cloud data lakehouse/warehouse (BigQuery, Databricks, etc).

Responsibilities

• Join the team responsible for accessing, ingesting, and validating customer data.
• Build, maintain and extend long-running workflows, APIs, data pipelines, customer-facing UIs, and scripts used in automatic and manual data ingestion flow.
• Contribute to AI (MCP) services owned by the team.
• Partner with Customer Success teams to build custom data models for customers.
• Participate in an on-call rotation.

Skills

Backend engineering

APIs

Data pipelines

On-call rotation

Tools

Python

SQL/dbt

Dagster

Airflow

Temporal

BigQuery

GCP

AWS

Job description

Haus Analytics is seeking a backend engineer in Seattle to help build and scale ingestion workflows that connect customer data. You will work on long-running data pipelines, APIs, and customer-facing tools to automate data ingestion with minimal human intervention.

You’ll contribute to AI services and collaborate with Customer Success to tailor data models for clients, while participating in on-call rotations to ensure reliability and performance across our data platform.