Backend Platform Engineer — Data Onboarding & Pipelines

Haus Analytics; Oregon; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible PTO

Equity

Health insurance

WFH stipend

Office lunches

New Parent Leave

Job summary

Haus Analytics is seeking a backend engineer to develop workflows that help customers connect their data and configure ingestion with minimal human intervention. You will be a key part of onboarding customers and scaling data services within Haus’s Data Platform that powers large-scale incrementality and marketing analytics.

The Data Onboarding team builds ingestion from many ad-network APIs and customer warehouses, with BigQuery models driving decision-making at scale.

Qualifications

• 4+ years of backend experience building services and APIs.
• Proficiency in Python and SQL/dbt with orchestration tools.
• Experience with cloud data lakes/warehouses like BigQuery or Databricks.
• Experience with Google Cloud or AWS.

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 data ingestion.
• 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

Python

SQL/dbt

APIs

Orchestration

Backend

Tools

BigQuery

Databricks

GCP

AWS

Job description

Haus Analytics is seeking a backend engineer to develop workflows that help customers connect their data and configure ingestion with minimal human intervention. You will be a key part of onboarding customers and scaling data services within Haus’s Data Platform that powers large-scale incrementality and marketing analytics.

The Data Onboarding team builds ingestion from many ad-network APIs and customer warehouses, with BigQuery models driving decision-making at scale.