# Data Infrastructure

**Company:** [Roboflow](https://hotfix.jobs/companies/roboflow)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $165k – $185k/yr
**Skills:** BigQuery, dbt, GCP, Data Pipelines, Data Warehousing, Hex, Airflow, Prefect, Dagster
**Posted:** 2026-02-27

> Builds and stewards scalable data infrastructure including BigQuery and dbt pipelines on GCP, enabling self-service analytics for cross-functional teams while optimizing costs and ensuring data quality.

## Job Description

## Responsibilities
- Own the data platform: Provide stewardship for our BigQuery and dbt infrastructure, improving reliability, performance, and developer experience.
- Enable teams: Build self-service capabilities and tooling that allow product, sales, marketing, and engineering teams to access and analyze data independently.
- Design data architecture: Define and implement our philosophy on data services, including pipeline patterns, data modeling standards, and integration approaches.
- Optimize infrastructure: Deeply understand GCP and BigQuery to architect cost-effective solutions that scale with our growth.
- Build collaboratively: Work with stakeholders across the company to understand data needs and build pipelines that serve multiple use cases.
- Establish best practices: Create documentation, templates, and standards that make it easy for teams to work with data correctly.
- Act as advisor to team who produce and consume data with the goal of ensuring best practices.
- Drive data quality: Implement monitoring, testing, and validation frameworks to ensure data reliability.

## Requirements
- Strong foundation in data engineering principles and patterns; experience building scalable, maintainable data pipelines.
- Deep understanding of modern data warehouse architecture and analytical database design.
- Hands-on experience with BigQuery and GCP data services (or equivalent cloud data platforms).
- Proficiency with data transformation frameworks (dbt strongly preferred).
- Experience with data visualization tools (Hex preferred).
- Track record of balancing technical excellence with pragmatic cost optimization.
- Ability to translate business requirements into robust data solutions.
- Experience enabling non-technical teams to self-serve analytics.
- Strong communication skills and comfort working across organizational boundaries.

## Preferred Experience
- Experience with workflow orchestration tools beyond GitHub Actions (Airflow, Prefect, Dagster, etc.).
- Knowledge of real-time data processing and streaming architectures.
- Background in data governance and quality frameworks.
- Experience with reverse ETL or operational analytics patterns.
- Familiarity with BI tools and semantic layers.
- Understanding of privacy and compliance considerations in data systems.

## Compensation
- Target comp: $165,000 - $185,000

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