Roboflow

4 months ago

Data Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Data infrastructure engineer to centralize data engineering capabilities, build and govern data pipelines, and enable self-serve analytics across product, sales, marketing, and engineering. You’ll own BigQuery/dbt infrastructure, optimize GCP spend, and collaborate with stakeholders to design scalable data solutions that empower multiple teams.

Location: New York, San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key 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
•Drive data quality: Implement monitoring, testing, and validation frameworks to ensure data reliability

Pay and Benefits

Perks:Travel AllowanceProductivity StipendHealth InsuranceRemote WorkPaid LeaveParental LeaveEquity

Key Requirements

•Strong foundation in data engineering principles and patterns; experience building scalable, maintainable data pipelines.
•Hands-on experience with BigQuery and GCP data services (or equivalent cloud data platforms).
•Proficiency with data transformation frameworks (dbt strongly preferred).
•Experience enabling non-technical teams to self-serve analytics.
•Strong communication skills and ability to translate business requirements into robust data solutions.

Experience:Data engineeringData warehousingCloud data platforms

Skills:CommunicationCollaborationProblem-solvingOwnership

Tech Stack:BigQueryDbtGCPData pipelines

Company Brief

Roboflow

Provides a computer vision platform that helps teams build, deploy, and manage object detection and image classification models. Offers tooling for dataset versioning, annotation, augmentation, and production-ready model hosting and monitoring.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Headquarters: Boston, United States

Founded: 2016

Website LinkedIn

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Roboflow

4 months ago

Data Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: New York, San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key 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
•Drive data quality: Implement monitoring, testing, and validation frameworks to ensure data reliability

Pay and Benefits

Perks:Travel AllowanceProductivity StipendHealth InsuranceRemote WorkPaid LeaveParental LeaveEquity

Key Requirements

•Strong foundation in data engineering principles and patterns; experience building scalable, maintainable data pipelines.
•Hands-on experience with BigQuery and GCP data services (or equivalent cloud data platforms).
•Proficiency with data transformation frameworks (dbt strongly preferred).
•Experience enabling non-technical teams to self-serve analytics.
•Strong communication skills and ability to translate business requirements into robust data solutions.

Experience:Data engineeringData warehousingCloud data platforms

Skills:CommunicationCollaborationProblem-solvingOwnership

Tech Stack:BigQueryDbtGCPData pipelines

Company Brief

Roboflow

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Headquarters: Boston, United States

Founded: 2016

Website LinkedIn