[Hiring] Data Engineer @(Re)vive

(Re)vive; United States; Remote; USD 140,000 - 170,000; Full time

Job summary

An innovative company is on the lookout for a Data Engineer to elevate their data capabilities. This exciting role involves owning data infrastructure, building data pipelines, and leveraging new technologies to drive business decisions. You will work in a collaborative environment, helping to shape the future of the company's data strategy. If you thrive in dynamic settings and enjoy problem-solving, this opportunity is perfect for you. Join a team dedicated to sustainability and technology, making a significant impact in the industry.

Qualifications

• 5+ years of professional experience in data engineering.
• Experience with early-stage startups and developing new data capabilities.

Responsibilities

• Communicate complex business activities and technical requirements to stakeholders.
• Build data pipelines and manage data infrastructure for reliable access.

Skills

SQL

Data Infrastructure Management

API Development

Machine Learning

Data Modeling

Job description

May 08, 2025 - (Re)vive is hiring a remote Data Engineer. Salary: $140,000-$170,000. Location: USA.

Department: Engineering

Reports to: Engineering Manager

Position: Full Time – Exempt (Salary)

Salary Range: $140,000-$170,000

Location: Remote

Company Description:

Revive offers technology solutions to help brands maximize inventory productivity via data-driven refurbishment services. We are creating circular & sustainable collections with brand partners by extending the life of every garment we touch. Revive’s focus on technology, innovation, and sustainability is changing how consumers and brands view the garments they buy and produce.

Job Summary

We are seeking a Data Engineer to help elevate our understanding of our data to the next level. This role requires a balance of technical expertise and leadership skills. You will join a small team focused on enabling our business to make strong decisions based on data, and help our customers understand how their products perform on our platform. You will have the opportunity to set the future direction of our team by investing in new technologies and expanding our data warehouse. Success in this role depends on owning problems from discovery through development and establishing new patterns for future success.

This description outlines the general nature and level of work performed by a Data Engineer at Hemster, Inc dba Revive. Duties and responsibilities may change at any time.

Duties / Responsibilities:

• Effectively communicate complex business activities, technical requirements, and recommendations to stakeholders
• Own our data infrastructure to ensure reliable access to high-quality data for our business and clients
• Build data pipelines connecting our platform with customer catalogs, logistics partners, and external platforms
• Identify opportunities to enhance our data capabilities with new technologies and tools
• Contribute to developing the engineering roadmap for our data stack
• Assess and evaluate AI/ML tools to determine their value to our business

Requirements:

• At least 5 years of professional experience
• Experience with early-stage startups and developing new data capabilities
• Proficiency in SQL and familiarity with dbt projects
• Experience designing and maintaining API data pipelines and integrations
• Background as a full-stack engineer with understanding of database schema impacts
• Knowledge of machine learning technologies and large language models
• Understanding of data challenges faced by eCommerce platforms and experience building relevant data models

Preferred Qualifications:

• Excitement to join a growing small team and shape the company's future
• Ownership mentality in problem-solving
• Willingness to adopt new tools for efficiency
• Preference for fast-paced environments that encourage risk-taking and learning
• Strong communication skills and appropriate collaboration

Position Details:

This is a full-time, exempt position with typical hours of 40 per week, Monday through Friday.