Data Engineer

Revive | B-Corp Certified; New York (NY); Remote; USD 140,000 - 170,000; Full time

Job summary

An innovative firm is seeking a Data Engineer to enhance data understanding and capabilities. In this dynamic role, you will lead the development of data pipelines and infrastructure, enabling informed decision-making for both the company and its clients. You'll have the chance to shape the future of data strategies while working closely with a dedicated team. This position offers the opportunity to thrive in a fast-paced environment, where your contributions will directly impact the company's growth and success. If you're passionate about data and eager to drive change, this is the perfect opportunity for you.

Qualifications

• 5+ years of experience in data engineering, especially in startups.
• Proficient in SQL and API data pipeline design.
• Experience with machine learning technologies.

Responsibilities

• Own data infrastructure for reliable access to high-quality data.
• Build data pipelines connecting platforms with external partners.
• Develop engineering roadmap for future data capabilities.

Skills

SQL

Data Pipeline Development

API Integrations

Machine Learning

Full Stack Engineering

Tools

dbt

AI/ML Tools

Job description

Department: Engineering

Reports to: Engineering Manager

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 unique position 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 our data, and enable our customers to understand how their products perform on our platform. This role will give you the opportunity to set the future direction of our team by strategically investing in new technologies, and bringing more data into our warehouse. You will be successful in this role if you thrive when you’re able to own a problem from discovery through development, and if you enjoy setting up new patterns and paradigms to set our team up for success in the future.

This job description is intended to describe the general nature and level of work performed by a Data Engineer at Hemster, Inc dba Revive. It is not intended to include all duties, responsibilities and activities. Duties, responsibilities and activities may change at any time with or without notice.

Duties / Responsibilities:

• Effectively communicate and understand complex business activities, technical requirements, and recommendations to the relevant stakeholders
• Own our data infrastructure to ensure our business and clients have reliable access to high quality data
• Build data pipelines to connect our platform with our customers catalogs, logistics partners, as well as external platforms we use to manage our business
• Identify opportunities to expand our data capabilities through new technologies and tools
• Be an active participant in developing the engineering roadmap to define the future of our data stack
• Assess and compare potential AI/ML tools and determine how they can bring value to our business
  
  

Requirements:

• >5 years of professional experience
• Thrived at early stage startups and experience with spinning up new data capabilities
• You’re confident writing SQL and can navigate and contribute to a dbt project with ease
• Experience designing, developing, and maintaining API data pipelines and integrations with other systems
• You’ve worked as a full stack engineer for web applications before, and understand how core database schema changes impact downstream consumers
• You know your way around machine learning tech and large language models
• You’re familiar with the challenges that an eCommerce platform faces in terms of the data that buyers need to make decisions, and have experience building data models to support this business
  
  

Preferred Qualifications:

• You relish the opportunity to join a small team that’s growing aggressively, and take a part in defining the future of our company
• You work best when you’re given ownership to solve problems, not simply take solutions that are handed to you
• You incorporate new tools that enable you to be more efficient into your workflow
• You want to join a team that encourages moving fast, taking calculated risks, and supports learning from our mistakes
• You communicate frequently, and know when it’s the right time to bring other people in for support
  
  

Position Type / Expected Hours of Work:

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

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