Location Flexible (US Central Time Preferred) | Fully Remote Role

Who We Are

Higg is the sustainability insights platform for consumer goods industries, delivering software and services for measuring, managing, and sharing supply chain performance data. 

From materials to products, from facilities to stores, across energy, waste, water, and working conditions, Higg unlocks a complete view of a business’s social and environmental impact. Spun out of the Sustainable Apparel Coalition in 2019 as a public-benefit technology company, Higg is the exclusive licensee of the Higg Index, a suite of tools for the standardized measurement of supply chain sustainability.

We’re motivated by the opportunity to help customers improve every aspect of the trillion-dollar industries that touch everyone’s lives. We want business to change for good, but in a way that adds up to industry-scale change, because no business can change the world alone and doing just one thing for a positive headline won't change our world fast enough. 

Today, Higg is trusted by global brands, retailers, and manufacturers to provide the comprehensive intelligence needed to accelerate business and industry transformation.

The Opportunity

We currently have an opening for a Junior Data Integration Engineer to join our growing data team of analytics experts. The hire will play a supporting role in expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is a proficient data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Junior Data Integration Engineer will support our data analysts, data scientists, software developers, and database architects on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of contributing to the optimization or even re-design of our company’s data architecture to support our next generation of products and data initiatives. Passion for sustainability and/or experience with sustainability business data is a plus!

Key Responsibilities

  • Support the development of optimal data pipeline architecture.

  • Assemble large, complex data sets that meet functional / non-functional business requirements.

  • Implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure, etc.

  • Help build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies.

  • Help build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

  • Work with stakeholders including the Customer Success, Product, Development, and Marketing teams to assist with data-related technical issues and support their data infrastructure needs.

  • Keep our data separated and secure across international boundaries through multiple data centers and AWS regions.

  • Support the creation of data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

  • Work with data and analytics experts to strive for greater functionality in our data systems.

Required Qualifications

We are looking for a candidate who has 1-3 years of experience in a Data Engineer role, or who has a graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field plus substantial internship experience. They should also have the following qualifications:

  • Proficient working SQL knowledge (including Postgres) and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (including AWS).

  • Experience building and optimizing complex data pipelines, architectures, and data sets.

  • Strong analytic skills related to working with unstructured datasets.

  • Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management.

  • A successful history of manipulating, processing, and extracting value from large disconnected datasets.

  • Experience supporting and working with cross-functional teams in a dynamic environment.

  • Experience integrating with 3rd party services via API such as Zendesk, SFDC, Mailchimp, Sendgrid, etc. is a plus.

  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc is a plus.

  • Interest and familiarity with sustainable business data and practices is a plus.


  • Enjoy benefits including unlimited PTO, flexible working locations, benefits packaging which includes health (medical, dental, vision) and flexible spending benefits, retirement matching plan, and many other benefits.

  • Be part of a team that includes software engineers, sustainability professionals, business leaders, marketers, designers, artists, number crunchers and more than a handful of farmers! (From backyard mushrooms to multi-acre orchards.)

  • Surround yourself with the kindest, smartest, most enthusiastic and dedicated people you’ll ever meet, who dream big, listen well, learn from their mistakes and when things go wrong, pull together to help each other out.

Individuals seeking employment at Higg are considered without regard to race, color, religious creed, sex, national origin, citizenship status, age, physical or mental disability, sexual orientation, gender identification, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state, or local law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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