About Us 🌎

EcoCart is a leading climate technology application for online retailers. We partner with brands to meet their sustainability goals by identifying opportunities to reduce their carbon footprint throughout their supply chain and business operations. Where greenhouse gas emissions are unavoidable we partner with certified carbon offset projects. By helping ecommerce businesses tell their sustainability story we boost trust, prevent greenwashing, and offset unavoidable greenhouse gas emissions.

We are a 50-person, remote-first company looking for people who are motivated by being part of a team building products that will help change the world. We're growing quickly, and want you to grow with us - Join us in our mission to make the fight against climate change easy, accessible, & affordable for everyone!

EcoCart is currently only hiring folks based in the United States or Canada.

See who you'd be working with by checking out our org chart: https://theorg.com/org/ecocart

The Opportunity

We are looking for a Lead Data Engineer to lead our Data team (Currently 3, and growing!) in transforming and analyzing the data that matters most to our business. The right candidate will have strong analytical skills and the ability to combine data from different sources. You should have prior experience in leading, coaching, and determining priorities for a team, and should be comfortable translating engineering terminology into a language stakeholders can understand. You should also be familiar with several programming languages (ideally Python) and have knowledge of machine learning methods. If this sounds like you, we’d love to meet you!

Check out our tech stack on StackShare: https://stackshare.io/ecocart-io/ecocart-io

Salary Range: $180,000-$200,000

In this role you will 💻

Take the lead in developing a strong, organized, and trustworthy source of data for the company
Provide guidance and direction to team members in partnership with the VP of Engineering
Analyze and organize raw data
Build data systems and pipelines within the AWS Ecosystem
Develop Python code to enable data migrations and ETLs across the company
Evaluate business needs and objectives
Interpret trends and patterns
Conduct complex data analysis and report on results
Prepare data for prescriptive and predictive modeling
Build algorithms and prototypes
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Identify opportunities for data acquisition
Develop analytical tools and programs
Leverage AI and ML as part of our product and business development strategy
Collaborate the engineering team and company at large on special projects

Minimum Requirements 🔍

5+ years of experience as a Data Engineer or similar role
1+ year of direct leadership experience
Experience with ETL/ELT tools (e.g. AWS Glue, Fivetran, SSIS)
Technical expertise with data models, data mining, and segmentation techniques
Knowledge of programming languages (e.g. Java and Python)
Hands-on experience with SQL and NoSQL database design
Experience with DynamoDB, Lambda, and Redshift. Sigma
Great numerical and analytical skills
A collaborative individual who enjoys working on a team building things together