Data Engineer – Remote/Hybrid/Woodstock

Full Time

As a data engineer, you will guide the evolution of our information architecture as we scale up to 100s of thousands of merchants. You will be responsible for the following areas of performance:

• Data visualization and dashboards
• Predictive ML Model development (mostly linear regression and decision trees)
• Database analysis, design & administration (datamarts)
• Locate and define new process improvement opportunities
• Design and analyze multivariate experiments to evaluate the impact of product changes
• SQL Query optimization and data architecture improvements
• Implementing data pipelines using cloud infrastructure and services
• Develop and monitor portfolio credit risk metrics / trends

• DB: PostgreSQL
• ETL: Python
• Infra: AWS (Lambda, Route53, API Gateway, CloudFront, S3, SES)
• Dev Tools: Git, Bitbucket, Pipelines, Slack, Gitkraken
• OS: Ubuntu or Windows 10
• Apps: SagePay, SalesForce, Jira
• Dashboards: Dash / Plotly
• Reporting: MS Office

• Strong communication and presentation skills
• Customer champion
• Creative Solutions and experience in applying mathematical concepts to problems
• Quality driven
• Ability to pay attention to detail
• Ability to work effectively with others and contribute to the team’s accomplishment
• Ability to operate effectively under pressure

• Bachelor’s degrees (B degrees) in math / statistics, science, computer science
• 5-10 years’ relevant experience


Fully remote or hybrid (Woodstock)