Senior Data Engineer

Job Description

Mangomint is a fast-growing SaaS company on a mission to make every salon and spa more profitable. We are already the highest-rated salon and spa software in the US and Canada with thousands of customers and seek to become the #1 market leader in the coming years.

We’re a fully remote, fun, and ambitious team and get together every few months in person. As we grow, we’re looking to attract high-potential individuals who want to be part of a winning team. If that’s you, come join us!

Mangomint is looking for a Senior Data Engineer to design, build, and optimize data pipelines, automations, and internal data tools that support all aspects of our business. As a Senior Data Engineer at Mangomint, you’ll have the opportunity to work across multiple systems, integrating data from our product, CRM, and other business platforms to drive analytics, automation, and operational efficiency. Your primary focus will be on developing scalable data solutions, building automations, and enabling efficient, data-driven operations.

In this role you’ll primarily work in SQL, Python, and Javascript within our data platform. We use AWS, Snowflake, Prefect, Pipedream, dbt, Sigma and a variety of other internal business systems.

If you love taking data projects from start to finish, enjoy working autonomously in a fast-paced startup environment, don’t mind some ambiguity, and thrive when collaborating directly with stakeholders, this role could be for you!

• Design, develop, and maintain ETL/ELT data pipelines using Snowflake, dbt, Prefect, and other modern data tools

• Automate data workflows to improve efficiency and reliability

• Integrate CRM and other business systems to support cross-functional needs

• Develop data enrichment pipelines to power our sales process

• Build internal data tools to drive data-driven decision making

• Work directly with stakeholders to define requirements and implement data solutions that support business objectives

• Ensure data integrity, governance, and security best practices are upheld

• Support analytics and reporting efforts by building dashboards and data models in dbt and Sigma

• 3+ years of experience in data engineering or a related role

• Proficiency in SQL and Python for data pipelines and automation

• Experience with dbt (or similar data modeling tools)

• Familiarity with Snowflake (or other cloud data warehouses)

• Knowledge of APIs and experience integrating various data sources

• Experience with CRM and business systems (Salesforce, Outreach, Stripe, etc.)

• Strong problem-solving skills and ability to take ownership of projects

• Ability to work independently in a small, fast-paced startup environment

• Effective communication skills to translate business needs into technical solutions

• Experience with Snowflake and dbt

• Experience working with CRM and other GTM data

• Familiarity with Sigma (or similar BI tools)

• Prior experience working at a startup or similarly scaled company

• Exposure to multiple tech stacks and experience at different companies

• Health, dental, vision, life & LTD insurance

• Generous monthly wellness budget for gym memberships, yoga, etc.

• Premium subscription to the Calm app & One Medical membership

• Flexible and unlimited PTO

• 401k plan available (no matching)

• Employee stock option program