Senior Data Engineer

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 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!

As a Senior Data Engineer at Mangomint you will:

• 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

• 5+ 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 and communication skills and the ability to take ownership of projects

Bonus points if you have:

• Prior experience working at a startup or similarly scaled company

• Exposure to multiple tech stacks and experience at different companies

• Competitive compensation

• Employee stock options

• Comprehensive health coverage (health, dental, vision, life & disability)

• Generous monthly wellness budget (gym, massage, etc.)

• Premium Calm app & One Medical membership

• Flexible, unlimited PTO

• 401k, HSA and FSA plans available (no current match)