Analytics Data Engineer

Summary

Join SalonInteractive, a growing company focused on providing beauty industry tools, as a Data Engineer. You will play a key role in building scalable data reporting and infrastructure, partnering with the CEO and stakeholders. Responsibilities include building and managing ETL/ELT pipelines using Fivetran, DBT, and Snowflake, developing data models and reports, and collaborating with stakeholders. This role requires a Bachelor's degree in data engineering or a relevant field, 5+ years of experience, and advanced proficiency in modern ETL/ELT stacks. The ideal candidate will possess expert-level Python and SQL skills and a strong understanding of cloud-native data architectures. The company offers a competitive salary and a comprehensive benefits package.

Requirements

• Hold a Bachelor’s degree in data engineering or relevant discipline and have 5+ years of hands-on experience as a data engineer managing data pipelines
• Possess advanced proficiency in modern ETL/ELT stacks - expertise in Fivetran, DBT, and Snowflake
• Demonstrate understanding of data analytics and tools, including Metabase and PowerBI
• Have expert-level Python and SQL skills with deep experience in DBT transformations
• Show a strong understanding of cloud-native data architectures and modern data warehousing principles
• Display familiarity with data security, governance, and compliance standards
• Be adept at designing and delivering interactive dashboards and comprehensive reports – utilizing data for informed decision making
• Have experience collaborating with internal stakeholders and external partners to align data solutions with business goals
• Possess excellent written and verbal communication skills, capable of explaining complex data concepts to non-technical audiences
• Be able to own data pipelines and drive improvements with speed and efficiency

Responsibilities

• Build and manage robust ETL/ELT pipelines using Fivetran, DBT, and Snowflake, ensuring data quality, security, integrity, and scalable reporting
• Develop and optimize data models and analytical reports - bridging the gap between raw data and actionable insights
• Collaborate with stakeholders to create data pipelines that align with BI needs – you will own the pipeline and data validation
• Design and develop SQL-based solutions, leveraging DBT to transform data and optimize the data warehouse
• Build the reporting infrastructure from ambiguous requirements and deliver data-driven solutions
• Continuously improve customer experience and provide technical leadership
• Evangelize best practices and technologies, being mindful of quality in all you do!

Benefits

• Salary $110,000 - $125,000 depending on experience
• A nice suite of benefits
• The opportunity to build a business-critical product from the ground up