Data Engineer

Sortly

Sortly, a user-friendly inventory management company, seeks a Data Engineer to join its team. The role supports the organization's commitment to designing intuitive data-driven solutions, aiding teams from marketing to revenue operations in strategic decision-making. As a remote-first company, Sortly embraces diversity, with employees spread across four countries.

In this role you can expect to have the responsibilities:

• Design and maintain foundational dbt models in Google BigQuery for precise data.
• Collaborate with GTM and marketing teams to anticipate data needs.
• Use Apache Airflow to orchestrate data transformations.
• Monitor data for anomalies and improve data integrity.
• Coordinate with cross-functional teams and communicate technical insights clearly.

This role comes with the following benefits:

• Remote-first work culture in the United States.
• Flexible time off and working hours.
• Comprehensive health, dental, and vision benefits.
• Professional development stipend.
• Participation in team offsites and events.

This role requires you to have:

• 3+ years as a Data Engineer with experience in scalable data pipelines.
• Advanced SQL skills and familiarity with dbt and Google BigQuery.
• Knowledge of Apache Airflow and programming in Python or Ruby.

You would benefit from having:

• Experience with BI tools like Tableau and Looker.
• Familiarity with Google Analytics, Segment, or Stripe.

Applicants must be eligible to work in the United States. Sortly values diversity and innovation, encouraging employees to learn from both failures and successes within a supportive environment.