Senior Data Engineer

ABOUT SORTLY
Sortly is a simple, multi-device inventory management solution. Our visual & intuitive approach to inventory enables thousands of SMBs and teams within iconic corporations, government entities, music bands & sports teams to stay on top of their consumables, assets, and material things. With over 8,000 five-star ratings in the App Store and a net promoter score greater than 55, our impressive growth has primarily been driven by organic sources and word of mouth. We are profitable, financially independent, and primed to scale within our $20B market! We are proudly a distributed and remote-first company since inception with teams across 4 countries.

OUR VALUES
Smart - We make decisions based on knowledge and understanding with the aim of creating and improving differentiated products that benefit our business and customers.

Inspiring - We embrace the spirit of entrepreneurship, taking considered risks and pushing ourselves to think boldly and creatively.

Empathetic - We are customer-centered by mission, with respect for the individual and a desire to create a great community.

Real - We seek opportunities to learn from our mistakes and successes, our colleagues and customers, and to help each other improve.

ABOUT THE ROLE

Role Summary: 

At Sortly, we are known for our commitment to simplicity and user-friendliness in everything we build. We are currently looking for Data Engineers who share our dedication to creating exceptional, data-driven experiences that empower teams across the company—from revenue operations to marketing—to make well-informed, strategic decisions. You will be responsible for designing and maintaining the core data models that power our most critical analytics and reporting initiatives.

What you’ll be doing:

• Develop & Maintain Foundational Data Models
  • Build, refine, and maintain core dbt models in Google BigQuery, ensuring data is accurate, up-to-date, and well-documented.
  • Collaborate with GTM (go-to-market) and marketing teams to anticipate data needs and design solutions.
• Partner with Analytics Stakeholders
  • Understand business and analytical requirements from various teams.
  • Streamline complex data queries, reducing overhead for analysts and other data consumers.
• Optimize Data Workflows
  • Use Apache Airflow (or similar DAG frameworks) to orchestrate and schedule data transformations.
  • Automate manual reporting tasks, simplifying data pipelines and reducing risk of human error.
  • Support advanced analytics, machine learning, and AI workflows for product and sales initiatives
• Ensure Data Quality & Reliability
  • Monitor data flows for anomalies and reconcile inconsistencies across different systems.
  • Innovate and implement improvements that bolster system reliability and data integrity.
• Collaborate & Communicate
  • Coordinate with cross-functional teams (e.g., product, revenue operations, marketing) to share insights and drive data-informed decisions.
  • Provide clear, concise technical explanations to a wide variety of stakeholders.

What You Should Have

• Technical Expertise
  • 5+ years of professional experience as a Data Engineer (or similar role) in building scalable, high-quality data pipelines.
  • Advanced SQL skills with a penchant for well-architected data models and optimized query performance.
  • Familiarity with the modern data stack—dbt and Google BigQuery are big pluses.
  • Exposure to Apache Airflow or similar DAG frameworks.
  • Some familiarity with Python or Ruby.
• Analytical & Business Acumen
  • Comfort collaborating with go-to-market and marketing teams to understand their data needs.
  • Strong judgment in differentiating essential vs. nice-to-have features and making trade-offs.
• Communication & Collaboration
  • Excellent written and verbal communication, including the ability to discuss complex data engineering concepts in clear, simple terms.
  • Proven track record of partnering effectively with cross-functional teams.
• Mindset
  • A growth mindset and a drive for continuous improvement.
  • Passion for building robust, scalable systems that drive impactful business decisions.
• Bonus Skills
  • Experience with BI/visualization platforms like Tableau, Looker, or similar tools.
  • Familiarity with operational systems like Google Analytics, Segment, or Stripe.
  • Sharp product instincts and ability to align data solutions with broader business objectives.

Why Should You Work With Us?

In addition to collaborating with fun, passionate, and talented colleagues, you’ll enjoy:

• Remote-First Culture
  • Work from anywhere in the United States; we’ve been a remote-first company since day one.
• Competitive Compensation
  • Enjoy a comprehensive package including salary and potential referral bonuses.
• Flexible Time Off
  • Take the time you need to bring your best self to work.
• Flexible Working Hours
  • Set your own schedule and work at the times that suit you best.
• Healthcare & Wellness
  • Comprehensive health, dental, and vision benefits for you and your family.
  • Access to mental health and wellness resources.
• Professional Development
  • A stipend dedicated to learning and development, ensuring you can keep your skills sharp.
• Team Offsites & Events
  • Attend in-person gatherings focused on fun and team bonding.
• Supportive Environment
  • Work with peers who are invested in your success and eager to help you grow your career.

This is a full-time, 100% remote position, open to applicants in the United States. Candidates must be eligible to work in the U.S.

Know more about us at https://www.sortly.com/

Ready to help shape the future of data at Sortly? We’d love to hear from you—apply today!

The salary band outlined above reflects compensation levels that are competitively benchmarked based on geographic location. Where an individual may fall within this band is determined by market data specific to their location, ensuring fairness and alignment with our compensation philosophy.