Senior Data Engineer

What Makes Us Stand Out:

With the combined strengths of SingleOps and Landscape Management Network (LMN), we lead the way in all-in-one business management solutions for the green industry. Every day, thousands of professionals in landscaping, tree care, design/build, snow removal, irrigation, and more rely on our tools to transform their business operations. From managing customer records and creating estimates to scheduling crews, processing payments, and gaining insights into real-time profitability—our software does it all. Together, our customers have processed over $4 billion in revenue, driving forward the green industry’s digital evolution.

As a team, we’re on a mission to reshape an age-old industry, and we’re looking for people who thrive on challenging and meaningful work. Our environment is highly collaborative, innovative, and supportive, with a shared commitment to having fun while making an impact. We live by our core values: We Before Me, The Extra 1%, Bias To Act, Unconditional Transparency, Accountable to Outcomes, Forgiveness. If this resonates with you, we’d love to meet you and explore how you can help us build the future of the green industry!

Our culture and growth has been recognized with multiple awards, it’s a great time to join! 

• Certified Great Place to Work Canada 2024
• Comparably 2024 #23/100 Best (small/ medium sized companies) Leadership Teams
• Comparably 2024 #63/75 (small/ medium sized companies) Happiest Employees
• #9 Atlanta Business Chronicle's 2024 Best Places to Work (Our second year in a row!) 
• #6 of Built In’s 2024 Best Places to Work: Top 50 start-ups in Atlanta  (Our second year in a row!) 
• Inc Magazine’s 2023 Best Places to Work 
• Inc. 5000: #131 of 2024 Southeast Regional America’s Fastest Growing Companies. (Our third year in a row!)
• Inc 5000 America's fastest-growing private companies (Our third year in a row!)

As a Senior Data Engineer, you’ll play a pivotal role in shaping the future of our data platform. Our goal is to deliver trusted, near-real-time data products that support analytics, AI applications, and customer-facing data features. You’ll collaborate across engineering, product, and analytics teams to build the architecture and tooling that powers insight and action.

Outcomes you will drive: 

• Build and maintain scalable, modular data pipelines using tools like dbt, Azure Data Factory, etc.
• Design batch and streaming data workflows that support near-real-time reporting and operational intelligence.
• Deliver high-quality, trusted datasets to enable analytics, dashboards, embedded apps, and AI use cases.
• Influence and guide the evolution of our data platform tooling and architectural decisions.
• Contribute to structured architectural patterns such as Medallion for layered, reusable data models.
• Drive data quality through testing, observability, and proactive alerting (e.g. dbt test, data contacts).
• Partner across teams to improve velocity, reusability, and access to data with documentation, lineage, and governance.

Does this sound like you?

Specific experience is less important than a demonstrable desire to learn and the ability to complete complex projects. However, a good candidate should have the following:

• 5+ years of experience in data engineering or analytics engineering roles
• Deep mastery of SQL and extensive, hands-on experience with Snowflake
• Strong experience with dbt or similar data transformation frameworks
• Proficient in Python, Scala, or similar languages used in data pipeline logic/automation
• Experience with orchestration tools like Azure Data Factory, Airflow, or similar
• Comfortable working in a modern, git-based development environment with CI/CD
• Experience with cloud-native data streaming technologies such as Azure Event Grid, 
• Exposure and understanding of Data Architectural patterns such as Medallion
• Experience using Infrastructure as Code tooling, Terraform a bonus
• Bonus: Experience working in Snowflake features such as Cortex, Data Shares, Snowpark

A few ways to stand out...

• Experience working in data visualization tools such as Redash and Gooddata
• Experience with semantic modeling or enabling data for AI applications
• You’ve productionized batch and streaming pipelines that scale
• You’ve contributed to tooling decisions or platform evolution in a growing data team
• You’ve supported external data products, analytics features, or ML/AI-powered applications
• You understand how to balance speed and governance across data lifecycle and tooling

SingleOps/LMN does not sponsor work authorization needs; candidates must have proper work authorization to work for any employer in the US or Canada, without sponsorship from the company.

Reasons why you would love it here!

• Join an incredible team culture that’s all about collaboration, support, and having fun while making a real impact every day.
• You want to be part of a fun, fast paced, collaborative team.
• An amazing culture with a team that supports one another, the opportunity to make a direct impact, and all the fun that’s included!
• Your well-being is important. We offer an employer funded HSA-based benefits plan with additional drug, dental, and mental health coverages, providing a flexible way to pay for healthcare costs.
• We are committed to supporting our employees' financial health through our RRSP matching program.
• Enjoy a great work-life balance with unlimited Paid Time Off, paid company holidays, and a company-wide shutdown from Dec 24 - Jan 1 for a well-deserved holiday break.

SingleOps/LMN reserves the right to change job descriptions as per the needs of the organization.

We are committed to making employment opportunities accessible in accordance with the Accessibility for Ontarians with Disabilities Act, 2005. If you require accommodation, please contact hr@singleops.com.