Data Engineer

Why should you consider joining Auvik?

• You want to work at a company that is building impactful, relevant technology. Auvik’s network management software helps IT teams by automating time-consuming tasks, streamlining operations, and mitigating risk. It’s more important than ever to be able to remotely monitor and manage network infrastructure, and with Auvik, IT professionals have that essential visibility and control.

• You want to work with a leadership team who are transparent and trustworthy. Our senior leaders have a vision for Auvik. They are experienced, knowledgeable, approachable, and consistently working hard to drive success, both for the company and the team of people who make it happen.

• You want to work with a product customers love. People rave about what we’ve built. Our customers are smart, aspirational, and highly technical. It pays to get the details right.

• You want regular opportunities for learning and growth. With ongoing feedback from leadership, you’ll find that Auvik encourages you to be your very best. Our onboarding process is thorough and informative because we want to make sure you’re prepared to have a great work experience. We also have programs designed to help you take the next steps you want for your career.

• You want the flexibility to manage your work, your way. We’re a fully distributed team and we’re prepared to continue to support working from home (or the spaCompensation Details 

What's this role about?

We’re looking for a Data Engineer experienced with the modern data stack to design and scale our data architecture. Ideal for someone who loves building clean, documented, reliable datasets that power business insights. 

What will I be doing?

• Design, build, and maintain ETL pipelines using Stitch and AWS-native services.
• Own and optimize our Snowflake data warehouse, including schema design and performance tuning.
• Implement dbt models to transform raw data into clean, analytics-ready datasets.
• Support Looker by developing LookML models, explores, and governed metrics.
• Build data quality checks, logging, and monitoring across pipelines.
• Design AI ready ecosystems that are scalable and resilient, supporting both structured and unstructured data for Machine learning and AI Use cases.
• Monitor, troubleshoot and optimize pipelines for speed, scalability and cost efficiency in AI workloads
• Partner with product, support, operations and engineering teams to define and deliver data solutions.
• Contribute to roadmap planning and provide architectural guidance including data modelling standards, storage strategies, governance and long term scalability. 

What are we looking for?

• Several years of experience in Data Engineering
• Strong SQL and Python fundamentals
• Hands on experience with Snowflake (or equivalent modern cloud warehouses)
• Experience with dbt, Stitch or AWS (or equivalent cloud platforms)
• Strong Data modeling skills (star/snowflake schemas)
• Ability to work independently in a fast paced environment
• Familiarity with CI/CD and DevOps practices for data infrastructure.
• Strong grasp of data science and AI concepts like feature engineering, model lifecycle and real time inference. 

Are there Bonus Points?

• Experience with AI/ML enabling technologies such as feature stores, vector databases, embeddings, RAG pipelines, or GenAI-augmented platforms is a plus.

We’re actively hiring for this role and looking to bring someone great onto the team as soon as possible. 

About Auvik

Auvik delivers cloud-based network management software that gives IT teams instant visibility and control over their infrastructure — whether on-site, remote, or dispersed across global networks. Our platform automates network discovery, mapping, monitoring, configuration backups, traffic analysis and alerting, so IT professionals and MSPs can manage complex, multi-site environments with ease.

We’re focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply. We are happy to make any accommodations you may need throughout the interview process as well. 

Auvik is an Equal Opportunity Employer and considers applicants for employment without regard to race, colour, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law.

Hiring Process

At Auvik, our hiring process is designed to be personal, transparent, and human-led. Our Talent Acquisition Partners review all resumes, connect with candidates whose skills and experience aligns with the role, and stay in communication with you throughout your journey. If our interests align, you'll meet with a hiring manager, as well as additional members of the hiring team in follow-up conversations. All of your interviews will take place via Zoom.

Before meeting with a hiring manager, we also ask candidates to complete a 5-minute Predictive Index (PI) assessment. This helps us understand and match your strengths and work preferences with roles that will set you up for success.

We use AI tools to support administrative tasks in the hiring process; such as helping source candidates, drafting communications, and interview summaries, so our team can stay focused and present during conversations. We do not use AI tools to interview, screen or assess candidates; or determine who moves forward in the process. We debrief and consider the full context of every conversation before making hiring decisions. We believe hiring requires judgment that can be augmented but not replaced by AI.