Solutions Engineer

We’re growing and we are looking to add a Solutions Engineer - Data Cloud to our fast-paced and customer-oriented Product and Technology team. This is the perfect role for someone who wants to connect the dots between technology, data, and customer needs to activate impactful data solutions.

Our team thrives in a fast-paced, customer-centric environment, always pushing the boundaries of data and technology. As a remote-first company, we value flexibility, collaboration, and the drive to solve complex problems, embracing constraints to foster creativity. Working in smaller, focused pods, we tackle innovative projects in Amazon competitive intelligence with a scrappy mindset.

Location: We’re remote-first and looking to hire between the PST–EST time zones in Canada (excluding Quebec).

Interested in learning more? Let’s get into the details:

Day in the life of a Solutions Engineer:

• Support Product, Customer Success, Professional Services on customer calls to understand core needs and develop solution specifications
• Present technical solutions to non-technical stakeholders 
• Build data solutions from a provided specification
• QA a custom dataset that you’ve built for a customer
• Collaborate with engineering and data teams as needed to resolve questions; troubleshoot an anomaly in the data a customer is receiving
• Create queries, reports, and internal dashboards to illustrate the value of Jungle Scout’s data for sales enablement
• Collaborate with Customer Success, Customer Support, and Professional Services to manage customer timelines and support onboarding processes
• Support the creation of onboarding guides, FAQs, queries, and other materials to accelerate customer enablement
• Connect with the team through a combination of scrum meetings and Slack updates.
• Bonus: Collaborate with with engineering and data teams to create delivery pipelines for custom data

Who you are:

• Customer-Facing Data Expert. You have 3+ years of experience working directly with customers to implement or integrate data solutions.
• Experienced Data Integrator. You bring extensive hands-on experience with data integration, analysis, and building pipelines.
• Creative Problem Solver. You love digging into complex challenges and designing practical solutions that make sense.
• Strong Communicator. You can explain data concepts clearly to non-technical stakeholders and collaborate across teams.
• Skilled in SQL and Python. You write clean, efficient SQL and use Python for data automation and analysis.
• Tech-Savvy. You’re comfortable working with modern data stacks—data lakes, cloud warehouses, BI tools, and integration platforms.
• Reliable Multi-Tasker. You’re able to manage multiple projects and timelines with strong attention to detail.
• Customer-First Thinker. You stay focused on how your work delivers value and insights to customers.
• Quality-Oriented Contributor. You hold a high bar for your work and take ownership of its impact.
• Continuous Improver. You embrace feedback, raise standards, and push for better ways of working.

Must Have Technical Skills:

• Expertise in SQL for data analysis
• Experience with Python for data analysis and automation
• Experience building and troubleshooting ETL and data pipelines
• Experience working with Data Lakes (S3/Glue preferred)
• Experience with modern data warehouses like Snowflake, Redshift, BigQuery
• Experience with reporting infrastructure (Tableau, PowerBI, Looker, etc)
• Experience with common data integration patterns and systems (FTP, S3, Snowflake, GCP Filestore, Azure Blog Storage)
• Experience with a BI Tool (Tableau, Looker, PowerBI, etc)

Bonus Points:

• Experience in Ecommerce