About Us:
Wrapbook is the AI platform for production finance. We’re building a system of action that puts finance teams in control of their whole production, from payroll, to spend, to accounting.
Built for feature films, TV, and commercials, Wrapbook is trusted by teams at Netflix, Paramount, Anonymous Content, and more. With backing from Andreessen Horowitz, Bessemer Venture Partners, and Jeffrey Katzenberg's WndrCo, our team of 350+ is using AI to transform how finance teams work and empower them to do more with less.
The Opportunity - Senior Analytics Engineer II (Remote - Canada)
We’re looking for a Senior Analytics Engineer II to evolve and own Wrapbook’s analytics layer and tech stack.
In this role, you’ll build and scale the data foundations that enable fast, reliable, and actionable insights across Wrapbook. You’ll partner with business stakeholders and Engineering on end-to-end analytics work, from source systems and data models to governed metrics, self-serve analytics, and production monitoring.
You’ll make our analytics foundation usable by both people and AI agents through clear documentation, governed data, and strong data quality controls. You’ll also set standards for how analytics work is built, tested, monitored, and maintained.
If you enjoy solving complex data problems, can navigate ambiguity, proactively identify solutions, and are excited to rethink how teams and AI work with data, this role is for you
What You'll Do
Lead the development of analytics products and self-serve tools so teams across Wrapbook can access trusted data and use it independently.
Own analytics products end to end, from defining success metrics and designing schemas through testing, production deployment, data quality, freshness SLAs, and incident resolution.
Build and maintain reliable ETL/ELT pipelines and canonical datasets that support analytical workflows across the company.
Build the governed data layer, including semantic models, canonical views, metric definitions, and data contracts. Maintain versioning and backward compatibility so downstream BI and AI consumers remain stable.
Structure models, definitions, and documentation so data is usable by people and by AI agents. Build internal tools that help teams ask data questions and trust the answers they receive.
Identify business questions, translate them into structured analytical problems, and develop data solutions that answer them.
Mentor the Analytics team by setting standards for testing, dbt CI/CD, monitoring, alerting, automation, runbooks, onboarding, and code review.
Partner with Engineering to understand source schemas, events, and system architecture. Provide input early so data entering the warehouse is reliable, stable, and easy to model.
What You'll Have
4+ years in data or analytics engineering. You've built and operated production pipelines end to end and owned issues when they broke.
Strong SQL and solid Python. Hands-on experience with ETL and orchestration tools (Airbyte, Fivetran, Dagster, dbt, Airflow, or similar), including multi-step workflows.
Experience with modern data warehouses (Snowflake, Databricks, or Redshift), including query and performance optimization.
Strong data modeling skills. You understand the business meaning behind the metrics, not just how the data moves.
A bias for action. You ship useful, iterative data models that deliver value without waiting for a perfect solution.
Experience building governed data layers (semantic models, canonical views, metric definitions, or data contracts).
Experience writing data quality checks to validate data integrity (dbt tests, Great Expectations, Pydeequ, or similar).
Experience with BI tools (Omni, Mode, Looker, Tableau, or similar). You've delivered reports and dashboards.
Experience setting standards for dbt CI/CD, monitoring, alerting, runbooks, and code review, and mentoring others on those practices.
A track record of evaluating and adopting new data and analytical tools when they solve a real problem or improve the stack.
Why Join Us
At Wrapbook, creativity meets technology — and not just in the product.
In addition to a competitive salary and all the benefits you can expect from a fast-growing technology company, you’ll get access to a team of creative problem solvers and the chance to see your contributions make large impacts. Benefits include:
Unlimited Paid Time Off
Work from anywhere in Canada and USA
Health and Dental benefits
Up to $1,500 USD/ $2,025 CAD towards IT set up for your home
Up to 2% matching RRSP / 401K
Learning and Development opportunities
Up to $50 USD/ $67.50 CAD towards Internet/Cell phone service
Our Pledge to Fostering an Inclusive and Safe Workplace:
Wrapbook pledges to be a harassment- and discrimination-free space for everyone, regardless of age, disability, ethnicity, gender identity or expression, nationality, neurotype, personal appearance, political affiliation, professional background, race, religion, or sexual identity or orientation.
Apply Now
Have we got your attention? Submit your application today and a member of our Talent team will be in touch with you shortly!
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Skills Required
- 4+ years of experience in data engineering or analytics engineering
- Experience building and operating production data pipelines end to end
- Strong SQL skills
- Solid Python skills
- Hands-on experience with ETL and orchestration tools such as Airbyte, Fivetran, Dagster, dbt, or Airflow
- Experience with modern data warehouses such as Snowflake, Databricks, or Redshift
- Query and warehouse performance optimization experience
- Strong data modeling skills
- Experience building governed data layers, semantic models, canonical views, metric definitions, or data contracts
- Experience writing data quality checks using dbt tests, Great Expectations, Pydeequ, or similar
- Experience with BI tools such as Omni, Mode, Looker, or Tableau
- Experience establishing standards for dbt CI/CD, monitoring, alerting, runbooks, and code review
- Experience mentoring others on analytics engineering practices
- Track record of evaluating and adopting new data and analytics tools
What We Do
Employers in media production and the entertainment industry are constantly hiring. Freelance employees move between projects and could get onboarded 30 or more times in a single year. And yet, much of the industry uses physical paperwork with no easy way to track payments, often struggling with compliance (due to ever-changing laws and union rules), and has few automation processes in place when it comes time to send payroll reports to their accountants. Wrapbook is an intuitive payroll and insurance solution for those balancing multiple projects. With digital solutions, simplified compliance, and comprehensive reporting, we take the stress away so employers and project-based workers can focus on the big picture. Commercial producers, filmmakers, and anyone creating media deserve robust solutions to meet their unique demands. With Wrapbook, you only have to ask for documents from cast and crew once. Our platform lets you move all the onboarding forms associated with any crew from a project to any future ones, giving you back hours. By swapping out paper timecards with digital ones, approving payroll is now a piece of cake. Crew can log into Wrapbook from any device to enter their hours and expenses. Providing producers with the right tools to onboard crew and process payments helps them put routine work on auto-pilot. That way, they can focus on more compelling tasks. Let us tackle paperwork, payroll, and insurance, so you can continue creating the work that matters.
