About Us:
Wrapbook is a smart, intuitive platform that makes production payroll and accounting easier, faster, and more secure. We provide a unified payroll platform that seamlessly connects your entire team—production, accounting, cast, and crew—all in one place. Wrapbook empowers production teams to manage projects, pay cast and crew, track expenses, and generate data-driven insights, while enabling workers to manage timecards, track pay, and onboard to new projects from any device. Wrapbook brings clarity and dependability to production payroll, while increasing the productivity of your whole team.
Trusted by companies of all sizes, Wrapbook powers payroll for some of the industry’s top production companies, including SMUGGLER, Tuff, and GhostRobot. Our growing team of 250+ people across the USA and Canada, including entertainment and technology experts from SAG-AFTRA, DGA, IATSE, Teamsters, Amazon, Microsoft, Facebook, and more. Wrapbook is backed by top-tier investors, including Jeffrey Katzenberg’s WndrCo, Andreessen Horowitz, and A* Capital. We have raised $130M and are in a strong financial position.
The Opportunity - Platform Data Engineer (Remote - USA / CANADA)
Wrapbook is seeking a Platform Data Engineer to scale and optimize our data infrastructure. In this role, you'll enhance data pipelines, drive key architectural decisions, and ensure seamless data movement. You'll establish robust data flow, governance, and reliability systems that empower the Data & Analytics team to focus on strategic initiatives.
As a key member of the Data & Analytics team, you'll take ownership of our infrastructure, implement modern tools, and design scalable architectures that support Wrapbook's growth and business objectives.
If you're passionate about building scalable systems and shaping the future of data platforms, we invite you to apply and join us on this exciting journey.
What You’ll Do:
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Own and optimize data pipeline infrastructure to ensure reliable, efficient, and scalable data flows from diverse sources.
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Contribute to the development of the data engineering roadmap in collaboration with Platform leadership and cross-functional stakeholders.
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Design, build, and maintain scalable ETL/ELT pipelines to transform raw data into curated datasets within AWS S3 and Snowflake.
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Implement and standardize data governance practices, ensuring data quality, lineage tracking, schema consistency, and compliance across pipelines.
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Collaborate with analytics and engineering teams to manage backfills, resolve schema drift, and implement best practices for incremental loads.
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Lead the design and implementation of a layered data architecture to improve scalability, governance, and self-service analytics.
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Develop and implement data contracts by collaborating across teams to align business goals with technical needs.
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Evaluate, plan, and execute new data tools, infrastructure, and system expansions to support company growth and evolving analytics needs.
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Deliver scalable, efficient, and maintainable code by applying architectural best practices and adhering to data engineering standards.
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Maintain SLAs for data freshness, accuracy, and availability by defining clear metrics that foster stakeholder trust and ensure consistent, reliable data delivery.
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Collaborate with the Data Analytics team to facilitate the delivery of strategic initiatives.
What You’ll Have:
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Hands-on experience deploying production-quality code in fast-paced environments
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Proficiency in Python (preferred), Java, or Scala for data processing and pipeline development
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Ability to thrive in fast-changing, ambiguous situations, balancing immediate needs with long-term goals
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Experience with data pipeline tools, such as Airbyte for ingestion and dbt for transformation/modeling
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Hands-on expertise with container orchestration tools, such as Kubernetes, and cloud-native environments (e.g., AWS)
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Proficiency with workflow automation and orchestration tools, like Dagster or Apache Airflow
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Deep familiarity with PostgreSQL, including administration, tuning, and provisioning in cloud platforms (e.g., AWS)
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Strong experience in ETL/ELT pipelines and data modeling, including raw vs. curated datasets, star schemas, and incremental loads
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Advanced SQL skills, with expertise in relational databases and data warehouses (especially Snowflake)
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Knowledge of best practices in data governance and security
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Excellent problem-solving skills and ability to troubleshoot complex issues
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Strong communication skills to collaborate with cross-functional teams
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:
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Unlimited Paid Time Off
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Work from anywhere in Canada and USA
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Health and Dental benefits
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Up to $1,500 USD/ $2,025 CAD towards IT set up for your home
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Up to 2% matching RRSP / 401K
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Learning and Development opportunities
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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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