Data Engineer – REMOTE (Canada)

At EverCommerce [Nasdaq: EVCM], we are on a mission to digitally transform the service economy with tailored, end-to-end SaaS solutions that simplify and empower the lives of our 685,000+ customers.  As a leading service commerce platform, our modern digital and mobile applications create predictable, informed, and convenient experiences between customers and their service professionals in the areas of Home & Field Services, Health Services, and Fitness & Wellness industries.

We are building an extraordinary company and looking for talented, energetic, and motivated people to join our team. You can learn more about our Company, Culture and Values here: https://careers.evercommerce.com/us/en

We are looking for a Data Engineer to focus on our Mobile Solutions Org (Invoice Simple & Joist).

Invoice Simple is the leading invoice app for contractors, freelancers, owner-operators, creatives, and other small business owners in any industry and in any country. Invoice Simple is the easiest way to invoice your customers and get paid. Joist is the #1 app built exclusively for contractors. Our easy-to-use mobile and web applications give home pros the ability to quickly create professional estimates and invoices, accept payments, and manage their projects from anywhere.

The Data Engineer will develop and maintain scalable data architectures and pipelines, working closely with analytics, growth, and engineering teams to shape long-term data strategies. You'll implement data governance practices to ensure data accuracy and accessibility and collaborate with business analytics teams to improve data models and support data-driven decision making.

Responsibilities:

• Work closely with analytics, growth engagement, other data stakeholders and engineering teams to develop strategy for long term data platform architecture.
• Create and maintain scalable and reliable data architectures; develop and manage data pipelines to support the ingestion, transformation, and integration of data from various sources.
• Administer and optimize databases, including Google BigQuery and AWS Redshift, to ensure high performance and reliability.
• Implement standardized data governance practices, including data cleansing, normalization, and documentation, to ensure application data is accurate, complete, current, understandable, and accessible.
• Compile requirements and specifications, and coordinate efforts with engineering and business intelligence teams to implement solutions and resolve blockers (both technical and process).
• Collaborate with business analytics teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
• Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.