Sr. Data Engineer

Location

Toronto

Full time

Hybrid

Data

High velocity, high intensity, high trust, high bar, high impact, and a will to win.

If those words resonate deeply with you, this could be your next career move. We're seeking someone who leads with humility, pursues audacious goals, and is motivated by meaningful impact on people and the world.

At Future Fit AI, our core mission is to help more people get to better jobs faster and cheaper, with a specific focus on those facing barriers to opportunity. Our work helps resolve the growing issue of economic inequality, ensuring that no one is left behind in the future of work. Our AI-powered platform brings efficiency and insight to workforce development, replacing outdated systems and unlocking human potential at scale.

Ready to make an impact? Apply today.

Important note:

Data shows that men typically apply when meeting 3/10 requirements, while women often wait until it's 10/10. We encourage you to apply if you see a strong (not necessarily perfect) fit.

We’re seeking a Sr. Data Engineer to join our team. You will play a key role in evolving our core data platform which includes data pipelines, machine learning models, and various databases. Combine technical data expertise with strong business intuition to build a foundation of reliable data. Your expertise in data engineering will help us build strong, performant pipelines.

• Our data infrastructure: Building and maintaining the infrastructure that powers our data platform including pipeline orchestration, data warehousing, and machine learning
• Data solutions that drive the product: Develop and maintain data solutions alongside a team of data scientists that enable our product to function at scale and with quality
• Data governance and quality: Uphold best practices in data governance, ensuring accuracy, accessibility, and compliance across data systems
• Cross-platform data sourcing: Surface and integrate data from across the platform to address real business needs in product, engineering, and GTM.
• Evolving core data models: Continuously evolve our foundational models by identifying and incorporating new, high-value data sources.

30 days:

• Onboarding/Learning Stack/Product
• Learn who are customers are, what their problems are, and how we can leverage data to support them
• Gain an understanding of our core data entities and how they drive the product
• Contribute to our core data pipelines by adding of data quality and data enrichment layers

60 days:

• Work with data scientists to develop datasets and processes that streamline complex workflows
• Contribute to and own aspects of our data catalog by defining and maintaining metrics, dimensions, and lineage
• Support surrounding teams in getting value out of our platform’s data through regular reporting and analysis

90 days:

• Own and automate reporting workflows from data ingestion all the way to building out dashboards and tools
• Independently gather reporting and insights requirements from stakeholders
• Present findings to stakeholders and provide recommendations to drive us towards making data-driven decisions

• Proven ability to translate ambiguous business problems into clear, actionable insights
• Hands-on experience using SQL and Python for analysis in a professional setting
• Experience building and maintaining data pipelines, warehouses, and infrastructure
• Strong communication skills to convey technical insights to both technical and non-technical stakeholders
• Demonstrated ownership of analytics solutions, ensuring accuracy, reliability, and business alignment
• Familiarity with data visualization tools such as Looker, Power BI, or Tableau
• Familiarity with modeling structured and unstructured data, including No
  
  SQL databases like MongoDB
• A sharp, kind, and open-minded approach, driven by both excellence and impact

• Hands-on experience with modern data tools like DBT and Airflow.
• Experience with Sage Maker or an equivalent machine learning / data science platform
• Experience in the workforce development industry

• Languages: SQL, Python
• Data orchestration and…