Sr. Data Engineer at FutureFit AI

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Workforce Development, TechnologyIndustries

Requirements

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 NoSQL databases like MongoDB
A sharp, kind, and open-minded approach, driven by both excellence and impact

Responsibilities

Building and maintaining the infrastructure that powers our data platform including pipeline orchestration, data warehousing, and machine learning
Develop and maintain data solutions alongside a team of data scientists that enable our product to function at scale and with quality
Uphold best practices in data governance, ensuring accuracy, accessibility, and compliance across data systems
Surface and integrate data from across the platform to address real business needs in product, engineering, and GTM
Continuously evolve our foundational models by identifying and incorporating new, high-value data sources
Onboarding/Learning Stack/Product; Learn who our 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 data quality and data enrichment layers
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
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

Skills

Key technologies and capabilities for this role

Data PipelinesPipeline OrchestrationData WarehousingMachine LearningData EngineeringData GovernanceData QualityETL

Questions & Answers

Common questions about this position

Is this position remote or hybrid?

The position is hybrid.

What is the salary range for this Sr. Data Engineer role?

This information is not specified in the job description.

What key skills are required for the Sr. Data Engineer position?

Key skills include expertise in data engineering for building pipelines, data warehousing, pipeline orchestration, machine learning infrastructure, data governance, and integrating data sources.

What is the company culture like at FutureFit AI?

The culture is high velocity, high intensity, high trust, high bar, high impact, with a will to win; they value leaders with humility who pursue audacious goals and are motivated by meaningful impact.

What makes a strong candidate for this role, and any application tips?

A strong candidate has a strong fit with the requirements, even if not perfect; the company encourages applying if you meet a good portion of qualifications, noting that men often apply at 3/10 while women wait for 10/10.

FutureFit AI

AI-powered career guidance and navigation tool

About FutureFit AI

FutureFit AI offers an AI-powered tool that helps individuals navigate their career paths by assessing their skills, exploring job opportunities, and outlining steps to achieve their goals. This tool is particularly useful in the changing job market, catering to those looking to transition careers and organizations supporting employee development. By analyzing labor market data, FutureFit AI provides personalized career guidance through a subscription model, partnering with educational institutions and workforce agencies. The company's goal is to transform career transitions with data-driven insights that empower users to make informed decisions.

New York City, New YorkHeadquarters

2018Year Founded

$5.2MTotal Funding

EARLY_VCCompany Stage

Data & Analytics, AI & Machine Learning, EducationIndustries

11-50Employees

Benefits

Remote Work Options

Stock Options

Risks

Competition from platforms like Pathfinders may reduce FutureFit AI's market share.

Rapid AI advancements require FutureFit AI to continuously update its platform.

Data privacy concerns could impact FutureFit AI's data collection and analysis.

Differentiation

FutureFit AI uses equity-focused algorithms for personalized career guidance.

The platform offers a GPS-like tool for career navigation, unique in the market.

FutureFit AI partners with Fortune 500 companies and governments for workforce development.

Upsides

Growing demand for AI-driven career tools boosts FutureFit AI's market potential.

Rising interest in skills-based hiring aligns with FutureFit AI's offerings.

Increased investment in reskilling initiatives could expand FutureFit AI's partnerships.

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