---
title: 'Sr. Data Engineer at FutureFit AI'
canonical: 'https://feeny.ai/job/sr-data-engineer-futurefit-ai-north-69g9tb1rm2kq'
type: 'job'
last_seen: '2026-09-05'
---

# Sr. Data Engineer at FutureFit AI

- **Company:** FutureFit AI
- **Location:** North, United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-31
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/futurefitai/6a073228-5daa-49d1-89a4-ff6b66be6963

## Job description

Come join our Data team!

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

If that resonates 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 FutureFit 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 Our AI-powered platform brings efficiency and insight to workforce development, replacing outdated systems and unlocking human potential at scale.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.

## YOUR ROLE

We're seeking a Sr. Data Engineer to join our team.

You will build and own the data foundation of our product: the pipelines, models, and infrastructure that turn raw labor market, skills, and occupation data into the systems that connect people to the right jobs and pathways. This is a hands-on, high-ownership role on a small team. You will design ingestion and transformation pipelines, shape how our data is modeled in the warehouse, make analytics and reporting trustworthy, and build the pipelines that feed our matching and recommendation models in production. You will partner closely with the Engineering, Product, and VP of Data & AI. In this small, nimble team, you will have wide latitude to decide how this platform gets built.

## WHAT YOU'LL OWN

- Pipelines and platform: Design, build, and operate the ingestion and transformation pipelines that bring labor market, customer, and product data into our warehouse as well as into the product — reliably, on schedule, and at growing scale.
- Data modeling and quality: Own how our core data is structured, tested, and documented, including the skills, occupation, and career taxonomies at the center of the product. Make data something the whole company can trust without asking first.
- Analytics enablement: Build the transformation layer and datasets that power internal analytics, Looker/Quicksight reporting, and the insights we deliver to customers.
- ML data infrastructure: Build and maintain the pipelines that feed our matching and recommendation models, and partner with Engineering and Data Scientists to get models deployed, monitored, and improved in production.

Where This Role Can Go

This role starts with the platform, but it doesn't end there. The person who builds our data foundation is the person best positioned to shape what we build on top of it — whether that's moving deeper into modeling and the matching systems your pipelines feed, or into the analytical work that turns our data into insight for customers. We'd rather hire someone with a clear direction they want to grow in than someone who wants to stay in one lane, and we'll build the path with you.

## REQUIRED EXPERIENCE

- Strong data engineering experience (roughly 4+ years) designing and operating production ETL/ELT pipelines that other people and systems depend on
- Fluency in Python and SQL, with real depth in SQL — experience in modeling data in a warehouse/data lake, not simply querying it
- Hands-on experience with a modern orchestration and transformation stack (Airflow, dbt, or close equivalents) and with cloud data warehouses
- Experience integrating data from varied external sources — third-party data providers, APIs, flat file feeds — including handling schema changes, unreliable delivery, and inconsistent quality from upstream
- Comfort working with large, messy, inconsistently structured data, and sound judgment about when to clean it, when to model around it, and when to push back on the source
- A builder's instinct for reliability: testing, monitoring, and debugging your own pipelines rather than waiting for someone to report the breakage
- Clear communication: you can explain a data model and its tradeoffs to a non-technical audience

## BONUS POINTS

- Experience with jobs-and-skills, HR, or labor market data, or with skills/occupation frameworks such as O*NET or ESCO
- Experience with hierarchical or taxonomic data — ontologies, classification systems, entity resolution across messy sources
- Experience building data infrastructure for ML: feature pipelines, model deployment and monitoring, or tooling like SageMaker
- Publications, talks, blog posts, or open source work showing your depth in data engineering

## OUR TECH STACK FOR DATA

- Languages: Python, SQL
- Orchestration and transformation: Airflow, dbt
- Storage and warehousing: PostgreSQL, Redshift, MongoDB
- Cloud: AWS
- Visualization and reporting: Looker, Quicksight
- Machine learning and NLP: scikit-learn, modern NLP and embedding tooling, AWS SageMaker

## YOUR EDUCATION

Your alma mater isn't our focus. Your grit, hunger, and drive are. If you learn continuously, tackle challenges head-on, and know your strengths and gaps intimately, you're our person.

## LOCATION

[CA/US Remote] We are open to candidates living anywhere in Canada or the US. For candidates living in Toronto, our office is conveniently located at 325 Front St West (a short walk from Union Station).

## TRAVEL EXPECTATIONS

Although this role is remote, you may be expected to travel up to once per quarter for off-sites and team gatherings.

## COMPENSATION

The base salary range for this role is USD $125,000 to $155,000 for candidates based in the United States and CAD $125,000 to $160,000 for candidates based in Canada, regardless of location. As a remote-first company, we benchmark compensation to the national market for comparable roles at institutionally-funded startups, targeting the middle of the market. Bands are designed for the lifecycle of the role — where you enter the band reflects your applied experience and other criteria established by the hiring committee, with room to grow through the band as you grow in the role.

## HIRING JOURNEY

At FutureFit AI, our hiring process is designed to help you assess whether this role and our culture are the right fit based on your unique skills, mindset, and experiences. We move fast and work with intensity, so we want you to get a real sense of that from the start.

Each journey includes a mix of interviews and a performance challenge. For this role, that might look like:

1. Online Application
2. Initial Screen with Director of People & Culture
3. Interview with Hiring Manager
4. Performance Challenge
5. Final 1:1 Interviews
6. Final Decision

Generally, this entire process takes around 6 weeks, although the timing can vary due to specific candidate circumstances.

READY TO SHAPE THE FUTURE OF WORK?

At FutureFit AI, we're not just building a company—we're transforming how talent and opportunity connect. Join our driven team united by a commitment to job seekers and the workforce ecosystems we serve.

## COMPANY SNAPSHOT:

- Team: 30-50 across US and Canada (hubs in NYC and Toronto)
- Customers: Workforce development agencies and intermediaries, government agencies, employers
- Industry: SaaS/AI technology
- Funding: Bootstrapped 0-1, then raised funding led by JP Morgan
- Structure: Growth, Customer Success, Product, Engineering, Data, People & Culture, Finance & Operations

## OUR CORE PRINCIPLES

- Be Curious
- Drive to Outcomes
- Raise the Bar
- Speed Matters
- Own It
- We Over Me

## USE OF AI IN HIRING

At FutureFit, we use artificial intelligence (AI) tools to make our hiring process more efficient, consistent, and equitable—never to replace human judgment. We use AI in the following ways:

- Screening support: AI may help us compare applications against the skills and experience required for a specific role. These skills are defined by the hiring team for each position. A human reviews each application, with the AI assessment as just one input.
- Interview support: In some interviews, we may use an AI notetaker to summarize the discussion so interviewers can focus on being present in the conversation.
- Insights, not decisions: AI provides data points to support our team’s evaluation but does not make or recommend final hiring decisions. Every hiring decision is made by people.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request an accommodation.

© FutureFit AI All rights reserved, we are proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, gender identity, sexual orientation, age, disability, veteran status, or other applicable legally protected characteristics. We encourage people of different backgrounds, experiences, abilities, and perspectives to apply.

## About FutureFit AI

## Company Overview
- **One-liner**: FutureFit AI provides an AI-powered workforce development platform that connects people to careers, employers to talent, and workforce partners to integrated, intelligent workforce systems.
- **Entity Type**: Private (Seed stage; total funding of $5.4M)
- **Headquarters**: New York City, United States (with dual hubs in Toronto, Canada)
- **Founded**: Year not explicitly stated in available data (active since at least 2018, based on a grant round)
- **Founders**: Terralynn Forsyth (co-founder, left March 2026) – other founders not publicly listed.

## Core Business
- **Primary industry/industries**: AI-powered workforce development, human resources technology, government workforce systems, economic development.
- **Target customers**: B2B – Fortune 500 companies, governments, workforce development organizations, and economic development agencies. Also serves enterprises (employee upskilling/reskilling) and job seekers indirectly through partners.
- **Mission or purpose statement**: “To empower individuals, employers, and communities to thrive in our new world of work by building better pathways between people, skills, and opportunities.”

## Products & Services
- **Pathways Platform**: An AI-powered solution for governments and workforce organizations that provides personalized career navigation, skills-based path recommendations, and tailored roadmaps to quality learning and jobs. Type: SaaS platform.
- **Career Copilot**: An AI career assistant that adapts to individual career needs, the world of work, and organizational context. Type: SaaS, AI assistant.
- **Labor Exchange**: The only AI-powered labor exchange built for the public workforce system, connecting job seekers to employers. Type: SaaS platform.
- **Career Navigation**: Identifies an individual’s starting point, recommends skills-based career paths, and offers a tailored roadmap to learning and careers. Type: SaaS module.
- **Talent Pipelines for Industry**: Creates personalized pathways in a region to connect local talent to key growth industries. Type: SaaS module.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total Funding – $5,360,544 (as of most recent data). Seed round of $4.6M (March 2022) led by Acumen and JPMorgan Chase. Additional seed rounds from Achieve Partners and others.
- **Notable Investors/Partners**: Acumen, JPMorgan Chase, Achieve Partners. Also recognized by Wall Street Journal, World Economic Forum, US Government, UK Government, and Nesta.
- **Growth Signals**: Platform ingests data from 350 million talent profiles, 80,000 job titles, and 30,000 skills. The company has 29 employees (as of mid-2026) but saw a -21.1% YoY headcount decline. However, job postings have increased +200% YoY, indicating renewed hiring. Dual hub offices in Toronto and New York.

## Competitive Advantages
- **Proprietary Labor Market Data**: Uses real-time global labor market intelligence and proprietary algorithms designed to avoid perpetuating biases.
- **Scale of Data**: 350M+ talent profiles, 50M+ users supported, 100K+ talent pipelines.
- **Focus on Equity and Access**: Emphasis on equitable, accessible, and responsible AI for underserved communities.
- **End-to-End Workforce Solution**: Covers career navigation, reskilling, job placement, and labor exchange in a single platform, differentiating from point-solution competitors.

## Strategic Focus
- Expanding partnerships with governments and workforce development organizations (e.g., US and UK government adoption).
- Scaling the Career Copilot product for enterprise clients seeking internal talent mobility.
- Building out the Labor Exchange for public workforce systems.
- Current active job postings (6 roles) in engineering, data science, brand, finance, and operations suggest a focus on platform and product team growth.

## Why Work Here
- **Culture Highlights**: Values-driven mission (“connect more people to better jobs, faster and cheaper”), founder access, high velocity/high intensity environment.
- **Remote/Hybrid/Office Policy**: Flexible, trust-based scheduling – not fully remote but dual hubs in Toronto and New York (offices in both cities). Described as “flexible lifestyle” with “work-life harmony”.
- **Notable Perks**: Unlimited paid time off, dedicated professional development budget, 401k (US only), technology reimbursement program, comprehensive healthcare.
- **Engineering Culture**: Active hiring for senior backend and data science roles; emphasizes intentional hiring process with performance challenges. Engineering team is 10 people (33% of headcount).

## Sources
1. [futurefit.ai/careers](https://www.futurefit.ai/careers)
2. [futurefit.ai/about-us](https://www.futurefit.ai/about-us)
3. [futurefit.ai/](https://www.futurefit.ai/)
4. [jobs.ashbyhq.com/futurefitai](https://jobs.ashbyhq.com/futurefitai)
5. [linkedin.com/company/futurefit-ai](https://www.linkedin.com/company/futurefit-ai)

## Other roles at FutureFit AI

- [Brand & Marketing Manager](https://feeny.ai/job/brand-marketing-manager-futurefit-ai-united-states-mc7jz0y19p5w) — United States
- [Software Engineer](https://feeny.ai/job/software-engineer-futurefit-ai-north-sq2ybd0pck0v) — North, United States
- [Director of Product](https://feeny.ai/job/director-of-product-futurefit-ai-north-fr9f9et06k97) — North, United States
- [Technical Project Manager](https://feeny.ai/job/technical-project-manager-futurefit-ai-united-states-sac82aqw0tyz) — United States
- [Strategic Account Manager](https://feeny.ai/job/strategic-account-manager-futurefit-ai-united-states-3vqmzapfhcaz) — United States
- [ML Ops Lead](https://feeny.ai/job/ml-ops-lead-futurefit-ai-united-states-nx2a4tehztbc) — United States
- [Workforce Sales Lead](https://feeny.ai/job/workforce-sales-lead-futurefit-ai-united-states-mzzc54qzwc2f) — United States
- [Senior Technical Product Manager](https://feeny.ai/job/senior-technical-product-manager-futurefit-ai-north-q1h2jvv9qsdx) — North, United States
- [Lead Product Designer](https://feeny.ai/job/lead-product-designer-futurefit-ai-north-zr5n5r8d9jvz) — North, United States
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