Data Engineer

Join our Engineering Team!

The Opportunity

A growing company of less than 50,  you will join a caring team of engineers, business, and product leaders; all focused on using technology to improve lives and outcomes for people going through career transitions. We care about the impact our technology can have on workers and bring deep empathy to our work.

We’re looking for an engineer ready to scale our data and ensure success in production environments: In this role, you will partner with our application engineering team to transform raw data into useful data for analytical purposes. With your strong analytical skills, ability to combine data from different sources, interest in analytics, and familiarity with several programming languages, we’ll ensure our FFAI profiles surface insights for better career recommendations for workers across the globe. 

How You’ll Fulfill Your Mission

• Partner - From exploring ways to enhance data quality and reliability, writing and automating tests, to further developing our recommender and inference systems.  You’ll be collaborating with teams of data scientists and engineers to build and maintain data systems that generate easy-to-analyze datasets that drive our core insights.
• Problem Solve - Serving as a technical leader for the business, we’ll need you to translate our data in ways that address our platform/business needs. This will require excellent communication skills since you’ll be working across various departments to understand how to best manage and scale our data
• Implement - As an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up, we’ll be relying on your expertise to move our data models into production as we make use of 350+ million data points. 

Why We Value You

• Technical. 
  • Strong expertise in Python and experience with Flask, FastAPI, OpenAPI / Swagger; some knowledge of numpy, pandas, and related technologies is an advantage.
  • Comfortable with architecture and design around various data paradigms (document stores, relational, graph) and databases (Mongo, Elastic, Postgres, etc.)
  • Experience in architecture and implementation of ETL processes, streaming data, data process orchestration (Airflow); exposure to MLOps and Machine Learning is an advantage
• Collaborative. Experienced in using different technologies to collect and map an organization’s data landscape to help decision-makers find cost savings and engineering team optimization opportunities. 
• Internally Driven. Deeply motivated by building data infrastructure to provide data-driven insights, and empower teams to deliver business value.

Benefits: We provide a generous benefits package to all of our team members, including unlimited PTO, health care, technology reimbursement, and flexible schedules.

About FutureFit AI 

FutureFit AI believes that the greatest challenge of the Future of Work is facilitating successful career transitions, and our mission is to address that challenge by using AI to transform education and economic mobility.

FutureFit AI is a growing, well-funded, company focused on using technology to improve the lives and outcomes for people going through career transitions. We bring innovation, creativity, and empathy to our work, and care deeply about the impact our technology can have on our customers and users.

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.