Data Engineer

Job Description

Job Description

Data Engineer Application

Application Link : https : / / airtable.com / appNdx1UE6QxzUtbE / pagCTBOjs5Ffe3WRM / form

Please use link above to apply)

About Us

At FORE, we serve as a catalyst for AI adoption. We build custom AI solutions for companies in Tech, Healthcare, and Retail, expanding their utilization of untapped datasets to solve imperative business challenges in workforce and operations.

All our work is developed in close collaboration with our team of leading professors and PhDs from Stanford, Wharton, and Kellogg, helping us apply the most cutting edge methodologies to our solutions.

You’ll have the opportunity to grow with FORE while implementing impactful tools for our clients. FORE is institutionally backed, we primarily operate remotely (on PT), and meet quarterly in person at investor-provided offices in Los Angeles, CA.

We are excited to bring on someone who shares our passion for exploring new technologies, collaborating in fast-paced teams, and evolving with the ambitions of FORE.

Role Summary

As a Data Engineer, you will be the central architect for backend development projects, ensuring a comprehensive understanding of all technical aspects while collaborating closely with our Lead Engineer and CTO.

This role offers a unique opportunity to engage directly with high-performing clients, solving critical challenges with a financial impact in the tens of millions of dollars.

You will drive initiatives that enhance efficiency, leverage underutilized data, and enable our clients to adopt AI in innovative ways previously unattainable.

While you will gain exposure to transformative AI projects, your primary focus will be on developing systems that facilitate the integration of these technologies.

Key Responsibilities

Develop and maintain efficient data pipelines, addressing data challenges such as inconsistency, quality issues, and complex transformations.

Clean and process diverse data sets, including internal client data and data from external providers.

Collaborate with the lead engineer and CTO to understand pipeline structure and data processing requirements.

Utilize GCP services such as Cloud Storage and Compute Engine.

Integrate predictive analytics into data pipelines autonomously and collaboratively.

Prepare and format data for reporting purposes.

Develop comprehensive testing strategies to ensure data integrity and pipeline functionality.

Collaborate closely with the Project Manager to design and execute development sprints, drive iterative progress, and effectively integrate client feedback into ongoing projects.

Lead technical project development with a high degree of autonomy, owning key work streams and ensuring successful delivery

Required Qualifications

2-5 years of relevant experience.

Bachelor’s degree in Computer Science or a related field.

Experience working with major cloud platforms and data pipeline best practices, GCP preferred.

Proficiency in Python and its data-related libraries (Pandas, NumPy, SciPy).

Familiarity with the use of NLP to set up experiments, however deep understanding of how these models work is not required.

Experience with version control using Git.

Strong attention to processing integrity and accuracy.

Excellent communication skills.

Effective problem-solving abilities using best practices in product testing.

Demonstrated ability to work independently and collaboratively.

High attention to detail, particularly with data security best practices.

Compensation and Benefits

Salary range : $80,000 - $125,000, based on qualifications.

Potential to earn Company Equity.

Remote-first role operating on Pacific Time, with quarterly on-sites in Los Angeles, CA.

Travel expenses to company workshops in Los Angeles covered for those within a certain distance.

Application Process

We are looking for a talented Data Engineer who is ready to join our team immediately and build cutting-edge AI solutions.

If this sounds like you, we encourage you to apply! Upon submission of your application, we will review it and invite you to our first Technical Screening if appropriate.

The selection process includes a technical assessment before a final interview.