Data Engineer

Working at FORE

FORE is unlocking dormant operational data with advanced AI to diagnose operational challenges and support better performance. With close advisory from leading academic experts in Information and Operational Theory, we enable leaders across Healthcare, Private Equity, and Enterprise to understand the drivers of inefficiencies and how they can improve.

At FORE, you'll join a forward-thinking team that values innovation, efficiency, and adaptability. This role is an exceptional opportunity for someone seeking a challenging, autonomous position with significant impact. As a remote-first startup, we offer the flexibility to work from anywhere, fostering a culture of trust, collaboration and responsibility. With us, you'll have the chance to grow professionally while contributing to a company that's on the cutting edge of technology and service. FORE is an institutionally backed seed-stage company, with investor-provided offices in Los Angeles, CA.

Role Summary

As a Data Engineer at FORE, your core responsibilities will involve developing and maintaining efficient data pipelines, cleaning and processing diverse data sets, integrating predictive analytics, and generating databases to serve our reporting tools, collaborating closely with the lead engineer and CTO. You'll have the opportunity to work in a dynamic team environment, utilizing your proficiency in Python and data-related libraries to ensure data integrity and contribute to innovative client-specific projects. If you're a motivated professional with a passion for data and problem-solving and prepared to join a dynamic startup, we encourage you to apply for this role.

Responsibilities

• Develop and maintain efficient data pipelines.
• Clean and process diverse data sets, including client internal data and data from external providers.
• Address data challenges such as data inconsistency, quality issues, and complex transformations in a supportive learning environment.
• Collaborate with the lead engineer and CTO to gain an understanding of pipeline structure and data processing requirements.
• Work autonomously and collaboratively to integrate predictive analytics into pipelines.
• Prepare and format data for reporting purposes.
• Utilize GCP services such as Cloud Storage, Compute Engine, and potentially others, with foundational understanding provided.
• Develop comprehensive testing strategies to ensure data integrity and pipeline functionality.

Required Qualifications

• Bachelor’s degree in Computer Science or related field.
• 1-3 years of relevant experience.
• Proficiency in Python and its data-related libraries (primarily Pandas, also NumPy, SciPy).
• Version control using Git.
• Strong attention to processing integrity and accuracy.
• Excellent communication skills.
• Effective problem-solving abilities.
• Demonstrated ability to work independently and collaboratively.
• High attention to detail, particularly with data security best practices.

Preferred Skills

• Intuition for structuring codebases and creating modular, expandable functions.
• Basic understanding of common machine learning models and assessing the impact of data processing on these models.
• Familiarity with Google Cloud Platform and containerization technologies like Docker/Kubernetes.

Optional Opportunity for Involvement in Data Science Initiatives

If you have an interest in contributing ideas for data analysis, model selection, visualization, and innovative uses of data, leveraging your close work with the data to enhance broader team projects, there’s an opportunity for involvement in our data science.

Compensation + Location

Based on qualifications $80k-$120k + equity. The role is remote, however the team operates on Pacific Time and meets quarterly in Los Angeles, CA. Our office is always open and offers a free cafeteria and gym. Within a certain distance, travel expenses to company meetings in Los Angeles are covered by FORE.

Application + Timeline

Upon submission of your application we will do our best to review and schedule follow ups. From there, the process includes a technical assessment before a final interview. The hope is to find a great addition to our team that is prepared to join FORE immediately.

Job Type: Full-time

Pay: $80,000.00 - $120,000.00 per year

Benefits:

• Flexible schedule
• Paid time off

Compensation package:

• Bonus opportunities
• Stock options
• Yearly pay

Experience level:

• 1 year
• 2 years
• 3 years

Work Location: Remote