Best Egg

Machine Learning Data Engineer

Job description

Marlette Funding is a consumer financial technology (fintech) business on a mission to inspire financial confidence by helping people manage their day-to-day finances. We offer a digital financial platform with simple, accessible and personalized financial solutions including personal loans. credit cards and a financial health product.
The company is a fast-growing fintech that has been recognized numerous times as a best workplace. If you are energized by working in a fun organization where communication is open, everyone feels included, creativity is embraced, personal growth is encouraged, and you can make positive impact on the business, Marlette is the place for you.

Marlette celebrates diversity and equal opportunity.
We are committed to building a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better we will grow.

At Marlette, we believe everybody should have the opportunity to enjoy life. As a fast-growing fintech, we are on a mission to help our customers gain easy access to funds and reach their financial goals. Our Best Egg personal loan product has an impeccable record and stands out in the industry with its strong value proposition and overwhelmingly positive customer reviews.

Data is at the heart of everything we do. Join a Data Science team working at the cutting edge within our industry and constantly advancing our ML practice. Our Data Science team is dedicated to creating machine-learning models that power innovation and creative insights that pioneer new products and help our business reach the next level. We work on diverse projects across all business units within the company and have a direct engagement model between data scientists and business stakeholders.

Join a collaborative group of Data Scientists skilled in predictive analytics and help them to deploy and monitor real-time production-grade models in projects spanning the business from credit risk, direct marketing targeting, fraud operations, and many more! Enjoy the stability of a profitable, award-winning fintech and challenge yourself with plenty of growth and upward mobility within a data-rich environment. Be a part of a growing team using the latest tools and technologies to disrupt the industry and empower our customers to reach their financial goals.

Role highlights

    • Take ownership of a rich data environment feeding our machine learning models
    • Improve, expand, and streamline our existing data pipelines and build brand new ones to help support adaptive ML models at enterprise scale
    • Be a leader in sourcing new external data sources, and conduct feature engineering to further enrich and unlock the value of existing data sources
    • Help onboard and maintain an enterprise-grade Feature Repository to enable data streams to our models at training and inference
    • Build and maintain centralized feature pre-processing pipelines to feed the Feature Repository and our models
    • An excellent opportunity to expand your Data Engineering knowledge and experience with enterprise-grade cloud and distributed systems practices.
    • Enjoy a culture rich in learning and frequent small wins, our Data Science team is small but mighty and drives design, product decisions, and revenue wins made across the entire business.

To be successful in this role

    • At least two years of professional Data Engineering experience or work program equivalents in a relevant field
    • Experience in operationalization of Data Pipelines using AWS cloud infrastructure a must – specific experience with Snowflake, CodePipelines, Lambda, Step Functions, EventBridge, and Sagemaker a plus
    • Experience with SQL relational databases and S3 cloud storage in a production setting required – experience with Hadoop/Spark and distributed data systems a plus
    • Experience with Data Engineering in a Machine Learning context, or working with enterprise Feature Repositories (ex. AWS Feature Store, Tecton) is a big plus
    • Proficiency with API and JSON interfaces for real-time and batch ETL processing
    • Proficiency with Python and a good knowledge of Bash and Unix command-line toolkit
    • Exposure to machine learning fundamentals such as training data, models, metrics, train/serve skew
    • At least one AWS certification in a relevant area
    • A love of data, building new processes, and continuous learning
    • Demonstrated self-motivation and willingness to dive into complicated Data Engineering challenges
    • Ability to work in a fast-paced environment and strong technical communication skills
    • Enjoy a culture rich in direct communication, no politics, and continual learning - where we celebrate success and have fun too
Our Brand:
At Best Egg, we believe money should be accessible so people can reach their goals, live a fuller life, and feel pride in knowing they have taken control of their finances. For those who need extra money to achieve the progress they seek in life, Best Egg is the modern solution-minded finance provider that mixes decades of banking experience with smart technology and deep customer insight to create products designed for today’s borrower, so that people can establish a smoother financial path. The egg symbolizes protection and a fresh start.

Recruiting Agencies:
We appreciate what you do and understand how challenging it can be, however please do not send us unsolicited resumes or cold outreach to our employees, job listings or recruiting team.

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