Senior Software Engineer, ML Data

Job Description

Job Description

Best Egg is the leading financial confidence platform that provides flexible solutions to real-life challenges for people with limited savings. We leverage real-time customer insights and data science to connect more people with the right products for their financial needs. Our offers include a growing suite of products such as personal loans, a credit card, and flexible rent, which are complemented by a suite of financial health tools to help customers make smart financial decisions and stay on track, so they can be money confident no matter what life throws at them.

Our culture and values inspire our employees and customers to embrace Best Egg. We are committed to championing a culture of inclusiveness and diversity of thought, and we focus on providing a safe, flexible, and collaborative work environment. Our employees are encouraged to engage in creative problem solving, and we promote opportunities for growth and enrichment across the organization.

If you are inspired by inspiring others, Best Egg is the place for you.

As a member of the ML Feature Platform Engineering team, you will play a key role in building and scaling the core data and feature engineering pipelines that power machine learning and AI at Best Egg. Our platform enables data scientists to quickly prototype, train, and deploy models with consistent, reliable, and high-quality features across batch, streaming, and real-time contexts. The platform leverages a modern tech stack including Python, SQL, Polars, Narwhals, Snowflake, AWS, Kubernetes, and FastAPI. Your work will directly impact the productivity of data scientists, the robustness of ML models, and the ability to innovate with new features in production.

Key Responsibilities

• Build Robust Data Pipelines : Design and implement SQL- and Python-based pipelines (using dataframes such as Polars / Narwhals) that support both backfills for training and low-latency, real-time serving.
• Feature Engineering : Collaborate with data scientists to design, build, and maintain new features from complex time series data sources, ensuring they are reusable, well-documented, and consistent across environments.
• Data Debugging & Support : Help data scientists troubleshoot complex SQL queries, debug feature outputs, and optimize queries for performance.
• Platform Reliability : Quickly diagnose and resolve platform issues spanning Python services (FastAPI), Snowflake queries, Kubernetes services, and real-time pipelines.
• Developer Experience : Deliver high-quality abstractions, tools, and libraries that simplify feature development and improve data scientist workflows.
• Performance & Scalability : Monitor, profile, and optimize data pipelines and feature services for throughput, latency, and cost efficiency.

What You'll Need to Succeed

In addition to semi-monthly salary payments, this position is also eligible for an annual incentive bonus based on individual and company performance. The yearly incentive bonus target is 20%

Best Egg 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.

Employee Benefits

Best Egg offers many additional benefits for our employees, including (but not limited to) :

program

term and long-term disability leaves, paid parental leave, and paid company

holidays

Reimbursement Accounts

assistance programs, and Health Advocate programs

fitness center reimbursements, and many more!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.