Senior Data Engineer

SoLo Funds•Los Angeles, CA

112d•$150,000 - $180,000•Remote

About The Position

SoLo Funds is seeking a Senior Data Engineer to build and own its data function across the company’s financial products and ecosystem. This is a highly autonomous builder-operator role in which one professional uses AI agents as a workforce, with human judgment providing oversight. The role spans data engineering, analytics, business intelligence, risk, fraud, and data science. The engineer will design, build, and maintain production pipelines, services, models, and infrastructure that transform transaction and behavioral data from SoLo Score, SoLo Wallet, SoLo Marketplace, Borrow, and Lend into actionable business signals. They will create systems that enable agents to perform production analysis, model monitoring, pipeline maintenance, and anomaly detection at scale, while owning data quality, governance, and reliability. The role also includes monitoring lending risk and fraud in real time, evaluating SoLo Score performance and delinquency trends, developing dashboards and BI, and translating ambiguous business questions into clear, defensible answers for leadership. The engineer will partner with product and risk teams to deliver data-informed decisions quickly and will intervene when human judgment is needed.

Requirements

At least 5 years as a data or software engineer shipping production systems; experience limited to analysis or reporting is not sufficient.
Strong Python fundamentals and systems-design judgment.
Deep fluency in SQL and data warehousing.
Hands-on experience directing AI agents or LLM-based workflows in production.
A portfolio, GitHub history, or shipped systems that can be discussed in depth.
Comfort operating with high autonomy and full ownership.

Nice To Haves

Risk and fraud analytics experience in fintech, lending, or payments.
Background in credit scoring or alternative underwriting.
Track record of building evaluation or observability systems for ML or agent pipelines.
Background in consumer fintech or marketplaces.
Experience in a high-pace, high-accountability environment.

Responsibilities

Orchestrate AI agents across the data lifecycle, from ingestion and pipeline health through modeling and reporting, while owning the code and architecture they touch.
Design, build, and maintain production data pipelines, services, models, and infrastructure.
Build and refine evaluation harnesses that keep agent output accurate and auditable.
Write and review production Python and SQL for pipelines, services, and models.
Make systems-design decisions about how data infrastructure scales.
Own data quality, governance, and reliability end to end.
Monitor SoLo Score performance, default and delinquency trends, and fraud signals, intervening when human judgment is needed.
Build dashboards and business intelligence that provide a live view of marketplace health.
Partner with product and risk teams to ship data-informed decisions quickly.
Translate ambiguous business questions into clear, defensible answers for leadership.