Take ownership of external client reporting pipelines.
Manage the layer of our data platform responsible for transforming raw data into reliable, structured, and performant assets for reporting, analysis, and AI initiatives.
Own client reporting, standardize data modeling practices, manage the orchestration of analytical workflows, and provide hands-on analytical support for high-stakes operational business functions, including reporting and performance management.
Scope and develop new client reports, while also maintaining and enhancing existing reporting pipelines.
Collaborate with external clients and the internal client success team to effectively manage and triage inbound requests.
Partner with Valon Technologies' data team to improve the underlying infrastructure for client reporting.
Design, build, and maintain the production-grade data models and analytical layers using existing stack of dbt Cloud and Airflow.
Partner with engineering and product teams to define and implement data contracts and observability frameworks to guarantee data quality and auditability for a regulated environment.
Write complex SQL queries, build dashboards, and conduct ad hoc analysis to empower operational leaders and provide deep root-cause insights into business performance.
Own and fulfill third-party audit, exam, and regulatory reporting requirements, managing timelines and delivering clear, defensible outputs to clients and regulators.

7+ years of combined experience in data engineering, analytics engineering, or a highly technical data analytics role, ideally at a mortgage servicer or financial institution (Series B–E startup experience is a plus).
Expertise in SQL (required), strong proficiency in Python, and proven experience with core modern data stack tools like dbt and Airflow.
Communicate effectively with external clients, clearly synthesizing their requests, establishing realistic timelines, and proactively managing expectations, including pushing back when necessary to ensure successful outcomes.
Deep understanding of data architecture patterns (e.g. medallion architecture) and experience implementing data quality frameworks, observability tools, or data contracts at scale.
Experience with data visualization tools (Hex, Looker, or equivalent) and proficiency in Google Sheets/Microsoft Excel.
A strong product mindset, focusing on the usability, reliability, and developer experience of the data systems you build.
Proven ability to solve complex problems independently and build repeatable processes around novel situations.

Compensation: competitive salary and 401(k) plan
Health & well-being: we’ll invest in your physical and mental well-being with comprehensive medical, dental, & vision benefits
Grow together: Company-wide orientation for you to successfully onboard and other learning & development opportunities, including regular review cycles that feature 360-degree feedback
Generous time off: 17 days paid time off, sick days, and 11 company holidays
Baby bonding time!: 12 weeks off for both birthing and non-birthing parents
fully paid so you can focus your energy on your newest addition

Senior Analytics Engineer, VM

Key skills