This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We are seeking a Senior Analytics Engineer to take ownership of our external client reporting pipelines. This crucial role involves managing the layer of our data platform responsible for transforming raw data into reliable, structured, and performant assets for reporting, analysis, and AI initiatives. This role sits at the intersection of engineering and analytics, ensuring data is production-grade, auditable, and easily accessible across the organization.
Job Responsibility:
Scope and develop new client reports, while also maintaining and enhancing existing reporting pipelines
Collaborate with external clients and our 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 our 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
Write complex SQL queries, build dashboards, and conduct ad hoc analysis to empower operational leaders
Own and fulfill third-party audit, exam, and regulatory reporting requirements
Requirements:
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
Proven experience with core modern data stack tools like dbt and Airflow
Experience with data visualization tools (Hex, Looker, or equivalent)
Proficiency in Google Sheets/Microsoft Excel
A strong product mindset
Proven ability to solve complex problems independently and build repeatable processes around novel situations
Bachelor’s Degree or equivalent professional experience in Computer Science, Data Analytics, or a similar field
Nice to have:
Experience ideally at a mortgage servicer or financial institution
Series B–E startup experience is a plus
What we offer:
Competitive salary and 401(k) plan
Comprehensive medical, dental, & vision benefits
Company-wide orientation
Learning & development opportunities
Regular review cycles that feature 360-degree feedback
17 days paid time off, sick days, and 11 company holidays
12 weeks off for both birthing and non-birthing parents - fully paid