Senior Analytics Engineer

We are seeking a Senior Analytics Engineer to take ownership of our client reporting data models and pipelines. This crucial role involves managing the layer of our data models responsible for transforming raw data into reliable, structured, and performant assets for reporting, analysis, and AI initiatives. This role sits at the intersection of analytics and data engineering, ensuring data is production-grade, auditable, and easily accessible across the organization and our customers.

Responsibilities

Client Reporting & Infrastructure: Scope and develop new client reports, maintain and enhance existing reporting pipelines, collaborate with external clients and the internal client success team to manage and triage inbound requests, partner with Valon Technologies' data team to improve client reporting infrastructure; Data Modeling & Transformation: Design, build, and maintain production-grade data models and analytical layers using BigQuery, dbt, and Airflow; Data Governance & Quality: Partner with engineering and product teams to define and implement data contracts and observability frameworks to guarantee data quality and auditability in a regulated environment; Analytical Support: Write complex SQL queries, build dashboards (in tools like Hex or Looker), conduct ad hoc analysis, and provide root-cause insights into business performance; Own client reporting, standardize data modeling practices, manage orchestration of analytical workflows

Requirements

7+ years of combined experience in data engineering, analytics engineering, or a highly technical data analytics role, ideally at a technology company or financial institution; Expertise in SQL (required); Strong proficiency in Python; Proven experience with dbt and Airflow; Ability to communicate effectively with external clients, synthesize their requests, establish realistic timelines, and manage expectations; Deep understanding of data architecture patterns (e.g. medallion architecture); Experience implementing data quality frameworks, observability tools, or data contracts at scale; Experience with data visualization tools (Hex, Looker, or equivalent); Proficiency in Google Sheets/Microsoft Excel; Strong product mindset focused on usability, reliability, and developer experience; Proven ability to solve complex problems independently and build repeatable processes; Bachelor's Degree or equivalent professional experience in Computer Science, Data Analytics, or a similar field

Nice to have

Series B–E startup experience

Benefits

Competitive salary; 401(k) plan; Comprehensive medical, dental, and vision benefits; Company-wide orientation and learning & development opportunities; Regular review cycles with 360-degree feedback; 17 days paid time off, sick days, and 11 company holidays; 12 weeks fully paid parental leave for both birthing and non-birthing parents