7+ years in data engineering or analytics engineering, preferably in tech or finance
Expertise in SQL and strong proficiency in Python
Experience with dbt and Airflow as part of a modern data stack
Effective communicator with external clients and internal teams
Deep understanding of data architecture patterns and quality frameworks
Familiarity with data visualization tools like Hex or Looker
Strong problem-solving skills and a product-focused mindset
Responsibilities
Scope and develop new client reports while enhancing existing reporting pipelines
Design, build, and maintain production-grade data models using BigQuery, dbt, and Airflow
Implement data contracts and observability frameworks to ensure data quality
Write complex SQL queries and build dashboards to support operational leaders
Conduct ad hoc analysis to provide insights into business performance
Benefits
Competitive salary and 401(k) plan
Comprehensive medical, dental, and vision benefits
Learning and development opportunities with regular feedback cycles
17 days paid time off plus sick days and 11 company holidays
12 weeks fully paid baby bonding time for all parents
Full Job Description
About the Role
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.
You will own client reporting, standardize our 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.
Responsibilities
Client Reporting & Infrastructure: 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.
Data Modeling & Transformation: Design, build, and maintain the production-grade data models and analytical layers using our existing stack of BigQuery, dbt, and Airflow to ensure reliability and structure at scale.
Data Governance & Quality: 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.
Analytical Support: Write complex SQL queries, build dashboards (in tools like Hex or Looker), and conduct ad hoc analysis to empower operational leaders and provide deep root-cause insights into business performance.
Ideal Background & Qualifications
Experience: 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 (Series B-E startup experience is a plus).
Technical Stack: Expertise in SQL (required), strong proficiency in Python, and proven experience with core modern data stack tools like dbt and Airflow.
Communication: 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.
Architecture & Quality: Deep understanding of data architecture patterns (e.g. medallion architecture) and experience implementing data quality frameworks, observability tools, or data contracts at scale.
Analytical Tools: Experience with data visualization tools (Hex, Looker, or equivalent) and proficiency in Google Sheets/Microsoft Excel.
Mindset: A strong product mindset, focusing on the usability, reliability, and developer experience of the data systems you build.
Problem-Solving: Proven ability to solve complex problems independently and build repeatable processes around novel situations.
Minimum Qualifications
Bachelor's Degree or equivalent professional experience in Computer Science, Data Analytics, or a similar field.t professional experience in Computer Science, Data Analytics, or a similar field.
Benefits
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
Throughout the interview process, please remember that emails will only be from valon.com email addresses. We will never ask for any personally identifiable information during the interview process itself. Please reach out to [redacted] if you have any requests to verify the authenticity of an outreach.
