Senior Analytics Engineer

Valon; New York (NY); On-site; USD 135,000 - 180,000; Full time

Benefits offered by this job

Compensation: competitive salary and 4

Health & well-being benefits

Grow together orientation and learning

Generous time off: 17 days PTO + 11hol

Baby bonding time: 12 weeks paid

Job summary

Valon, a leading AI platform for mortgage servicing, is seeking a Senior Analytics Engineer to own client reporting data models and pipelines. You will ensure data is production‑grade, auditable, and accessible across the organization and customers, partnering with data team to improve infrastructure and reliability.

You will build analytics capabilities, produce dashboards, and support high‑stakes operations with strong SQL, Python, and modern data stack tools like dbt and Airflow, driving

Qualifications

• 7+ years in data engineering or analytics engineering at tech or financial services.
• Strong SQL; proficient Python; experience with dbt and Airflow.
• Experience building client reporting and data models for production use.
• Ability to design data contracts and observability for regulated environments.

Responsibilities

• Develop client reports and reporting pipelines with BigQuery, dbt, and Airflow.
• Design and maintain production-grade data models and analytics layers.
• Define data governance, quality, and observability practices.
• Provide SQL expertise and build dashboards with Hex or Looker for stakeholders.

Skills

SQL

Python

dbt

Airflow

BigQuery

Data Modeling

Data Governance

Education

Bachelor’s Degree in CS/Analytics

Tools

Hex

Looker

Google Sheets

Excel

Job description

About The Company

Valon is the leading AI platform for mortgage servicing, building the AI-native operating system for regulated finance. Before providing the system of record that powers the entire industry, we built and ran our own mortgage servicer on it. That gave us a real regulated environment to prove our technology could replace the mainframe systems servicers have used for decades. Carrington acquired that servicer and adopted ValonOS as its core platform, allowing us to focus entirely on scaling our SaaS platform. ValonOS is now on track to power 1 in 6 U.S. mortgages across major mortgage servicers like Newrez, Carrington, and ServiceMac. Every process on the platform is structured and programmable, enabling our AI agents to perform core servicing work, like handling payments, escrow, and homeowner questions, directly within the system's controls. We recently raised a $150 million Series D at a $2.3 billion valuation by new investor Ribbit Capital, with continued support from existing backer a16z, amongst others.

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 [e-mail] if you have any requests to verify the authenticity of an outreach. Valon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Valon makes hiring decisions based solely on qualifications, merit, and business needs at the time.

Compensation Range: $135K - $180K