Senior Data Engineer
Valon Mortgage
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Compensation
Salary & market context
Salary not listed
100% below the BLS national median
BLS national median: $74,680
Requirements
Top requirements
- Qualifications 4+ years of data engineering experience successfully creating/optimizing/scaling data stacks and supporting data teams, at least 2 years in an early- to mid-stage startup Deep knowledge and experience deploying and optimizing dbt or comparable tooling Experience managing multiple types of data management systems (data warehouses, data marts, data lakes) Experience building/procuring tools and processes to monitor end-to-end data stack health Mastery of SQL from both functionality and performance perspective Fluency in writing scripts in Python or a similar language Experience working with and tuning cloud data warehouses and compute environments.
- Experience with BigQuery/GCP a plus Experience optimizing BI tool performance and managing permissions, Looker experience a plus Experience managing/tuning EL connector solutions (such as Fivetran, Stitch, etc.) and building custom ingestion pipelines Strong prioritization skills, effort vs. impact thinking, stakeholder management Ability to reason about factors/interactions/root causes outcomes across the data stack, able to back up arguments/decisions with data Deep understanding of data team workstreams and needs, ideally in the form of past experience as a data analyst/data scientist Benefits Compensation: competitive salary and 401(k) plan Health & well-being: weâll 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.
- Valon makes hiring decisions based solely on qualifications, merit, and business needs at the time.
Perks & setup
Benefits candidates care about
- Experience with BigQuery/GCP a plus Experience optimizing BI tool performance and managing permissions, Looker experience a plus Experience managing/tuning EL connector solutions (such as Fivetran, Stitch, etc.) and building custom ingestion pipelines Strong prioritization skills, effort vs. impact thinking, stakeholder management Ability to reason about factors/interactions/root causes outcomes across the data stack, able to back up arguments/decisions with data Deep understanding of data team workstreams and needs, ideally in the form of past experience as a data analyst/data scientist Benefits Compensation: competitive salary and 401(k) plan Health & well-being: weâll 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.
Why candidates care
Benefits & perks
- Experience with BigQuery/GCP a plus Experience optimizing BI tool performance and managing permissions, Looker experience a plus Experience managing/tuning EL connector solutions (such as Fivetran, Stitch, etc.) and building custom ingestion pipelines Strong prioritization skills, effort vs. impact thinking, stakeholder management Ability to reason about factors/interactions/root causes outcomes across the data stack, able to back up arguments/decisions with data Deep understanding of data team workstreams and needs, ideally in the form of past experience as a data analyst/data scientist Benefits Compensation: competitive salary and 401(k) plan Health & well-being: weâll 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.
Start here
Requirements
- Qualifications 4+ years of data engineering experience successfully creating/optimizing/scaling data stacks and supporting data teams, at least 2 years in an early- to mid-stage startup Deep knowledge and experience deploying and optimizing dbt or comparable tooling Experience managing multiple types of data management systems (data warehouses, data marts, data lakes) Experience building/procuring tools and processes to monitor end-to-end data stack health Mastery of SQL from both functionality and performance perspective Fluency in writing scripts in Python or a similar language Experience working with and tuning cloud data warehouses and compute environments.
- Experience with BigQuery/GCP a plus Experience optimizing BI tool performance and managing permissions, Looker experience a plus Experience managing/tuning EL connector solutions (such as Fivetran, Stitch, etc.) and building custom ingestion pipelines Strong prioritization skills, effort vs. impact thinking, stakeholder management Ability to reason about factors/interactions/root causes outcomes across the data stack, able to back up arguments/decisions with data Deep understanding of data team workstreams and needs, ideally in the form of past experience as a data analyst/data scientist Benefits Compensation: competitive salary and 401(k) plan Health & well-being: weâll 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.
- Valon makes hiring decisions based solely on qualifications, merit, and business needs at the time.
Responsibilities
What you'll do
- About the Role We are looking for a Senior Data Engineer to own all facets of data infrastructure at Valon.
- You will be responsible for managing/optimizing our core data infrastructure, building/maintaining custom data ingestion pipelines, optimizing/implementing complex data transformations, and partnering with the analytics team to architect the optimal long-term infra strategy for Valon.
- You will be the data teamâs infrastructure quarterback, and success will mean standing up the proper tooling or processes and flexibly problem-solving to ensure the team is able to carry out its mission efficiently and seamlessly.
- Responsibilities Core Data Infrastructure & Scalability Own and optimize Valonâs core data infrastructure for performance, reliability, and cost efficiency as data volume and complexity grow.
- Design and extend multi-tenant data architectures to support a scalable SaaS model.
- Evaluate and improve warehouse design, data models, and schema strategies to minimize redundancy and maximize query performance.
Role snapshot
About the role
About the Company Valon is transforming both mortgage servicing and consumer direct lending with a technology-first approach. Backed by Andreessen Horowitz (a16z) and managing over $130 billion in loans, weâve built our platforms from the ground upânot on outdated legacy systemsâso homeowners, lenders, and investors experience greater transparency, efficiency, and care. By unifying processes into a modern, AI-native operating system, weâre leading the way in automation, compliance, and continuous improvement across our servicing and lending businesses.
Our mission is to empower every homeowner by making the mortgage experience simple, secure, and financially empowering. To achieve this, we bring together world-class engineers, servicing experts, lending professionals, and operations leaders who share a passion for improving the homeowner journey. Weâre not only reshaping what servicing and lending look like todayâweâre creating opportunities for talented people to help drive the future of the industry.
As we continue to grow, Valon is expanding its footprint across multiple states, opening the door to exciting new roles and career paths. Joining Valon means becoming part of a fast-scaling company where innovation, collaboration, and customer impact go hand in hand. Mortgage is just the beginningâweâre building the future of regulated finance, and we want you to be part of it.
We are looking for a Senior Data Engineer to own all facets of data infrastructure at Valon. You will be responsible for managing/optimizing our core data infrastructure, building/maintaining custom data ingestion pipelines, optimizing/implementing complex data transformations, and partnering with the analytics team to architect the optimal long-term infra strategy for Valon. You will be the data teamâs infrastructure quarterback, and success will mean standing up the proper tooling or processes and flexibly problem-solving to ensure the team is able to carry out its mission efficiently and seamlessly.
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