Senior Data Engineer at Valon Mortgage – Remote Data Engineering Job
Valon Mortgage has advertised a Senior Data Engineer position for an experienced professional interested in building and scaling modern data infrastructure. The role focuses on data pipelines, cloud data warehouses, data transformation, performance optimization, and reliable analytics systems.
This opportunity may suit a senior data engineer who enjoys taking ownership of technical infrastructure, improving the reliability of data platforms, and helping a growing financial technology company make better use of its data.
Job Overview
Job Title: Senior Data Engineer
Company: Valon Mortgage
Employment Type: Full-time
Work Arrangement: Remote; geographical eligibility must be confirmed
Experience Level: Senior
Salary: Competitive; exact salary not disclosed in the listing
Application Deadline: No confirmed deadline published
Application Status: Verify availability on the employer's careers page before applying.
About Valon Mortgage
Valon is a financial technology company working to modernize mortgage servicing and consumer lending. Its technology-focused approach aims to make the mortgage experience more transparent, efficient, and manageable for homeowners, lenders, and investors.
The company develops software and operational systems designed to improve mortgage-related processes, with an emphasis on automation, compliance, and continuous improvement. Its work combines technology with the practical requirements of operating in a regulated financial services environment.
For a data engineering professional, this creates an opportunity to work on infrastructure that supports business operations, reporting, analytics, and decisions involving complex financial data.
About the Senior Data Engineer Role
The Senior Data Engineer will be responsible for managing and improving Valon's core data infrastructure. The role combines hands-on engineering with technical planning, requiring someone who can identify weaknesses in existing systems, build reliable pipelines, and prepare the data platform for future growth.
The successful candidate will work closely with analytics, platform, and product teams to ensure that data is accessible, accurate, secure, and efficient to process. The position also involves establishing monitoring systems and practices that help the broader data team work effectively.
This is a role for someone who can take ownership of technical problems, make informed decisions, and balance immediate engineering needs with long-term infrastructure improvements.
Key Responsibilities
- Manage data infrastructure: Maintain and optimize the company's data platform for performance, reliability, scalability, and cost efficiency.
- Build scalable architectures: Design and improve multi-tenant data systems that can support a growing software-as-a-service business.
- Develop ingestion pipelines: Create and maintain custom pipelines for bringing data into the platform when existing integration tools are insufficient.
- Improve data warehouses: Refine warehouse architecture, data models, schemas, and query performance to reduce unnecessary complexity and improve efficiency.
- Optimize data transformations: Identify performance bottlenecks and improve transformation jobs to make them faster and more cost-effective.
- Establish monitoring: Develop or integrate tools that track pipeline health, data freshness, latency, schema changes, and potential data quality problems.
- Lead infrastructure improvements: Plan and execute migrations while protecting data integrity and minimizing disruption.
- Support analytics: Collaborate with analysts and other data professionals to improve access to reliable data, documentation, and development tools.
- Provide technical leadership: Share best practices, mentor colleagues, and help the data team improve the speed and quality of its work.
- Plan for future growth: Contribute to a long-term infrastructure roadmap that anticipates increasing data volumes and business complexity.
Eligibility and Requirements
According to the advertised job description, applicants should have the following qualifications and experience:
- At least four years of data engineering experience building, optimizing, and scaling data platforms.
- At least two years of experience working in an early-stage or mid-stage startup environment.
- Strong experience with dbt or comparable data transformation tools.
- Experience working with data warehouses, data marts, and data lakes.
- Advanced SQL skills, including query optimization and performance troubleshooting.
- Ability to write scripts in Python or a similar programming language.
- Experience working with cloud data warehouses and cloud computing environments.
- Understanding of data monitoring, reliability, observability, and data quality practices.
- Experience managing data integration tools such as Fivetran or Stitch, alongside custom ingestion pipelines.
- Experience optimizing business intelligence tools and managing access permissions; Looker experience is an advantage.
- Strong prioritization, communication, problem-solving, and stakeholder-management skills.
- An understanding of the needs of data analysts, data scientists, and analytics teams.
Experience with Google Cloud Platform and BigQuery is listed as an advantage. Candidates who can explain how they have improved data reliability, reduced processing costs, or scaled infrastructure will be well positioned to demonstrate their suitability.
Salary and Benefits
The listing describes the compensation as competitive but does not provide a confirmed salary range. Applicants should therefore check the official application page for current compensation details.
The advertised benefits include:
- Competitive compensation.
- A 401(k) retirement plan.
- Medical, dental, and vision benefits.
- Paid time off, sick days, and company holidays.
- Company orientation and professional development opportunities.
- Regular performance reviews and feedback.
- Paid parental bonding leave.
Important: Some benefits, including retirement and health coverage, may depend on the employee's country, employment classification, and eligibility. Applicants outside the United States should confirm whether the position can legally be performed from their location and which benefits would apply.
Is This a Worldwide Remote Job?
Although Remote OK categorizes the vacancy as probably worldwide, that label should not be treated as confirmation that applicants can work from every country. Other job listings for this position have identified the United States as the eligible location.
Applicants in Nigeria and other countries should confirm geographical eligibility directly with Valon before spending time on an application. A role described as remote may still have country-specific hiring, payroll, tax, or work-authorization restrictions.
How to Apply
First, confirm that the vacancy is still open. The Remote OK listing is several months old, and the role was not clearly visible on Valon's current careers page when this article was prepared. The direct application page may also have changed.
If the application page is unavailable or the position is no longer accepting applications, visit the company's official careers website to review current openings:
Before applying, prepare an updated CV highlighting your data engineering experience, SQL and Python skills, cloud data warehouse knowledge, pipeline development, and measurable infrastructure improvements. Include relevant projects that demonstrate your ability to solve complex data problems.
Valon states that recruitment emails should come from addresses ending in @valon.com. Never pay an application or recruitment fee, and be cautious if someone requests sensitive personal information unusually early in the hiring process.
Final Thoughts
The Senior Data Engineer position is a potentially interesting opportunity for experienced engineers who want to work on scalable data infrastructure in financial technology. The advertised responsibilities combine technical ownership, data reliability, cloud platforms, and collaboration with analytics teams.
However, because the listing is several months old and the geographical restrictions are not fully clear, verify the vacancy's current status and location requirements through Valon's official careers website before applying.
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