Senior Data Engineer, Back End Systems (Remote-CST/EST)
Remote United States Full-time Senior Data Engineering
At a glance
Senior Data Engineering role at First Am. Remote, United States · full-time · $121,980–$130,525 base.
SalaryStated by First Am
$121,980 – $130,525
Base salary for this role, in USD per year, as published in the posting.
RoleData Engineering
SenioritySenior
LocationUnited States
WorkplaceRemote
EmploymentFull-time
Base pay$121,980–$130,525
PostedNov 10, 2026
Role brief
remoteroles summary, based on the employer's posting.
What you'll do
- Build and maintain back-end applications, scheduled jobs, and data connections with SQL Server, C#/.NET, and Python
- Create T-SQL procedures and data models, then tune database performance through query analysis and indexing
- Develop data pipelines with validation, logging, retries, and recovery steps that support safe restarts and prevent duplicate loads
- Trace production failures across code, databases, scheduled work, APIs, and file transfers to find and fix root causes
- Take changes from design through testing, release, rollback planning, and production checks, while documenting support needs
What you bring
- A computer science degree or related education, or an equivalent mix of schooling and experience
- Five to eight years building or supporting back-end software, database solutions, or automated data processing
- Strong SQL Server and T-SQL skills, plus production programming experience in C#/.NET or Python
- Experience creating REST integrations and automated pipelines, including handling data formats, dependencies, failed runs, and recovery
- Experience with Git, reviews, automated tests, CI/CD, and Azure services used for hosting, storage, or integration
Who this fits
This is a hands-on senior engineering role spanning application development, databases, and production operations, including systems with sparse documentation. You’ll work with developers, database administrators, analysts, and business partners, and may need to support production outside regular hours. The role is remote in the United States, with CST/EST indicated in the title.
From the employer
Who We Are
ServiceMac is a new sub-servicing entity backed by some of the leading practitioners of the mortgage servicing industry. ServiceMac is focused on providing superior technology, products, and services for the mortgage and real estate industries backed by highly personalized service and support. Through continuous innovation and acquisition, our offerings comprise of personalized solutions that span the mortgage continuum and enhance security, compliance, customer satisfaction, and profitability. Our inclusive, people-first culture has earned our company numerous accolades, including being named to the Fortune 100 Best Companies to Work For® list for eleven consecutive years. We have also earned awards as a best place to work for women, diversity and LGBTQ+ employees, and have been included on more than 50 regional best places to work lists. First American will always strive to be a great place to work, for all.What We Do
The Senior Data Engineer designs, builds, and supports the back-end systems that move and process ServiceMac’s operational data. This hands-on role develops SQL database solutions, applications, system integrations, and automated data pipelines using SQL Server, C#/.NET, Python, and Azure.The engineer owns solutions from technical design through testing, deployment, monitoring, and production support. This role requires someone who can investigate unfamiliar systems, identify root causes, and verify that changes produce the expected results.
Works with application developers, database administrators, analysts, and business partners to deliver reliable, secure, and maintainable systems.
How you’ll contribute
- Design, develop, and maintain back-end applications, automated jobs, and data integrations using SQL Server, C#/.NET, and Python.
- Develop and optimize T-SQL stored procedures, database schemas, and data processing logic.
- Build integrations that exchange data through application programming interfaces, databases, and files.
- Develop extract, transform, and load pipelines with data validation, logging, error handling, retry logic, and recovery procedures.
- Design processing workflows that prevent duplicate loads and support safe restarts after failures.
- Investigate issues across application code, SQL databases, scheduled jobs, APIs, and file transfers to identify and resolve root causes.
- Improve database and application performance through execution plan analysis, indexing, concurrency management, and code optimization.
- Maintain and modernize existing systems while building new automation and integrations.
- Write automated tests and reconcile source and target data to verify completeness and accuracy.
- Own changes through impact analysis, implementation, testing, deployment, rollback planning, and production verification.
- Use source control, code reviews, and controlled release practices to maintain code quality and reduce deployment risk.
- Translate business requirements into technical designs and document system dependencies, configuration, and support procedures.
- Use AI-assisted development tools where appropriate for development, troubleshooting, testing, and documentation. Review and validate generated output.
- Support production systems outside normal work hours when business needs require it.
What you’ll bring
- Bachelor’s degree in Computer Science or a related field, or an equivalent combination of education and experience.
- Five to eight years of relevant experience developing and supporting back-end applications, database solutions, or automated data processing systems.
- Strong SQL Server and T-SQL development skills, including stored procedures, transactions, indexing, and query performance tuning.
- Hands-on programming experience with C#/.NET or Python, including building and maintaining production applications.
- Experience developing system integrations using REST APIs, authentication, and structured data formats such as JSON.
- Experience building automated data pipelines and managing dependencies, incremental loads, failures, and recovery.
- Understanding of relational data modeling, data integrity, and database concurrency.
- Experience troubleshooting production systems using application logs, database diagnostics, and monitoring tools.
- Ability to work across application development, database engineering, and production operations, including systems with limited documentation.
- Experience with Git, code reviews, automated testing, and continuous integration and deployment.
- Working knowledge of Azure services used for application hosting, data storage, or integration.
- Experience working within an Agile software development lifecycle.
- Strong analytical and problem-solving skills, with attention to data accuracy and operational reliability.
- Clear written and verbal communication skills, including technical documentation.
- Ability to work independently, collaborate across teams, and manage competing priorities.
Preferred experience
- Practical experience using AI-assisted development tools such as OpenAI Codex, Cursor, or Claude for coding, SQL development, troubleshooting, testing, or documentation.
- Ability to provide AI tools with clear technical context, critically review generated code, and verify correctness, security, and operational impact.
- Experience with Windows-based automation, PowerShell, and scheduled job operations.
- Experience with financial services or mortgage servicing systems.
This hiring range is a reasonable estimate of the base pay range for this position at the time of posting. Pay is based on a number of factors which may include job-related knowledge, skills, experience, business requirements and geographic location.