Who We Are

Join a team that puts its People First! First American's National Production Services division provides global title and escrow production support across all channels within First American Title including the Mortgage Services, Commercial, Direct, and Agency divisions. Since 1889, First American (NYSE: FAF) has held an unwavering belief in its people. They are passionate about what they do, and we are equally passionate about fostering an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. 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. For more information, please visit www.careers.firstam.com.

What We Do

The Data Engineer is responsible for the design, development, optimization, and deployment of scalable data platforms and pipelines to support advanced analytics and enterprise data processing. This role focuses on building reliable data integration and transformation solutions that enable a robust and growing data ecosystem.

The Data Engineer collaborates closely with cross-functional teams, including software developers, database architects, data analysts, and data scientists, to deliver high-quality, scalable, secure, and efficient data solutions aligned with business objectives.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines and data processing frameworks
• Build and support big data solutions using Python, PySpark, Spark SQL, and SQL, leveraging platforms such as Databricks
• Develop data integration workflows using modern ETL tools
• Design and manage graph database solutions using Neo4j
• Develop and optimize database objects such as stored procedures, views, and materialized views
• Implement CI/CD pipelines for automated build, testing, deployment, and monitoring
• Support DevOps and release management through version control and automation tools
• Work with cloud-based data platforms in AWS and Azure environments
• Automate workflows and improve data delivery architecture for scalability and performance
• Perform troubleshooting, root-cause analysis, and resolve data quality issues
• Ensure data accuracy and consistency through testing and validation processes
• Participate in Agile SDLC processes including sprint planning, development, and deployment
• Collaborate with business stakeholders to gather requirements and deliver data solutions
• Provide production support, including off-hours support as required

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience)
• 3–5 years of experience in Data Engineering or a related role
• Strong experience with ETL pipelines and data warehouse solutions
• Experience with distributed data processing and cloud analytics platforms
• Experience with CI/CD implementation and deployment automation
• Experience working with AWS and Azure cloud platforms

Technical Skills

• Strong programming skills in Python
• Hands-on experience with PySpark and Spark SQL
• Experience working with Databricks
• Proficiency in SQL and T-SQL, including performance optimization
• Experience developing stored procedures, views, and materialized views
• Experience building ETL/data integration pipelines
• Familiarity with Talend (preferred)
• Experience working with Neo4j or graph databases
• Knowledge of CI/CD and DevOps tools such as Git, Azure DevOps, or GitHub Actions
• Experience with AWS and Azure cloud platforms or data services
• Strong understanding of data warehousing and big data processing concepts

Additional Skills

• Strong communication and collaboration skills
• Self-motivated with strong problem-solving abilities
• Ability to manage multiple priorities in a fast-paced environment
• Experience working in Agile development environments
• Strong focus on data quality, validation, and accuracy

This position will be accepting applications on an ongoing basis until the position is filled

Pay Range: $97,700.00 - $130,300.00 Annually

 

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 wh