Archived listing. The details below describe a past opening.
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 is a data expert and plays a key role in the development and deployment of innovative big data platforms for advanced analytics and data processing. Supports building scalable and effective solutions using modern technology stack to grow and leverage the company’s vast data assets. Works with functional teams and supports software developers, database architects, data analysts, and data scientists on data initiatives and ensures that optimal data delivery architecture is consistent throughout ongoing projects.HOW YOU’LL CONTRIBUTE
- Viewed as a data expert; drives innovation and plays a key role in the department. Participates in highly visible initiatives that have broad impact.
- Identify, design, and implement internal process improvements: automate manual processes, optimize data delivery, re-design infrastructure for greater scalability.
- Design, develop, code, test, and document architectures and applications.
- Work closely with team members and cross-functional teams to ensure design/architecture/deliverables support business requirements and align with best-practices.
- Troubleshoot and resolve a wide range of data issues.
- Makes innovative recommendations to improve data reliability, efficiency and quality.
- Required to perform duties outside of normal work hours based on business needs.
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WHAT YOU’LL BRING
- Bachelor's degree in Computer Science/related field or equivalent combination of education and experience
- 5-8 years of directly related experience
- Experience working in Agile SDLC methodology
- Proficient with SQL and T-SQL programming skills
- Working experience building data/ETL pipeline and data warehouse
- Demonstrated expertise in data modeling, database maintenance, monitoring and performance tuning on SQL Server, MongoDB or other NoSQL databases
- Exceptional analytical skills analyzing large and complex data sets
- Perform thorough testing and data validation to ensure the accuracy of data transformations
- Strong written and verbal communication skills, with precise documentation
- Self-driven team player with ability to work independently and multi-task
- Analytical, creative thinker and innovative problem solver
- Working knowledge/proficient in modern cloud computing technology
What We Offer By choice, we don’t simply accept individuality – we embrace it, we support it, and we thrive on it! Our People First culture is inclusive for all employees - not just because it's the right thing to do, but because it's the key to our success. We are proud to foster an authentic and inclusive workplace For All. You are free and encouraged to bring your entire, unique self to work. First American is an equal opportunity employer in every sense of the term.Based on eligibility, First American offers a comprehensive benefits package including medical, dental, vision, 401k, PTO/paid sick leave and other great benefits like an employee stock purchase plan.
Pay Range: $117,500.00 - $156,700.00 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 which may include job-related knowledge, skills, experience, business requirements and geographic location.