Senior Data Engineer

First American

. Drive innovation and play a key role in the department .

Posted 10/28/2026full-timeRemote • United StatesSenior💰 $121,980 - $130,525 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing data architectures and applications, with a strong focus on process improvements and automation. Proficient in SQL, data modeling, and cloud computing technologies to support advanced analytics and data processing.

Highest-signal resume keywords

SQL ProgrammingData ModelingETL Pipeline DevelopmentAgile SDLC MethodologyCloud Computing Technology

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLT-SQLData WarehouseData PipelineData ValidationPerformance TuningDatabase MaintenanceData AnalysisAutomationProcess Improvement

Soft Skills

Analytical SkillsWritten CommunicationVerbal CommunicationIndependent WorkMulti-tasking

Tools & Technologies

SQL ServerMongoDBNoSQL DatabasesBig Data PlatformsCloud Computing

Industry Keywords

Data Delivery ArchitectureData ReliabilityData EfficiencyData QualityInfrastructure Scalability

Tech Stack

Tools & technologies

CloudETLMongoDBNoSQLSDLCSQL

About the role

Key responsibilities & impact

Drive innovation and play a key role in the department
Participate in highly visible initiatives with broad impact
Identify, design, and implement internal process improvements
Automate manual processes and optimize data delivery
Re-design infrastructure for greater scalability
Design, develop, code, test, and document architectures and applications
Collaborate with team members and cross-functional teams to align designs, architectures, and deliverables with business requirements and best practices
Troubleshoot and resolve a wide range of data issues
Recommend improvements to data reliability, efficiency, and quality
Support development and deployment of big data platforms for advanced analytics and data processing
Ensure optimal data delivery architecture across ongoing projects

Requirements

What you’ll need

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
Ability to work independently and multi-task
Working knowledge/proficient in modern cloud computing technology
Required to perform duties outside of normal work hours based on business needs

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
401k
PTO/paid sick leave
Employee stock purchase plan
Inclusive, people-first workplace culture
Equal opportunity employment