Senior Data Engineer — Build Scalable Data Platforms

First American; Lorida (FL); Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k

PTO and paid sick leave

Employee stock purchase plan

Job summary

ServiceMac, a mortgage data and technology platform, seeks a Senior Data Engineer to lead design, development, and deployment of scalable data platforms. You will work across teams to optimize data delivery, maintain data quality, and enable analytics delivery at scale.

Responsibilities include building ETL pipelines, data modeling, and integrating cloud-based solutions, while embracing Agile SDLC practices and collaborating with data scientists and analysts.

Qualifications

• Bachelor's degree in Computer Science or related field.
• Experience with Agile SDLC and data-focused projects.
• Strong SQL/T-SQL, data modeling, and data warehouse skills.

Responsibilities

• Identify, design, and implement internal process improvements to automate manual tasks.
• Design, develop, code, test, and document data architectures and applications.
• Collaborate with cross-functional teams to align design with business requirements.
• Troubleshoot and resolve data issues to ensure reliability and quality.
• Recommend optimizations to improve data delivery, reliability and performance.
• Utilize cloud technologies to support scalable data platforms.

Skills

SQL

T-SQL

Data modeling

Data warehousing

ETL pipelines

Cloud computing

Agile SDLC

Analytical thinking

NoSQL databases

MongoDB

Education

Bachelor's degree in Computer Science/related field

Tools

SQL Server

MongoDB

Job description

ServiceMac, a mortgage data and technology platform, seeks a Senior Data Engineer to lead design, development, and deployment of scalable data platforms. You will work across teams to optimize data delivery, maintain data quality, and enable analytics delivery at scale.

Responsibilities include building ETL pipelines, data modeling, and integrating cloud-based solutions, while embracing Agile SDLC practices and collaborating with data scientists and analysts.