Senior Data Engineer — Build Scalable Data Platforms

First American; Jacksonville (FL); On-site; USD 122,000 - 140,000; Full time

Job summary

First American is seeking a Senior Data Engineer to design, build, and deploy scalable data platforms for advanced analytics. You will collaborate with data scientists, analysts, and engineers to ensure reliable data delivery and governance across the data lake and data warehouse.

You will optimize ETL pipelines, model data for performance, and apply modern cloud computing techniques while adhering to Agile SDLC practices. Strong SQL skills and attention to data quality are essential.

Qualifications

• Bachelor's degree in Computer Science or related field or equivalent experience.
• 5-8 years of directly related experience.
• Experience with Agile SDLC methodology.
• Proficient with SQL and T-SQL programming.
• Experience building data/ETL pipelines and data warehouses.
• Experience with data modeling and NoSQL databases.
• Strong analytical and communication skills.
• Ability to work independently and in a team environment.

Responsibilities

• Design, develop, and deploy scalable data platforms for advanced analytics.
• Collaborate with data scientists, analysts, and engineers to ensure data reliability and governance.
• Optimize data delivery, automate processes, and improve data quality across systems.
• Troubleshoot data issues and document architectures and pipelines.

Skills

SQL / T-SQL

ETL pipelines

Data warehousing

Data modeling

Cloud computing

Agile SDLC

Analytical skills

Communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

SQL Server

MongoDB

NoSQL databases

Job description

First American is seeking a Senior Data Engineer to design, build, and deploy scalable data platforms for advanced analytics. You will collaborate with data scientists, analysts, and engineers to ensure reliable data delivery and governance across the data lake and data warehouse.

You will optimize ETL pipelines, model data for performance, and apply modern cloud computing techniques while adhering to Agile SDLC practices. Strong SQL skills and attention to data quality are essential.