Senior Data Engineer: Big Data & Analytics Platform

First American; Fort Mill (SC); In loco; USD 122.000 - 131.000; Tempo pieno

Descrizione del lavoro

First American is seeking a Senior Data Engineer in Fort Mill, SC to lead the development and deployment of scalable data platforms for advanced analytics. You will collaborate with data scientists, analysts, and software engineers to enable reliable data delivery and insights across the mortgage and real estate stack.

The role emphasizes building ETL pipelines, data models, and warehousing solutions using SQL Server and MongoDB, with strong focus on data quality, testing, and documentation.

Competenze

• Experience with data modeling, data warehousing, and large-scale data sets.
• Proficient in SQL Server, MongoDB or other NoSQL databases.
• Excellent analytical and problem-solving skills.

Mansioni

• Identify, design, and implement internal process improvements: automate manual processes, optimize data delivery, redesign infrastructure for greater scalability.
• Design, develop, code, test, and document architectures and applications.
• Collaborate with cross-functional teams to ensure data solutions meet business needs.
• Troubleshoot and resolve data issues.
• Perform data validation and testing to ensure accuracy of transformations.
• Be prepared to work outside normal hours as needed.

Conoscenze

SQL

T-SQL

Data modeling

ETL pipelines

Data warehouse

MongoDB

NoSQL

Agile SDLC

Analytical thinking

Data validation

Documentation

Communication

Independent worker

Formazione

Bachelor's degree in Computer Science or related field

Strumenti

SQL Server

MongoDB

Descrizione del lavoro

First American is seeking a Senior Data Engineer in Fort Mill, SC to lead the development and deployment of scalable data platforms for advanced analytics. You will collaborate with data scientists, analysts, and software engineers to enable reliable data delivery and insights across the mortgage and real estate stack.

The role emphasizes building ETL pipelines, data models, and warehousing solutions using SQL Server and MongoDB, with strong focus on data quality, testing, and documentation.