Global Technical Talent
Primary Job Title:
Data Engineer
Alternate/Related Job Titles: ETL Developer Data Integration Engineer Cloud Data Pipeline Engineer Location: Raleigh, NC
Onsite Flexibility: Onsite
Contract Details:
Position Type:
Contract Contract Duration:
~14 months Start:
08/12/2025 End:
10/12/2026 Job Summary: The
Data Engineer
is responsible for designing, building, and maintaining
data pipelines
that support integrations for the Enterprise Data Warehouse, Operational Data Store, Data Marts, and related platforms, in alignment with FCB-defined guidelines. This role requires deep technical expertise in data integration, data warehousing, and cloud-based platforms, along with proficiency in both legacy and modern ETL/ELT tools.
Key Responsibilities:
Design, build, and maintain complex data pipelines for enterprise data integration. Support existing SAS ETL scripts with maintenance and minor enhancements. Implement solutions using ETL tools such as SAP Business Objects Data Services (BODS), Informatica Cloud Data Integration Services (IICS), IBM DataStage. Leverage ELT tools such as DBT, Fivetran, and AWS Glue for data processing. Develop and maintain large-scale Data Warehousing solutions using Oracle, Netezza, Teradata, SQL Server. Work with cloud-based data platforms including Snowflake, AWS Redshift, and Google BigQuery. Create and manage Logical and Physical Data Models using relational or dimensional modeling practices. Optimize the performance of data pipelines and database objects. Utilize GitLab for version control and CI/CD processes. Troubleshoot and resolve data integrity issues. Required Experience:
Experience designing and building data warehouses and data lakes. Strong understanding of data warehouse principles and concepts. Hands-on work in large-scale data warehousing applications. Public cloud data platform experience (Snowflake, AWS). Nice-to-Have Experience:
Familiarity with Google BigQuery. Experience with performance tuning in high-volume ETL/ELT processes. Required Skills:
Expertise in SQL. Proficiency in at least one scripting language (e.g., Python). Strong knowledge of data architecture, design patterns, and modeling. Preferred Skills:
Experience with SAS ETL. Proficiency with SAP BODS, IICS, and IBM DataStage. Experience with DBT, Fivetran, and AWS Glue. Additional Skills:
Logical and Physical Data Modeling expertise. GitLab CI/CD workflow knowledge. Experience in resolving data integrity issues. Benefits:
Medical, Vision, and Dental Insurance Plans 401k Retirement Fund
About GTT: GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. As a Native American-owned, economically disadvantaged corporation, we highly value diverse and inclusive workplaces. Our clients are Fortune 500 banking, insurance, financial services, and technology companies, along with some of the nation's largest life sciences, biotech, utility, and retail companies across the US and Canada. We look forward to helping you land your next great career opportunity!
Job Number:
25-24673 #LI-GTT #LI-Remote
Alternate/Related Job Titles: ETL Developer Data Integration Engineer Cloud Data Pipeline Engineer Location: Raleigh, NC
Onsite Flexibility: Onsite
Contract Details:
Position Type:
Contract Contract Duration:
~14 months Start:
08/12/2025 End:
10/12/2026 Job Summary: The
Data Engineer
is responsible for designing, building, and maintaining
data pipelines
that support integrations for the Enterprise Data Warehouse, Operational Data Store, Data Marts, and related platforms, in alignment with FCB-defined guidelines. This role requires deep technical expertise in data integration, data warehousing, and cloud-based platforms, along with proficiency in both legacy and modern ETL/ELT tools.
Key Responsibilities:
Design, build, and maintain complex data pipelines for enterprise data integration. Support existing SAS ETL scripts with maintenance and minor enhancements. Implement solutions using ETL tools such as SAP Business Objects Data Services (BODS), Informatica Cloud Data Integration Services (IICS), IBM DataStage. Leverage ELT tools such as DBT, Fivetran, and AWS Glue for data processing. Develop and maintain large-scale Data Warehousing solutions using Oracle, Netezza, Teradata, SQL Server. Work with cloud-based data platforms including Snowflake, AWS Redshift, and Google BigQuery. Create and manage Logical and Physical Data Models using relational or dimensional modeling practices. Optimize the performance of data pipelines and database objects. Utilize GitLab for version control and CI/CD processes. Troubleshoot and resolve data integrity issues. Required Experience:
Experience designing and building data warehouses and data lakes. Strong understanding of data warehouse principles and concepts. Hands-on work in large-scale data warehousing applications. Public cloud data platform experience (Snowflake, AWS). Nice-to-Have Experience:
Familiarity with Google BigQuery. Experience with performance tuning in high-volume ETL/ELT processes. Required Skills:
Expertise in SQL. Proficiency in at least one scripting language (e.g., Python). Strong knowledge of data architecture, design patterns, and modeling. Preferred Skills:
Experience with SAS ETL. Proficiency with SAP BODS, IICS, and IBM DataStage. Experience with DBT, Fivetran, and AWS Glue. Additional Skills:
Logical and Physical Data Modeling expertise. GitLab CI/CD workflow knowledge. Experience in resolving data integrity issues. Benefits:
Medical, Vision, and Dental Insurance Plans 401k Retirement Fund
About GTT: GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. As a Native American-owned, economically disadvantaged corporation, we highly value diverse and inclusive workplaces. Our clients are Fortune 500 banking, insurance, financial services, and technology companies, along with some of the nation's largest life sciences, biotech, utility, and retail companies across the US and Canada. We look forward to helping you land your next great career opportunity!
Job Number:
25-24673 #LI-GTT #LI-Remote