Senior Data Engineer

Insight Global; Denton (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Insight Global is seeking a Senior Data Engineer to design and modernize data platforms supporting reporting and analytics. You will own ETL pipelines, data warehouses, and data lake initiatives across the enterprise, driving scalable data movement and integration.

The role emphasizes hands-on ETL/ELT development, strong SQL and DB skills, and collaboration with business teams to meet data needs and enable governance and insights.

Qualifications

• 8+ years of Data Engineering experience.
• Experience designing enterprise data warehouses and data lake environments.
• Strong SQL and database development experience (Oracle, SQL Server, or comparable).
• Hands-on ETL/ELT pipeline development.
• Experience with enterprise-scale reporting and analytics environments.
• Experience integrating data across multiple systems and apps.
• Knowledge of data modeling, architecture, and data movement best practices.
• Experience supporting BI and reporting initiatives.

Responsibilities

• Designing and supporting enterprise data warehouses and future-state data lakes.
• Developing ETL/ELT pipelines and data integrations.
• Building integrations between applications and data platforms.
• Supporting reporting, dashboards, and BI initiatives.
• Creating scalable data movement, transformation, and storage solutions.
• Collaborating with technical and business teams on data requirements.
• Contributing to enterprise architecture and modernization efforts.

Skills

Data Engineering

Enterprise Data Warehouses

SQL & DB Development

ETL/ELT Pipelines

Data Modeling

Data Integration

BI/Analytics Support

Tools

Oracle

SQL Server

ETL Tools

Power BI

Job description

Location: Hybrid preferred. Open to remote candidates with strong experience. Onsite interview required.

Job Description

Insight Global is seeking a Senior Data Engineer to help build and modernize enterprise data platforms that support reporting, analytics, integrations, and business decision-making. This individual will play a key role in designing and implementing data warehouse solutions, developing ETL processes, supporting application integrations, and delivering reliable data assets across the organization.

The ideal candidate will have a strong background in enterprise data warehousing, ETL development, database technologies, and systems integration. Experience with reporting and business intelligence tools is highly desired, though the primary focus will be data engineering and platform development.

Responsibilities include:

• Designing and supporting enterprise data warehouses and future-state data lake environments
• Developing ETL/ELT processes and data pipelines
• Building integrations between enterprise applications and data platforms
• Supporting reporting, dashboarding, and business intelligence initiatives
• Creating scalable solutions for data movement, transformation, and storage
• Working with technical and business teams to define data requirements
• Contributing to enterprise architecture and modernization efforts

Must Have

• 8+ years of Data Engineering experience
• Experience designing, building, and maintaining enterprise data warehouses and data lake environments
• Strong SQL and database development experience (Oracle, SQL Server, or comparable technologies)
• Hands‑on experience developing ETL/ELT pipelines and data integration solutions
• Experience working with enterprise‑scale reporting and analytics environments
• Experience integrating data across multiple systems and applications
• Strong understanding of data modeling, database architecture, and data movement best practices
• Experience supporting business intelligence and reporting initiatives

Nice to Have

• SnapLogic, SSIS, Informatica, Data Factory, Talend, or similar ETL platforms
• Power BI or other dashboard/reporting tools
• API integrations
• Cloud platforms such as Azure, AWS, Snowflake, or Fabric
• ERP, CRM, HCM, SIS, or LMS integration experience