Data Engineer

Insight Global; Fort Worth (TX); On-site; USD 110,000 - 140,000; Full time

Job summary

Insight Global in Fort Worth, TX is seeking a Senior Data Engineer to design and maintain scalable data pipelines, optimize ETL/ELT processes, and manage data from operational systems and warehouses.

You will collaborate with architects and technical leads to implement future-state data solutions, support data governance and data quality initiatives, contribute to data modeling, performance optimization, and analytics enablement, and assist with reporting and visualization for business

Qualifications

• 5+ years of experience in data engineering, analytics engineering, or data integration roles.
• Strong SQL and PL/SQL experience.
• Working knowledge of data warehousing concepts and data modeling.
• Experience developing ETL/ELT processes and integrations.
• Understanding of data governance, MDM, data quality, security, stewardship, and ownership concepts.
• Experience supporting business analytics and reporting solutions.
• Experience working with WMS platforms such as Manhattan, JDA, or Blue Yonder; Python development experience.

Responsibilities

• Develop and maintain scalable data pipelines and integration solutions.
• Build and optimize ETL/ELT processes supporting enterprise analytics.
• Transform, validate, and manage data from operational systems and warehouse environments.
• Collaborate with architects and technical leads to implement future-state data solutions.
• Support data governance, master data management, ownership, stewardship, security, and data quality initiatives.
• Contribute to data modeling, performance optimization, and analytics enablement efforts.
• Assist with reporting and visualization requirements supporting business operations.

Skills

Data engineering

SQL

PL/SQL

Data modeling

Analytics & reporting

Python development

Data governance & security

Tools

Oracle Cloud Infrastructure

Power BI

Job description

Key Responsibilities

• Develop and maintain scalable data pipelines and integration solutions.
• Build and optimize ETL/ELT processes supporting enterprise analytics.
• Transform, validate, and manage data from operational systems and warehouse environments.
• Collaborate with architects and technical leads to implement future-state data solutions.
• Support data governance, master data management, ownership, stewardship, security, and data quality initiatives.
• Contribute to data modeling, performance optimization, and analytics enablement efforts.
• Assist with reporting and visualization requirements supporting business operations.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• 5+ years of experience in data engineering, analytics engineering, or data integration roles.
• Strong SQL and PL/SQL experience.
• Working knowledge of data warehousing concepts and data modeling.
• Experience developing ETL/ELT processes and integrations.
• Understanding of data governance, MDM, data quality, security, stewardship, and ownership concepts.
• Experience supporting business analytics and reporting solutions.
• Experience working with WMS platforms such as Manhattan, JDA, or Blue Yonder. - Python development experience.

Supply chain, logistics, manufacturing, or distribution experience.

• Familiarity with warehouse management processes including receiving, put-away, pick, pack, and ship.
• Exposure to Oracle Cloud Infrastructure, Oracle databases, and Power BI.