Senior Data Engineer

Insight Global
Denton, TX, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Data Analysis Microsoft Azure Cloud Computing Databases Learning Management Systems Information Engineering Data Integration Extract Transform Load (ETL) Database Development Digital Assets Microsoft SQL Server
+19 more
Oracle (Applications) Power BI Standard Sql SQL Server Integration Services Oracle Fusion Middleware Systems Integration Talend Enterprise Data Management Enterprise Software Applications Informatica Powercenter Snowflake Informatica Cloud Data Lakes Data Management Tools for Reporting Oracle Integration Oracle Cloud Infrastructure Data Pipelines Api Management

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

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 HR@insightglobal.com.To 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/.

Requirements

  • 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 * Oracle Cloud, Oracle Fusion ERP, Oracle Integration Cloud (OIC)

  • 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

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