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Temporary Amazon Business Intelligence Engineer Jobs in Addison, TX

BI Engineer

Dallas, TX · On-site

$50.50 - $65.50/hr

Drive continuous improvement of business intelligence processes, tools, and reporting standards. AI ... Partner with data and engineering teams to operationalize AI-driven insights within reporting ...

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and ... As an Automation Engineer, you will play a crucial role in maximizing equipment reliability and ...

... business problems into production-ready AI systems. This role offers the opportunity to work on ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and ... As an Automation Engineer, you will play a crucial role in maximizing equipment reliability and ...

Showing results 41-60

Temporary Amazon Business Intelligence Engineer information

See Addison, TX salary details

$28

$55

$77

How much do temporary amazon business intelligence engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for temporary amazon business intelligence engineer in Addison, TX is $55.23, according to ZipRecruiter salary data. Most workers in this role earn between $47.45 and $61.68 per hour, depending on experience, location, and employer.

What is the difference between Temporary Amazon Business Intelligence Engineer vs Temporary Data Analyst?

AspectTemporary Amazon Business Intelligence EngineerTemporary Data Analyst
Required skillsData modeling, SQL, BI tools, AWSData cleaning, Excel, SQL, visualization
Work environmentTech-focused, cloud-based, fast-pacedOffice or remote, analytical, reporting
Industry usageAmazon, e-commerce, techVarious industries, retail, finance, healthcare

The Temporary Amazon Business Intelligence Engineer focuses on building and maintaining data systems and dashboards using BI tools and cloud platforms like AWS. In contrast, the Temporary Data Analyst primarily interprets data, creates reports, and supports decision-making through data visualization. Both roles require SQL skills, but the BI Engineer emphasizes data architecture and automation, while the Data Analyst emphasizes data interpretation and presentation.

What cities near Addison, TX are hiring for Temporary Amazon Business Intelligence Engineer jobs?

Cities near Addison, TX with the most Temporary Amazon Business Intelligence Engineer job openings:

Contractor

Re-posted 12 days ago


Job description

Senior Business Intelligence Engineer
Location: Irving, TX (Onsite 5 Days/Week)
Employment Type: Contract-to-Hire (3–6 Months)
Work Authorization: Must be authorized to work in the U.S. without sponsorship
Position Overview
Our client is seeking a Senior Business Intelligence Engineer to lead the development of enterprise reporting and analytics solutions that empower business leaders to make informed, data-driven decisions. This individual will be responsible for designing intuitive dashboards, semantic models, and reporting solutions with a primary focus on Power BI.
The ideal candidate combines strong reporting and visualization expertise with solid SQL skills and a deep understanding of how data is structured behind the scenes. While this role is not focused on building data pipelines or data warehouse architecture, the successful candidate must be comfortable working with complex datasets, understanding SQL logic, and collaborating closely with data engineering teams to deliver accurate, scalable reporting solutions.
This role will play a key part in improving reporting capabilities across the organization while establishing best practices for visualization, usability, performance, and governance.
Key Technologies
  • Power BI
  • Tableau
  • SSRS
  • SQL Server
  • Azure SQL
  • DAX
  • Power Query
  • Data Modeling
Primary Responsibilities
  • Design, develop, and maintain enterprise reporting solutions using Power BI.
  • Create intuitive dashboards, scorecards, and visualizations that support operational and executive decision-making.
  • Develop and maintain semantic models, datasets, measures, and calculated fields.
  • Build and optimize DAX calculations and reporting logic.
  • Develop and support SSRS reports and legacy reporting solutions.
  • Design and maintain Tableau dashboards to support broader enterprise reporting initiatives.
  • Write and modify SQL queries to support reporting requirements, data validation, and troubleshooting efforts.
  • Partner closely with data engineering teams to ensure reporting data structures support business requirements.
  • Translate business needs into meaningful visualizations and actionable insights.
  • Optimize report performance through efficient model design, aggregations, query optimization, and best practices.
  • Implement row-level security and governance standards across reporting platforms.
  • Promote best practices around data visualization, user experience, report usability, and dashboard design.
  • Provide guidance and support to business users consuming reporting solutions.
Required Qualifications
  • 5+ years of experience developing enterprise reporting and business intelligence solutions.
  • Advanced expertise in Power BI, including:
    • Semantic models
    • Datasets
    • DAX development
    • Performance optimization
    • Workspace administration
    • Security and governance
  • Strong SQL skills with the ability to:
    • Write complex joins
    • Create aggregations
    • Utilize CTEs and subqueries
    • Validate and troubleshoot reporting data
  • Experience developing and supporting SSRS reports.
  • Experience building dashboards and visualizations in Tableau.
  • Strong understanding of data visualization principles and dashboard design best practices.
  • Experience translating business requirements into reporting solutions and executive-level insights.
  • Strong analytical and problem-solving skills.
Preferred Qualifications
  • Experience supporting large enterprise reporting environments.
  • Familiarity with Azure SQL, SQL Server, and modern cloud-based data platforms.
  • Experience working with data engineering teams supporting Azure Data Factory or similar ETL solutions.
  • Understanding of dimensional modeling concepts including fact and dimension tables.
  • Experience supporting finance, operations, supply chain, or enterprise business functions.
What Success Looks Like
  • Deliver high-quality dashboards and reports that are trusted and widely adopted by business users.
  • Improve reporting usability, consistency, and performance across the organization.
  • Enable faster decision-making through intuitive and meaningful data visualizations.
  • Establish reporting standards and best practices that improve scalability and maintainability.
  • Serve as a trusted partner between business stakeholders and technical data teams.