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Business Intelligence Engineer Jobs in Texas (NOW HIRING)

Learfield

Business Intelligence Engineer

Dallas, TX · On-site

$100K - $120K/yr

Paciolan is seeking a Business Intelligence Engineer to join our Product Engineering team. This is an exciting opportunity for someone who thrives at the intersection of live events, analytics, and ...

Paciolan

Business Intelligence Engineer

Dallas, TX · On-site

$100K - $120K/yr

Paciolan is seeking a Business Intelligence Engineer to join our Product Engineering team. This is an exciting opportunity for someone who thrives at the intersection of live events, analytics, and ...

Amazon

Business Intelligence Engineer I

Austin, TX · On-site

$50.50 - $65.75/hr

Amazon Logistics is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer to drive effective performance measurement and management, innovation and ...

New

Amazon

Business Intelligence Engineer I

Austin, TX · On-site

$50.50 - $65.75/hr

Amazon Logistics is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer to drive effective performance measurement and management, innovation and ...

New

DTCC

Business Intelligence Engineer

Coppell, TX · On-site

$47.50 - $61.50/hr

Bachelor's degree preferred or equivalent practical experience * 4-7 years of Business Intelligence ... Microsoft Power Platform Developer Associate * PL-600: Microsoft Power Platform Solution Architect

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How much do business intelligence engineer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for business intelligence engineer in Texas is $53.15, according to ZipRecruiter salary data. Most workers in this role earn between $45.67 and $59.33 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a business intelligence engineer, and why are they important?

To thrive as a Business Intelligence Engineer, you need strong analytical skills, expertise in data modeling, and a background in computer science or a related field. Proficiency with BI tools like Tableau, Power BI, SQL, and data warehousing systems, as well as certifications in these platforms, are highly valuable. Excellent problem-solving abilities, effective communication, and attention to detail help you translate complex data into actionable business insights. These skills ensure accurate data analysis and reporting, empowering organizations to make data-driven decisions.

What is a business intelligence engineer?

Business Intelligence Engineers are professionals who design, develop, and maintain systems and processes that help organizations collect, analyze, and interpret data. They create dashboards, reports, and data models that enable business leaders to make informed decisions. Their work typically involves data warehousing, ETL (extract, transform, load) processes, and the use of tools such as SQL, Power BI, or Tableau. BI Engineers bridge the gap between raw data and actionable business insights, playing a crucial role in data-driven organizations.

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

AspectBusiness Intelligence EngineerData Analyst
CredentialsBachelor's in CS, IT, or related field; SQL, BI toolsBachelor's in Statistics, Math, or related field; SQL, Excel
Work EnvironmentDevelops data pipelines, dashboards, reports; collaborates with IT and business teamsAnalyzes data, creates reports, visualizations; works closely with business units
Industry UsageUsed across tech, finance, healthcare for data infrastructureCommon in marketing, finance, retail for insights and reporting

Business Intelligence Engineers focus on building data infrastructure, pipelines, and dashboards to enable data-driven decisions. Data Analysts interpret data, generate reports, and provide insights. Both roles require SQL and data visualization skills but differ in scope and responsibilities.

How does a business intelligence engineer typically collaborate with data analysts and business stakeholders?

Business Intelligence Engineers work closely with data analysts to design and optimize data models, build robust data pipelines, and ensure accurate reporting. They also engage with business stakeholders to understand their data needs, translate requirements into technical solutions, and provide actionable insights that support decision-making. Regular collaboration involves meetings to review project progress, clarify business objectives, and adjust deliverables based on feedback, fostering a dynamic and cross-functional team environment.
More about Business Intelligence Engineer jobs
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What cities in Texas are hiring for Business Intelligence Engineer jobs? Cities in Texas with the most Business Intelligence Engineer job openings:
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Business Intelligence Engineer jobs near you
Infographic showing various Business Intelligence Engineer job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 57% In-person, 7% Hybrid, and 36% Remote job distribution, with an average salary of $110,550 per year, or $53.1 per hour.

Business Intelligence Engineer

Learfield

Dallas, TX • On-site

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Learfield rating

8.4

Company rating: 8.4 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

6th of 50 rated marketing agency

Job description

Paciolan is seeking a Business Intelligence Engineer to join our Product Engineering team. This is an exciting opportunity for someone who thrives at the intersection of live events, analytics, and modern cloud data platforms. In this role, you'll have end-to-end ownership of the data products that empower our clients to make timely, high-impact business decisions while helping shape the future of our analytics capabilities.

Essential Duties & Responsibilities:

  • Build and scale business intelligence as a service, delivering insights that create measurable value for clients
  • Design, own, and evolve end-to-end data solutions across data engineering, analytics, and data science
  • Develop and maintain dynamic dashboards using Fundraising, Ticketing, Marketing, and other complex data sources
  • Lead client onboarding and act as a long-term analytics partner to participating organizations
  • Ensure data accuracy and reliability through rigorous validation, monitoring, and root-cause analysis
  • Create data models and structures that power trusted, scalable analytics
  • Partner closely with Product, UI/UX, Customer Success, and fellow data engineers to deliver intuitive, high-impact solutions
  • Proactively propose new analyses and help shape how insights are shared across clients and internal teams

Minimum Qualifications:

  • 4+ years of work experience delivering business intelligence or analytics to stakeholders across teams or organizations
  • Demonstrated experience in the ticketing/live events/sports space
  • Strong SQL skills and hands-on experience with cloud data warehouses (Snowflake, AWS, or similar)
  • Experience building dashboards and reports using modern data visualization tools (Tableau preferred)
  • A curiosity-driven mindset-you ask "why," connect patterns, and turn data into clear, compelling stories
  • A passion for building analytics that are not only accurate, but genuinely useful and actionable
  • Comfort giving and receiving feedback, and a willingness to stretch beyond your comfort zone

Preferred Qualifications:

  • Experience with Python or R for predictive, statistical, or categorical modeling
  • Familiarity with live entertainment, college athletics, or fundraising data
  • End-to-end data engineering experience (source warehouse visualization/export)
  • Experience with ETL tools and modern data stack patterns
  • Deep familiarity with Snowflake or similar cloud data platforms
  • Exposure to AI-driven analytics use cases (e.g., forecasting, segmentation, anomaly detection, or AI-assisted insights), and interest in building data foundations that support future AI capabilities

Pay Transparency:

The approximate national base pay range for this position is $100,000 to $120,000. Please note that this is a good faith estimate for the position at the time of posting. Individuals may also be eligible for an annual discretionary bonus and/or sales compensation based on individual and company performance. Placement on the range may vary based on factors including but not limited to job-related knowledge, skills, and experience, and geographic location. The pay rate will comply with all minimum federal, state, and local wage/salary requirements.

Learfield offers a full spectrum of benefits for eligible employees including Medical, Dental, Vision, Health Savings Account, Life Insurance and Other Insurance Plans, Flexible Paid Time Off (minimum 10+ days annually), including Parental Leave, 20 Paid Holidays, 401(k) + Match, and Short/Long Term Disability. Leave benefits are consistent with state and local laws, including the Colorado Health Families and Workplaces Act.

Learfield is an Equal Opportunity Employer. We provide equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

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