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Senior Data Business Intelligence Engineer

  • ... Posted on: Dec 09, 2025
  • ... Shrive Technologies LLC
  • ... San Antonio, Texas
  • ... Salary: Not Available
  • ... Full-time

Senior Data Business Intelligence Engineer   

Job Title :

Senior Data Business Intelligence Engineer

Job Type :

Full-time

Job Location :

San Antonio Texas United States

Remote :

No

Jobcon Logo Job Description :

Job Description (Posting).
Job Summary
We are seeking a highly skilled Senior Data / Business Intelligence Engineer to join our organization. The ideal candidate will bring deep expertise across data platforms, business intelligence technologies, and cloud-based data solutions. This role requires strong collaboration skills, the ability to bridge business and technical teams, and proven experience delivering end-to-end data lifecycle solutions.

Experience Required: 7+ Years
Location: San Antonio, TX
Key Responsibilities
  • Act as a Data/BI Power User and Data Consumer, working with business units to understand requirements and translate them into actionable technical solutions.
  • Serve as a business technology liaison, ensuring alignment between strategic business goals and data-driven deliverables.
  • Own, support, and deliver the full data lifecycle, including requirement gathering, data design, modeling, development, testing, deployment, and optimization.
  • Develop advanced SQL queries and design data models for both SQL and NoSQL repositories.
  • Build, maintain, and optimize dashboards, reports, and analytics using Power BI and other BI tools such as Tableau and Alteryx.
  • Utilize data transformation and manipulation tools such as Python and Alteryx to streamline workflows and enhance analytical capabilities.
  • Work within Azure cloud environments, contributing to cloud-based data architecture, storage, and pipeline solutions.
  • Apply DataOps practices, including CI/CD, automation, and monitoring of data pipelines.
  • Collaborate within Agile development environments, using tools like JIRA to plan and execute sprints and iterative releases.
  • Leverage understanding of machine learning and AI concepts to support advanced analytics initiatives.
  • Apply data engineering vocabulary and architectural principles to support scalable, secure, and reliable data systems.
  • Execute project planning and delivery using established project management methodologies.
Required Qualifications
  • Bachelor's degree in computer science, Math, IT, Business, or equivalent work/educational experience.
  • Proven experience as a Data/BI power user with strong analytical, visualization, and data consumption skills.
  • Demonstrated ability to act as a business liaison, delivering both strategic and tactical solutions.
  • Advanced proficiency in SQL, including SQL/NoSQL data modeling techniques.
  • Advanced experience with business intelligence and data discovery tools, including Power BI, Tableau, and Alteryx.
  • Strong understanding of Cloud Computing, specifically Azure.
  • Familiarity with machine learning and AI technologies.
  • Experience with DataOps, data engineering terminology, and modern data architecture.
  • Experience in Agile environments with tools such as JIRA.
  • Strong ability to plan, schedule, and implement projects following standard project management practices.

Jobcon Logo Position Details

Posted:

Dec 09, 2025

Employment:

Full-time

Salary:

Not Available

Snaprecruit ID:

SD-CIE-3a347d08c25a7cf88317d3526aa6227f95f5ef48df8f32fbede6a0617e145bbd

City:

San Antonio

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Description (Posting).
Job Summary
We are seeking a highly skilled Senior Data / Business Intelligence Engineer to join our organization. The ideal candidate will bring deep expertise across data platforms, business intelligence technologies, and cloud-based data solutions. This role requires strong collaboration skills, the ability to bridge business and technical teams, and proven experience delivering end-to-end data lifecycle solutions.

Experience Required: 7+ Years
Location: San Antonio, TX
Key Responsibilities
  • Act as a Data/BI Power User and Data Consumer, working with business units to understand requirements and translate them into actionable technical solutions.
  • Serve as a business technology liaison, ensuring alignment between strategic business goals and data-driven deliverables.
  • Own, support, and deliver the full data lifecycle, including requirement gathering, data design, modeling, development, testing, deployment, and optimization.
  • Develop advanced SQL queries and design data models for both SQL and NoSQL repositories.
  • Build, maintain, and optimize dashboards, reports, and analytics using Power BI and other BI tools such as Tableau and Alteryx.
  • Utilize data transformation and manipulation tools such as Python and Alteryx to streamline workflows and enhance analytical capabilities.
  • Work within Azure cloud environments, contributing to cloud-based data architecture, storage, and pipeline solutions.
  • Apply DataOps practices, including CI/CD, automation, and monitoring of data pipelines.
  • Collaborate within Agile development environments, using tools like JIRA to plan and execute sprints and iterative releases.
  • Leverage understanding of machine learning and AI concepts to support advanced analytics initiatives.
  • Apply data engineering vocabulary and architectural principles to support scalable, secure, and reliable data systems.
  • Execute project planning and delivery using established project management methodologies.
Required Qualifications
  • Bachelor's degree in computer science, Math, IT, Business, or equivalent work/educational experience.
  • Proven experience as a Data/BI power user with strong analytical, visualization, and data consumption skills.
  • Demonstrated ability to act as a business liaison, delivering both strategic and tactical solutions.
  • Advanced proficiency in SQL, including SQL/NoSQL data modeling techniques.
  • Advanced experience with business intelligence and data discovery tools, including Power BI, Tableau, and Alteryx.
  • Strong understanding of Cloud Computing, specifically Azure.
  • Familiarity with machine learning and AI technologies.
  • Experience with DataOps, data engineering terminology, and modern data architecture.
  • Experience in Agile environments with tools such as JIRA.
  • Strong ability to plan, schedule, and implement projects following standard project management practices.

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