Senior Data Business Intelligence Engineer

San Antonio, TX - USA

Monthly Salary: Not Disclosed

Posted on: 12 hours ago

Vacancies: 1 Vacancy

Job Summary

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

Bachelors 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.

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 requi...

Job Description (Posting).

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

Bachelors 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.