Data Analytics Engineer

Austin, TX - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

How will you make an impact

We are seeking an expert Microsoft Fabric Developer & Administrator to support projects by building and improving modern analytics and AI solutions using the Microsoft Fabric platform. This role will help the company make faster more thoughtful decisions by delivering AI-powered insights automation and real-time reporting across global business functions.

The ideal candidate will upgrade and streamline our data systems by using tools like Power BI Fabric Lakehouse Data Activator Data Agent and Copilot and by integrating ChatGPT and Model Context Protocol (MCP) to develop experienced conversational and user-friendly analytics. This role requires strong technical skills problem-solving abilities and the capability to build secure scalable systems that drive innovation efficiency and business growth.

What will you do

Build and enhance Power BI datasets dashboards and reports within the Microsoft Fabric ecosystem ensuring performance scalability and an outstanding user experience.
Leverage Copilot ChatGPT and MCP-based AI integrations to automate insights enable natural language analytics and deliver predictive and generative intelligence.
Develop advanced data modeling DAX and Power Query (M) solutions to enable complex high-volume enterprise reporting.
Coordinate and configure Fabric capacities workspaces pipelines and Lakehouses ensuring secure reliable and compliant operations.
Manage and integrate Data Activator and Data Agent for event-driven AI-assisted analytics workflows.
Perform capacity analysis optimize resource utilization and build proactive monitoring processes to sustain peak performance.
Integrate Fabric telemetry and activity logs with Log Analytics and Azure Monitor to build actionable intelligence on usage performance and cost efficiency.
Develop CI/CD automation for Power BI and Fabric assets through Azure DevOps Git or GitHub Actions ensuring version control alignment and deployment consistency.
Collaborate with engineering and data teams to unify data across Databricks AWS Redshift and Data Lakes establishing a governed high-availability data fabric.
Optimize SQL and PySpark queries for analytical performance and efficiency.
Implement data lineage governance and security protocols using enterprise-level RLS/OLS and workspace oversight.
Promote and improve reporting by using advanced technology MCP-based analytics and automation to help teams create their own reports more easily and effectively.
Lead platform optimization and capacity scaling initiatives for sustained reliability and performance.
Demonstrate advanced problem-solving debugging and cross-platform integration skills across hybrid data and AI ecosystems.

Experience Knowledge Skills and Abilities

BS/MS or equivalent experience in Computer Science or related fields plus 58 years working with Power BI and Microsoft Fabric at an enterprise level.
Strong hands-on experience with Fabric Lakehouse Data Agent Copilot and MCP integrations with ChatGPT.
Advanced skills in DAX Power Query (M) Power BI REST APIs and Data Gateway setup.
Experience building CI/CD pipelines for Fabric and Power BI using Azure DevOps Git or GitHub Actions.
Strong coding and automation skills using SQL Python PySpark and PowerShell.
Basic knowledge of Terraform Azure CLI and DevOps tools used for automated deployments.
Good understanding of data governance RLS/OLS and workspace management in Fabric.
Experience with Log Analytics monitoring and capacity tuning for Power BI Premium and Fabric.
Strong problem-solving and debugging skills especially for automation and AI-enabled systems.
Demonstrated leadership teamwork and interpersonal skills across IT data and business teams.
Ability to thrive in fast-paced multi-project environments maintaining quality and agility.
Takes ownership stays accountable and always looks for ways to improve and scale systems.
Passionate about AI MCP and new technology staying up-to-date with Fabric and AI advancements.
Able to turn complex technical work into clear business value and help shape data strategy.

Benefits and Total Rewards

This position may also be eligible to receive a variable annual bonus based on company team and individual performance. Thermo Fisher Scientific offers a comprehensive Total Rewards package that includes:

Multiple medical dental and vision plan options.
Employee assistance and family support programs tuition reimbursement and commuter benefits.
Paid time off (PTO) paid holidays parental leave and life/disability insurance.
Retirement programs such as a competitive 401(k) with company match and an Employee Stock Purchase Plan (ESPP).

Required Experience:

Work ScheduleStandard (Mon-Fri)Environmental ConditionsOfficeJob DescriptionHow will you make an impactWe are seeking an expert Microsoft Fabric Developer & Administrator to support projects by building and improving modern analytics and AI solutions using the Microsoft Fabric platform. This role wi...

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

How will you make an impact

What will you do

Build and enhance Power BI datasets dashboards and reports within the Microsoft Fabric ecosystem ensuring performance scalability and an outstanding user experience.
Leverage Copilot ChatGPT and MCP-based AI integrations to automate insights enable natural language analytics and deliver predictive and generative intelligence.
Develop advanced data modeling DAX and Power Query (M) solutions to enable complex high-volume enterprise reporting.
Coordinate and configure Fabric capacities workspaces pipelines and Lakehouses ensuring secure reliable and compliant operations.
Manage and integrate Data Activator and Data Agent for event-driven AI-assisted analytics workflows.
Perform capacity analysis optimize resource utilization and build proactive monitoring processes to sustain peak performance.
Integrate Fabric telemetry and activity logs with Log Analytics and Azure Monitor to build actionable intelligence on usage performance and cost efficiency.
Develop CI/CD automation for Power BI and Fabric assets through Azure DevOps Git or GitHub Actions ensuring version control alignment and deployment consistency.
Collaborate with engineering and data teams to unify data across Databricks AWS Redshift and Data Lakes establishing a governed high-availability data fabric.
Optimize SQL and PySpark queries for analytical performance and efficiency.
Implement data lineage governance and security protocols using enterprise-level RLS/OLS and workspace oversight.
Promote and improve reporting by using advanced technology MCP-based analytics and automation to help teams create their own reports more easily and effectively.
Lead platform optimization and capacity scaling initiatives for sustained reliability and performance.
Demonstrate advanced problem-solving debugging and cross-platform integration skills across hybrid data and AI ecosystems.

Experience Knowledge Skills and Abilities

BS/MS or equivalent experience in Computer Science or related fields plus 58 years working with Power BI and Microsoft Fabric at an enterprise level.
Strong hands-on experience with Fabric Lakehouse Data Agent Copilot and MCP integrations with ChatGPT.
Advanced skills in DAX Power Query (M) Power BI REST APIs and Data Gateway setup.
Experience building CI/CD pipelines for Fabric and Power BI using Azure DevOps Git or GitHub Actions.
Strong coding and automation skills using SQL Python PySpark and PowerShell.
Basic knowledge of Terraform Azure CLI and DevOps tools used for automated deployments.
Good understanding of data governance RLS/OLS and workspace management in Fabric.
Experience with Log Analytics monitoring and capacity tuning for Power BI Premium and Fabric.
Strong problem-solving and debugging skills especially for automation and AI-enabled systems.
Demonstrated leadership teamwork and interpersonal skills across IT data and business teams.
Ability to thrive in fast-paced multi-project environments maintaining quality and agility.
Takes ownership stays accountable and always looks for ways to improve and scale systems.
Passionate about AI MCP and new technology staying up-to-date with Fabric and AI advancements.
Able to turn complex technical work into clear business value and help shape data strategy.

Benefits and Total Rewards

Multiple medical dental and vision plan options.
Employee assistance and family support programs tuition reimbursement and commuter benefits.
Paid time off (PTO) paid holidays parental leave and life/disability insurance.
Retirement programs such as a competitive 401(k) with company match and an Employee Stock Purchase Plan (ESPP).

Required Experience:

Key Skills

Apache Hive
S3
Hadoop
Redshift
Spark
AWS
Apache Pig
NoSQL
Big Data
Data Warehouse
Kafka
Scala

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About Company

Thermo Fisher Scientific

Electron microscopes reveal hidden wonders that are smaller than the human eye can see. They fire electrons and create images, magnifying micrometer and nanometer structures by up to ten million times, providing a spectacular level of detail, even allowing researchers to view single a ... View more

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