Thermo Fisher Scientific

Data Analytics Engineer

Thermo Fisher Scientific

full-time

Posted on:

Location Type: Remote

Location: Texas • United States

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Tech Stack

Amazon RedshiftAWSAzurePySparkPythonSQLTerraform

About the role

  • 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.

Requirements

  • BS/MS or equivalent experience in Computer Science or related fields, plus 5–8 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
  • 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).

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Power BIMicrosoft FabricDAXPower QuerySQLPythonPySparkCI/CDData GovernanceData Modeling
Soft skills
problem-solvingdebuggingleadershipteamworkinterpersonal skillsaccountabilityagilitycommunicationownershipadaptability
Certifications
BS in Computer ScienceMS in Computer ScienceMCP