Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric (including Power BI, OneLake, semantic models, and data pipelines).
Build and maintain data models including relational, dimensional, star, and snowflake schemas.
Ingest, transform, and orchestrate data from multiple sources (SQL, APIs, SaaS applications, streaming sources).
Optimize data models and queries for performance, reliability, and cost efficiency.
Create dashboards, reports, scorecards, and visualizations for operational and executive audiences.
Collaborate with BI developers and analysts to support Power BI semantic models and reporting.
Administer and support enterprise Fabric environments, including workspace design, security, and lifecycle management.
Establish and enforce analytics standards and best practices within the Fabric ecosystem.
Conduct regular data profiling and quality assessments.
Partner with business stakeholders to gather, document, recommend, and refine analytics requirements.
Translate business questions into actionable data solutions.
Prepare process flows, data flow diagrams, and technical documentation.
Support metadata management, lineage, data security, and governance controls.
Automate deployments and data workflows using CI/CD pipelines.
Document data architecture, pipelines, and operational processes.
Contribute to project planning, scope definition, and milestone tracking.
Communicate progress, risks, and dependencies to technical and business stakeholders.
Respond to analytics-related user issues in alignment with service expectations.
Stay current with Microsoft Fabric updates and recommend improvements.
Other duties as assigned.

Requirements

Bachelor's Degree in Computer Science, Data Analytics, or related field
Minimum 5 years of work experience with SQL Databases and Power BI
Strong experience as a Data Engineer in Azure-based environments.
Hands-on experience with Microsoft Fabric (or strong background in Azure Synapse, Data Factory, and Power BI with readiness to specialize in Fabric).
Familiarity with Azure services such as Azure Data Lake Storage, Azure SQL, and Azure DevOps.
Experience with version control and CI/CD practices.
Experience developing analytics using Power BI or comparable visualization tools.
Extensive experience with ETL/ELT pipelines including any combination of modern tools such as SSIS, Azure Data Factory, Function Apps, Logic Apps, etc.
Microsoft certifications (e.g., Fabric Analytics Engineer Associate, Azure Data Engineer) a preferred

Benefits

Health Insurance
Flexible Spending Plan
Health Savings Plan
Dental Insurance
Vision Insurance
Paid Time Off
Paid Sick Time
Paid Holidays
401K/with matching
Overtime Pay (when offered)

Applicant Tracking System Keywords

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

Hard Skills & Tools

data pipelinesdata modelsSQLPower BIETLELTdata transformationdata orchestrationCI/CDdata profiling

Soft Skills

collaborationcommunicationproblem-solvingdocumentationproject planningstakeholder engagementanalytical thinkingattention to detailadaptabilitytime management

Certifications

Fabric Analytics Engineer AssociateAzure Data Engineer