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RethinkFirst

Data Engineer, Microsoft Fabric

RethinkFirst

Data Engineer building Microsoft Fabric Lakehouse and Azure data platforms for a behavioral health technology company. Delivering scalable pipelines, models, integrations, and production data operations.

Posted 8/6/2026full-timeRemote • Alabama, Arizona, Connecticut, Florida, Hawaii, Illinois, Iowa, Kentucky, Louisiana, Maryland, Massachusetts, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Virginia, Washington, Wisconsin, Wyoming • 🇺🇸 United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and maintaining scalable Lakehouse and data warehouse solutions using Microsoft Fabric and Azure Synapse, with a strong focus on ETL/ELT pipeline development and data quality implementation. Proven ability to communicate effectively with both technical and non-technical stakeholders while adhering to Agile/Scrum methodologies.

Highest-signal resume keywords
Azure SynapseMicrosoft FabricETL/ELT Pipeline DevelopmentSQLData Engineering Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Warehouse SolutionsData ModelingPythonC#SQL OptimizationAPI IntegrationsData Quality ImplementationETL/ELT OptimizationMonitoring and AlertingAgile/Scrum Practices
Soft Skills
Strong Communication SkillsInitiativeOwnershipReliabilityCollaboration
Tools & Technologies
Azure DatabricksAI ToolsAzure OpenAIClaudeCursor
Industry Keywords
Healthcare Data SystemsApplied Behavior Analysis

Tech Stack

Tools & technologies
AzureETLPythonSparkSQL

About the role

Key responsibilities & impact
  • Design, build, and maintain scalable Lakehouse and data warehouse solutions on Microsoft Fabric and Azure Synapse
  • Develop, optimize, and deploy ETL/ELT pipelines and reusable frameworks for integrating diverse data sources
  • Implement data quality, validation, and transformation logic
  • Establish data engineering best practices for coding standards, governance, performance, and automation
  • Document models, pipelines, and operational runbooks
  • Develop and optimize dimensional and semantic models for BI and analytics
  • Integrate diverse source systems into the enterprise data warehouse
  • Ensure workloads are scalable, reliable, performant, and secure
  • Tune SQL, Spark jobs, and pipeline performance
  • Implement monitoring, alerting, and operational practices
  • Respond to production incidents, troubleshoot root causes, and implement solutions
  • Identify gaps, propose improvements, and drive work to completion
  • Implement API integrations and services
  • Translate stakeholder requirements into Lakehouse and warehouse solutions
  • Communicate progress, risks, and tradeoffs to technical and non-technical audiences
  • Work within Agile/Scrum practices, including planning, estimation, and demos
  • Collaborate across onshore and offshore teams
  • Conduct and participate in code reviews

Requirements

What you’ll need
  • 2–5 years of hands-on experience in data warehouse/data engineering roles
  • Production experience with Azure Synapse, Microsoft Fabric, and Azure Databricks
  • Strong SQL plus Python and/or scripting for transformation, automation, and tooling
  • Experience building and optimizing ETL/ELT pipelines and data models
  • Experience delivering within Agile/Scrum teams
  • Strong written and verbal communication skills
  • Demonstrated initiative, ownership, and reliability delivering production data solutions
  • Experience with healthcare data systems preferred
  • Familiarity with the ABA (Applied Behavior Analysis) domain preferred
  • Experience with C# for API integrations and services preferred
  • Exposure to AI tools including Azure OpenAI, Claude, and Cursor preferred
  • Experience collaborating with distributed or offshore teams preferred

Benefits

Comp & perks
  • Generous health, dental, & vision benefits package
  • Flexible paid time off
  • 11 paid company holidays
  • 401k + matching
  • Parental leave
  • Access to the award-winning RethinkCare platform supporting neurodiversity in the workplace through parental success, professional resilience, and personal wellbeing