Data Engineer (Microsoft Fabric)

About the Role

We're seeking a highly skilled and motivated hands-on Data Engineer to design, build, and maintain our Microsoft Fabric Lakehouse as we migrate our Azure-Synapse enterprise data warehouse and analytics platform. You'll own the full lifecycle — from designing scalable pipelines and dimensional models to delivering reliable, secure data across the organization and supporting it in production.

You'll thrive here if you're fluent across Microsoft Fabric, Azure Synapse, and Databricks, comfortable using C# for API integrations, communicate clearly with both technical and business partners, and take genuine ownership of outcomes from design through production support.

What You'll Do

Data Modeling & Lakehouse / Warehouse Development

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 framework for seamless data integration from multiple diverse sources

Implement data quality, validation, and transformation logic across pipelines, ensuring accuracy and consistency

Establish best practices for data engineering, including coding standards, governance, performance, and automation

Document models, pipelines, and operational runbooks so others can support and extend the platform

Develop and optimize dimensional/Semantic models for advanced BI and analytics

Data Integration & Operations

Integrate diverse source systems into the enterprise data warehouse

Ensure pipelines and Lakehouse/warehouse workloads are scalable, reliable, performant, and secure

Tune SQL, Spark jobs, and pipeline performance for cost and reliability

Implement monitoring, alerting, and operational practices for data workflows

Respond to production incidents, trouble-shoot root-causes, and implement effective solutions

Proactively identify gaps, propose improvements, and drive work to completion with minimal oversight

Implement API integrations and services where the platform requires it

Collaboration & Delivery

Partner with architects, analysts, product, and business stakeholders to translate requirements into Lakehouse/warehouse solutions

Communicate progress, risks, and tradeoffs clearly to both technical and non-technical audiences

Work within Agile/Scrum practices — planning, estimation, and demos

Collaborate effectively across onshore and offshore teams

Conduct and participate in Code Reviews to ensure code quality and maintainability

What You Bring

Required Qualifications

2-5 years of hands-on experience in data warehouse / data engineering roles

Practical, production experience across Azure Synapse, Microsoft Fabric, and Azure Databricks

Strong SQL plus Python and/or scripting for transformation, automation, and tooling

Proven 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 in delivering production data solutions

Preferred Qualifications

Experience with healthcare data systems

Familiarity with the ABA (Applied Behavior Analysis) domain

Experience with C# for API integrations and services

Exposure to AI (Azure OpenAI, Claude, Cursor)

Experience collaborating with distributed or offshore teams

Who You Are

You take initiative — you spot issues and opportunities, then drive solutions forward

You're accountable — you own quality, reliability, and follow-through

You communicate clearly — you can explain technical work to any audience

Benefits:

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

Skills Required
2-5 years of hands-on experience in data warehouse / data engineering roles
Production experience across Azure Synapse, Microsoft Fabric, and Azure Databricks
Strong SQL plus Python and/or scripting for transformation, automation, and tooling
Proven 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 in delivering production data solutions
Experience with healthcare data systems
Familiarity with the ABA (Applied Behavior Analysis) domain
Experience with C# for API integrations and services
Exposure to AI (Azure OpenAI, Claude, Cursor)
Experience collaborating with distributed or offshore teams