Data Engineer, Azure, Fabric, Databricks

Job not on LinkedIn

🔥 1 minute ago

🌽 Illinois – Remote

🌽 Illinois – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Collectiv

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

💼 Consulting

📣 Marketing

🏥 Healthcare

Consulting • Marketing • Healthcare

Collectiv is a leading Microsoft consulting firm specializing in data architecture, analytics, and the integration of AI technologies. They are renowned for their strategic partnerships with organizations to enhance their data initiatives using Microsoft tools such as Azure, Fabric, Power BI, and Copilot. As experts in the Microsoft Data Stack, Collectiv offers a range of services including data strategy, implementation, planning and forecasting, and staff augmentation. Their mission is to streamline data processes and enable effective data-driven decision-making across businesses.

📋 Description

• Design and implement modern data platforms using Microsoft Fabric and Databricks • Build and optimize data ingestion, transformation, and orchestration pipelines using ELT/ETL best practices • Develop scalable lakehouse architectures for analytics, reporting, and downstream data products • Translate business and analytical requirements into technical designs and data models • Develop and maintain semantic models for performant reporting and self-service analytics • Partner with analytics and business teams to deliver trusted datasets and dashboards • Ensure data quality, reliability, and usability across the analytics platform • Write, optimize, and tune SQL and Spark-based transformations for large-scale analytical workloads • Apply version control, CI/CD concepts, and code review standards to data engineering workflows • Ensure solutions meet performance, scalability, and maintainability criteria • Gather requirements from client stakeholders, communicate technical concepts, and manage expectations • Collaborate with project managers, architects, and consultants to align delivery with project goals • Contribute to internal documentation, reusable patterns, and knowledge sharing • Serve as a technical advisor for client data platform decisions • Deliver scalable, well-documented solutions aligned with best practices • Enable business users through reliable data models and analytics-ready datasets • Contribute to Collectiv’s data platform standards and consulting excellence

🎯 Requirements

• Bachelor's degree from an accredited university • 4+ years of experience in data engineering, analytics engineering, or data platform consulting • Hands-on experience with Microsoft Fabric and/or Databricks in production environments; experience with both strongly preferred • Strong SQL skills, including performance tuning and optimization • Experience designing data models for analytics, including star schemas, semantic models, and lakehouse patterns • Experience working in cloud data platforms; Azure preferred • Ability to work independently in a client-facing consulting role • Experience migrating or modernizing data platforms preferred • Familiarity with Power BI dataset modeling and performance optimization preferred • Experience integrating data platforms with downstream applications or APIs preferred • Consulting experience with multiple clients or industries preferred • Strong written and verbal communication skills • Relevant Azure, Fabric, and Databricks certifications highly desirable

🏖️ Benefits

• Fully remote work environment • Quarterly in-person team experiences • Competitive compensation • Professional development opportunities • Top-shelf benefits package • Unlimited time off • 100% covered health insurance for employee and family, including medical, dental, and vision plans • Competitive 401(k) with a 4% match • Educational assistance • Tech stipend • Discounts on various goods and services • Clear growth trajectory • Remote flexibility