Remote Data & Analytics Engineer (Power BI + Lakehouse)

Collectiv; Chicago (IL); Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Unlimited time off

100% health insurance coverage

401(k) with 4% match

Education assistance

Tech stipend

Discounts on goods and services

Job summary

Collectiv is seeking a Data & Analytics Engineer to bridge backend data platforms with front-end analytics. You will design lakehouse architectures on Microsoft Fabric and Databricks, build robust ELT/ETL pipelines, develop semantic models, and deliver complex Power BI reports for enterprise clients.

You will translate business requirements into scalable data models, optimize SQL and Spark transformations, and ensure data quality across analytics platforms while acting as a trusted technical

Qualifications

• Bachelor’s degree from an accredited university
• 5+ years of combined experience in data engineering, analytics engineering, and/or BI consulting
• Hands‑on production experience with Microsoft Fabric and/or Databricks (both strongly preferred)
• Advanced proficiency in Power BI, including complex data modeling, DAX authoring, and performance optimization
• Power BI dataset modeling at enterprise scale and embedding/API scenarios
• Strong SQL skills, including performance tuning and analytical query design
• Experience designing analytics data models (star schemas, semantic models, lakehouse patterns)
• Demonstrated ability to integrate data from diverse sources into both data platforms and BI tools
• Proven track record in a client‑facing consulting role, working independently and managing stakeholder expectations
• Strong written and verbal communication style; data‑filled, precise, and client‑ready

Responsibilities

• Design and implement modern data platforms leveraging Microsoft Fabric (OneLake, Lakehouse, Data Factory) and Databricks (Spark, Delta Lake, SQL Warehouses)
• Build and optimize data ingestion, transformation, and orchestration pipelines using ELT/ETL best practices
• Develop scalable lakehouse architectures that support analytics, reporting, and downstream data products
• Translate business and analytical requirements into technical data models (star schemas, semantic models, lakehouse patterns)
• 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 all data engineering workflows
• Design and implement complex data models utilizing Power BI, including enterprise‑grade semantic layer development
• Create visually compelling, interactive reports and dashboards that drive measurable client decisions
• Develop, optimize, and peer‑review DAX formulas for accuracy and performance at scale
• Integrate data from diverse sources into Power BI, leveraging SQL skills for efficient extraction and transformation
• Ensure data quality, reliability, and usability across the analytics platform
• Enable self‑service analytics by partnering with client business teams to deliver trusted datasets and dashboards
• Work directly with client stakeholders to gather requirements, communicate technical concepts, and manage expectations
• Provide expert guidance on Power BI solutions and data platform decisions; ensure precision in all data discussions
• Conduct in‑depth research on emerging tools and trends to keep clients ahead of the curve
• Act as a core technical asset in Collectiv’s marketing and business development efforts
• Facilitate training sessions and support client teams through platform adoption and change
• Build strong client relationships through clear communication, confidence with stakeholders, and a warm, personable presence
• Take a proactive approach to delivery and client relationships by anticipating needs, following through on commitments, and looking for opportunities to add value
• Collaborate with project managers, architects, and fellow consultants to align technical delivery with project goals
• Ensure solutions meet quality criteria related to performance, scalability, security, and maintainability
• Contribute to internal documentation, reusable patterns, and knowledge sharing across Collectiv
• Participate in post‑project retrospectives and contribute to Collectiv’s data platform standards
• Join Collectiv for a fully remote work environment with quarterly in‑person team experiences and competitive compensation, including comprehensive benefits

Job description

Collectiv is seeking a Data & Analytics Engineer to bridge backend data platforms with front-end analytics. You will design lakehouse architectures on Microsoft Fabric and Databricks, build robust ELT/ETL pipelines, develop semantic models, and deliver complex Power BI reports for enterprise clients.

You will translate business requirements into scalable data models, optimize SQL and Spark transformations, and ensure data quality across analytics platforms while acting as a trusted technical