Data Engineer (Azure, Fabric, Databricks)

Collectiv

Remote (United States) Remote Full-time 14 days ago
Workplace
Remote
Location
United States
Who can apply
Remote for people based in the United States

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About the role

Role Overview

The Data Engineer is responsible for designing, implementing, and supporting modern data platforms using Microsoft Fabric and Databricks, with a strong emphasis on lakehouse architecture, analytics engineering, and semantic modeling. This role is client-facing and requires translating business requirements into scalable technical solutions while adhering to data engineering best practices.

You will collaborate with client stakeholders, Collectiv consultants, and cross-functional teams to deliver data platforms that support reporting, advanced analytics, and self-service BI.

Key Responsibilities

Client Delivery & Solution Design

* Design and implement modern data platforms leveraging Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI) 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 designs and data models

Analytics & BI Enablement

* Develop and maintain semantic models that enable performant reporting and self-service analytics * Partner with analytics and business teams to deliver trusted datasets and dashboards (Power BI or equivalent) * Ensure data quality, reliability, and usability across the analytics platform

Engineering Best Practices

* 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 quality criteria related to performance, scalability, and maintainability

Consulting & Collaboration

* Work directly with client stakeholders to gather requirements, communicate technical concepts, and manage expectations * Collaborate with project managers, architects, and fellow consultants to align technical delivery with project goals * Contribute to internal documentation, reusable patterns, and knowledge sharing across Collectiv

Required Qualifications

* 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 (star schemas, semantic models, lakehouse patterns) * Experience working in cloud data platforms (Azure preferred) * Ability to work independently in a client-facing consulting role

Preferred Qualifications

* Experience migrating or modernizing data platforms (e.g., legacy DW to lakehouse) * Familiarity with Power BI dataset modeling and performance optimization * Experience integrating data platforms with downstream applications or APIs * Consulting experience with multiple clients or industries * Strong written and verbal communication skills * Relevant Azure certifications (e.g., Azure Solutions Architect, Azure Data Engineer), Fabric (DP-600, DP-700) certifications, and Databricks certifications are highly desirable

What Success Looks Like in This Role

* Clients trust you as a technical advisor for their data platform decisions * Delivered solutions are scalable, well-documented, and aligned to best practices * Business users are enabled through reliable data models and analytics-ready datasets * You actively contribute to Collectiv’s data platform standards and consulting excellence

Join Collectiv for a rewarding career in a fully remote work environment with quarterly in person team experiences and a competitive compensation. We provide a clear growth trajectory with professional development opportunities and a top-shelf benefits package. Enjoy unlimited time off and 100% covered health insurance, encompassing medical, dental, and vision plans for you and your family. Our comprehensive offerings, from a competitive 401(k) with a 4% match to educational assistance, tech stipend, and discounts on various goods and services, demonstrate our commitment to your well-being and success. At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and unparalleled benefits prioritizing your financial, physical, and emotional well-being.

Collectiv is the leading boutique consulting and strategy firm specializing in Analytics, Planning and AI with Power BI and the Microsoft Data Stack.

Our mission at Collectiv is simple: We help enterprises make better decisions.

Our Core Values:

Growth Mindset– Bring solutions, not problems.

Excel with Humility – Be humbly brilliant.

Communicate Actively and Empathetically – Listen, ask, understand, help.

Work Hard, Play Hard – Results are proportional to effort.

Keep Calm and Carry On – Stay cool, calm and Collectiv.

Originally posted on Himalayas

About remote Data Engineer jobs

Open jobs
815 open remote Data Engineer jobs, 190 of them posted in the last 7 days. See all Remote Data Engineer jobs
Typical advertised pay
$127,000 – $189,000 a year for the middle half of the 208 job ads from 143 employers that state a salary in US dollars (median $153,000). This is base pay as advertised, not total compensation. Remote Data Engineer salary
Skills the job ads ask for most
  • SQL 79%
  • Python 79%
  • ETL 75%
  • Data modeling 50%
  • Data quality 49%
  • AWS 47%

Share of the 470 newest postings for the role that name each skill. Resume keywords for Data Engineer jobs

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