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Remote Work From Home Azure Data Engineer Jobs in Illinois

paradigm

IT Data Engineer III - Remote

Lombard, IL · Remote

$112K - $135K/yr

Work independently with departmental leaders, business users, and analytics teams to define data ... Experience with ETL/ELT tools such as SSIS, Azure Data Factory, or equivalent solutions.

paradigm

IT Data Engineer III - Remote

Lombard, IL · Remote

$112K - $135K/yr

Work independently with departmental leaders, business users, and analytics teams to define data ... Experience with ETL/ELT tools such as SSIS, Azure Data Factory, or equivalent solutions.

Hinshaw & Culbertson

Lead Data Engineer

Chicago, IL · On-site +1

$140K - $180K/yr

Design, build, and maintain robust ETL/ELT pipelines that integrate data from core firm systems ... work for major releases or production incidents. Preferred Skills * Advanced experience with Azure ...

Paradigm

IT Data Engineer III - Remote

Lombard, IL · On-site +1

$115K - $140K/yr

Work independently with departmental leaders, business users, and analytics teams to define data ... Experience with ETL/ELT tools such as SSIS, Azure Data Factory, or equivalent solutions.

Next Step Systems

FPGA Engineer - Work From Home

Chicago, IL · On-site +1

$133K - $172K/yr

FPGA Engineer - Work From Home We are seeking a talented and self-motivated FPGA Engineer to join a ... This position is 100% Remote. Responsibilities: - Architect and code FPGA designs in a hardware ...

K1X

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

... Azure preferred). - Understanding of data quality, reliability, and monitoring. - Strong ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

Resultant

Data Engineer - Databricks

Chicago, IL · On-site +1

$118K - $141K/yr

Experience with at least one major cloud platform (Azure, AWS, or GCP) and its data services ... Take ownership of your work from start to finish and deliver on your commitments to clients and ...

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Remote Work From Home Azure Data Engineer information

What is a remote work from home Azure data engineer?

Remote Work From Home Azure Data Engineers are IT professionals who specialize in designing, developing, and managing data solutions on Microsoft Azure, while working remotely from their home or any location outside of a traditional office. Their responsibilities often include building data pipelines, ensuring data security, and optimizing data storage and retrieval using Azure services. These engineers collaborate with teams virtually, leveraging cloud-based tools to maintain and process large datasets. Working remotely, they must have strong communication skills and be self-motivated to deliver efficient cloud data solutions.

What are the key skills and qualifications needed to thrive as a remote work from home Azure data engineer?

To thrive as a Remote Work From Home Azure Data Engineer, you need expertise in data engineering, SQL, data modeling, and experience with Azure cloud services, typically supported by a degree in computer science or a related field. Proficiency with Azure Data Factory, Databricks, Synapse Analytics, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate is highly valued. Strong problem-solving abilities, self-motivation, and effective communication are crucial soft skills, especially for remote collaboration. These skills and qualities ensure the delivery of reliable, scalable data solutions while enabling seamless teamwork and project success in a distributed environment.

What are some common challenges faced by remote work from home Azure data engineers and how can they be addressed?

Remote Azure Data Engineers often encounter challenges such as coordinating with geographically dispersed team members, ensuring secure data access, and managing complex cloud resources without in-person support. To address these, effective communication through regular virtual meetings and clear documentation is essential. Utilizing collaboration tools like Microsoft Teams and Azure DevOps can streamline project workflows, while following best practices for cloud security and automation helps maintain data integrity and system reliability in a remote setting.

What is the difference between Remote Work From Home Azure Data Engineer vs Remote Work From Home Data Analyst?

AspectAzure Data Engineer
Required CredentialsAzure certifications, SQL, Python, data modeling
Work EnvironmentRemote, cloud-based data infrastructure
Industry UsageTech, finance, healthcare, any data-driven sector
Common Search IntentComparing cloud data roles and responsibilities

The Remote Work From Home Azure Data Engineer focuses on designing and managing cloud-based data solutions using Azure services, requiring specific cloud certifications. In contrast, a Remote Work From Home Data Analyst primarily interprets data, creates reports, and uses tools like Excel and SQL. Both roles often work remotely and are in data-centric industries, but their core skills and responsibilities differ significantly.

What are popular job titles related to Remote Work From Home Azure Data Engineer jobs in Illinois?

For Remote Work From Home Azure Data Engineer jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Remote Work From Home Azure Data Engineer jobs in Illinois look for?

The top searched job categories for Remote Work From Home Azure Data Engineer jobs in Illinois are:

What cities in Illinois are hiring for Remote Work From Home Azure Data Engineer jobs?

Cities in Illinois with the most Remote Work From Home Azure Data Engineer job openings:

Remote Work From Home Azure Data Engineer jobs near you

Data Engineer (Azure, Fabric, Databricks)

Collectiv

Chicago, IL • On-site, Remote

$118K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 26 days ago

Job description

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.

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