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Remote Azure Data Engineer Jobs (NOW HIRING)

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141K/yr

Relevant Azure certifications (e.g., Azure Solutions Architect, Azure Data Engineer), Fabric (DP ... At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and ...

Azure Data Architect

Malvern, PA · Remote

$65 - $84.75/hr

Remote Duration: Long Term Contract Visa- Only US Citizen, H4 EAD, L2S, TN Visa Experience: 12 to 16 years; relevant experience of 5+ Years of experience as Azure Data Architect * Azure Architect ...

Data Engineer

$117K - $140K/yr

Azure Data Engineer Associate preferred * Any other work-related qualifications needed for the role ... Work Location Remote work is preferred, with occasional on-site support in Washington, DC, as ...

Lead Data Engineer : Microsoft Fabric

$104K - $138K/yr

We have a contract opportunity for Lead Data Engineer ( Remote) with one of our clients. Detailed s ... Azure DevOps, Git, CI/CD * Experience handling PII data , data governance, lineage, and compliance

... Azure consulting services. This is a 100% remote role, where employees are in the USA, working US ... Strong expertise in PySpark, SQL, Python, ETL/ELT, and software/data engineering patterns.

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

... Azure SQL Database, Azure Synapse Analytics, and large-scale structured and semi-structured ... This remote role is only open to individuals that reside in one of the following states at the time ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Implement and manage data warehouses and data lakes using Azure Synapse Analytics, SQL Server, or ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Implement and manage data warehouses and data lakes using Azure Synapse Analytics, SQL Server, or ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Implement and manage data warehouses and data lakes using Azure Synapse Analytics, SQL Server, or ...

Data Engineer - Databricks

NM · Remote

$117K - $140K/yr

Collaborate with Azure, IT, and DevOps teams to implement CI/CD and DataOps best practices. * Monitor, troubleshoot, and continuously improve data platform performance and reliability. Your Skills ...

Senior Data Engineer

Brookfield, WI · Remote

$108K - $147K/yr

... Azure SQL Database, Azure Synapse Analytics, and large-scale structured and semi-structured ... This remote role is only open to individuals that reside in one of the following states at the time ...

New

Senior Data Engineer

Brookfield, WI · On-site +1

$100K - $136K/yr

... Azure SQL Database, Azure Synapse Analytics, and large-scale structured and semi-structured ... This remote role is only open to individuals that reside in one of the following states at the time ...

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

... Azure SQL Database, Azure Synapse Analytics, and large-scale structured and semi-structured ... This remote role is only open to individuals that reside in one of the following states at the time ...

Senior Data Engineer

$108K - $147K/yr

The ideal candidate will have a deep understanding of Microsoft Azure and a proven track record of ... At least 10 years of experience in data engineering, with heavy focus on Azure Synapse and Azure ...

$194K/yr

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Design, build and manage scalable data pipelines using Azure Data Factory (ADF), Azure Data Lake ...

Showing results 41-60

Remote Azure Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do remote azure data engineer jobs pay per year?

As of Aug 2, 2026, the average yearly pay for remote azure data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are some common challenges a Remote Azure Data Engineer might face, and how are they typically addressed?

A common challenge for Remote Azure Data Engineers is ensuring secure, reliable data transfer and integration across distributed systems while collaborating with teams that may be in different time zones. This is typically addressed by implementing best practices for cloud security, employing automated monitoring, and leveraging project management tools to stay aligned with cross-functional teams. Clear, proactive communication is essential in a remote environment, as is documentation to keep everyone updated on project progress. Many organizations also offer regular virtual check-ins and access to knowledge-sharing platforms to foster collaboration. By staying organized and proactive, remote Azure Data Engineers can successfully deliver scalable data solutions in a distributed work setup.

What is a Remote Azure Data Engineer job?

A Remote Azure Data Engineer is responsible for designing, implementing, and managing data solutions using Microsoft Azure cloud services while working from a remote location. They work with tools like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics to process, store, and analyze data. Their role includes data pipeline development, performance optimization, and ensuring data security. Collaboration with data scientists, analysts, and business teams is common to support data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Remote Azure Data Engineer position, and why are they important?

To thrive as a Remote Azure Data Engineer, you need expertise in designing, implementing, and managing data solutions using Microsoft Azure, along with proficiency in SQL, data warehousing, and ETL processes. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving skills, effective communication, and the ability to work autonomously make candidates stand out in this remote role. These skills ensure that data pipelines are robust, secure, and scalable, enabling organizations to make data-driven decisions efficiently.

More about Remote Azure Data Engineer jobs
What cities are hiring for Remote Azure Data Engineer jobs? Cities with the most Remote Azure Data Engineer job openings:
What are the most commonly searched types of Azure Data Engineer jobs? The most popular types of Azure Data Engineer jobs are:
What states have the most Remote Azure Data Engineer jobs? States with the most job openings for Remote Azure Data Engineer jobs include:
Infographic showing various Remote Azure Data Engineer job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 1% Part Time, and 6% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer (Azure, Fabric, Databricks)

Collectiv

Chicago, IL • On-site, Remote

$118K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 9 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.