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Remote Azure Data Engineer Jobs in Delaware (NOW HIRING)

System One

Cloud Infrastructure Engineer II

Blades, DE · On-site +1

$52.50 - $70.25/hr

... data center maintenance. * Perform day-to-day administration of AWS and Azure resources ... This role operates in a physical office environment with hybrid (partially remote) eligibility.

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Remote Azure Data Engineer information

See Delaware salary details

$44.5K

$129.8K

$177.7K

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

As of Jun 1, 2026, the average yearly pay for remote azure data engineer in Delaware is $129,828.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,600.00 and $137,600.00 per year, depending on experience, location, and employer.

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.

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.
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What are popular job titles related to Remote Azure Data Engineer jobs in Delaware? For Remote Azure Data Engineer jobs in Delaware, the most frequently searched job titles are:
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Remote Azure Data Engineer jobs near you
Infographic showing various Remote Azure Data Engineer job openings in Delaware as of May 2026, with employment types broken down into 82% Full Time, 7% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,828 per year, or $62.4 per hour.
Data Engineer (Short-Term Engagement)

Data Engineer (Short-Term Engagement)

Serverless Guru

Wilmington, DE • On-site, Remote

$111.10K - $133.40K/yr

Temporary

Posted 12 days ago

Job description

We are looking for 5+ years of overall data engineering experience, with expert-level hands-on experience in CData, Snowflake, and Looker schema development. As a senior data engineer, you will bring best practices for modern data architecture, data modeling, and analytics enablement, helping ensure that data pipelines and reporting layers are performant, scalable, and easy for business users to consume. Your expertise in data integration and modeling will be critical to the success of this short-term engagement and will directly impact the client's ability to make data-driven decisions.
About the Role
As a Data Engineer, you will work closely with technical and business teams to build and optimize data pipelines and analytics layers. You will be responsible for integrating multiple data sources using CData, transforming and modeling data within Snowflake, and creating structured, scalable Looker schemas to support reporting and insights.
Key Responsibilities
  • Design, build, and optimize data pipelines using CData connectors
  • Ingest and transform data into Snowflake for analytics and reporting
  • Develop and maintain scalable data models within Snowflake
  • Build and optimize Looker schemas (LookML) for business intelligence use cases
  • Ensure data quality, consistency, and reliability across systems
  • Collaborate with stakeholders to understand reporting requirements and translate them into technical solutions
  • Troubleshoot and resolve data pipeline and modeling issues
  • Implement best practices for data governance, performance optimization, and scalability

Required Skills & Experience
  • 5+ years of overall data engineering experience
  • Expert-level experience with CData (connectors, integrations, and data ingestion)
  • Strong expertise in Snowflake (data modeling, performance tuning, ETL/ELT)
  • Extensive experience building Looker schemas (LookML)
  • Strong SQL skills and experience working with large datasets
  • Experience designing and implementing end-to-end data pipelines
  • Familiarity with data integration patterns and best practices
  • Experience working in Agile development environments
  • Strong problem-solving and communication skills

Preferred Qualifications
  • Experience with BI tools beyond Looker
  • Familiarity with modern data stack tools
  • Experience with data governance and data quality frameworks
  • Exposure to cloud-based data ecosystems
  • Experience with manufacturing or distribution data (nice to have)

Engagement Details
  • Duration: 4-5 weeks (40 hrs/week)
  • Timezone: EST
  • Client industry: manufacturing and distribution (related industry experience not required; the role is fully on the data side)

Join our team and help deliver a high-impact data solution that enables smarter decision-making and scalable analytics for our client.

Apply