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Remote Azure Data Engineer Jobs in Delaware (NOW HIRING)

Norstella

Software Engineer Intern

Dover, DE · Remote

Remote, United States Date Posted: May 5, 2026 Employment Type: Intern Job ID: R-1948 Description ... Make data driven commercial and financial decisions * Match and recruit patients for clinical ...

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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$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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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 Solution Architect

Data Solution Architect

Syntricate Technologies

Wilmington, DE • On-site, Remote

$65 - $70/hr

Other

Posted 13 days ago

Job description

Data Solution Architect

Buffalo, NY or Wilmington, DE (3 days onsite/2 days remote), OR Remote w/ travel 6+-month contract to hire Web Cam Interview $65-$70/Hr on W2 (Will be expected to travel to Buffalo, NY and/or Wilmington, DE every 4-6 weeks with Monday through Thursday in office) Travel expense reimbursed by client Proven track record in deploying scalable financial systems (e.g., payment gateways, digital wallets, stablecoin or cryptocurrency systems preferred) (required).

Job Title: Data Solution Architect Location: Buffalo, New York (Preferred) / Remote (Will be expected to travel to Buffalo, NY every 4-6 weeks with Monday through Thursday in office.)

Job Summary

The Data Solution Architect is responsible for designing and delivering enterprise-grade data platforms and solutions that enable advanced analytics and business intelligence. This role requires deep expertise in data engineering, cloud-native architecture, and modern data technologies. The architect will work closely with engineering, product, and compliance teams to build secure, scalable, and regulatory-compliant data solutions. All solutions must align with the principles, standards, and reference architectures established by the Enterprise Architecture function, ensuring consistency, interoperability, and strategic fit across the organization.

Key Responsibilities:
  • Solution Architecture: Architect and deliver cloud-based data platforms (e.g., Azure Data Lake) and scalable data pipelines using technologies such as Databricks, Kafka, etc.
  • ETL/ELT Frameworks: Develop and implement ETL/ELT frameworks for ingesting, transforming, and integrating data from diverse sources, including legacy financial systems, SaaS platforms, and real-time data streams.
  • Data Platform Deployment: Design and oversee deployment of data warehouses, lakehouses, and analytics sandboxes to support business intelligence, machine learning, and reporting needs inclusive of Power BI and Snowflake.
  • Data Governance: Define and enforce data governance, metadata management, and data quality standards in accordance with Enterprise Architecture guidance and regulatory requirements.
  • Enterprise Architecture Collaboration: Collaborate with Enterprise Architecture to ensure all solutions adhere to architectural standards, reference models, and technology roadmaps.
  • Technology Evaluation: Lead technical evaluations and proof-of-concept projects for emerging data technologies (e.g., real-time analytics, data mesh, AI/ML platforms).
  • Technical Documentation: Produce deliverables such as architecture diagrams, data flow maps, security models, and technical documentation for solution handoff and operational support.
  • Agile/DevOps Leadership: Guide Agile/DevOps teams in implementing CI/CD pipelines, automated testing, and infrastructure-as-code for data solutions.
Expected Skills:
  • Data engineering platforms, big data technologies, and cloud-native development (microservices, Kubernetes).
  • API design (REST) and integration tools (ETL/ELT).
  • Stakeholder communication (technical and non-technical audiences).
  • Leadership in Agile/DevOps environments.
  • Analytical problem-solving for complex data systems.
  • Project management: proficiency in tools like Jira; familiarity with SDLC and CI/CD pipelines.
Expected Knowledge:
  • Foundational Understanding: Data modeling, data pipeline orchestration, data quality management, metadata management, and data lifecycle.
  • Data Platforms: Data lakes, warehouses, and lake house architectures; distributed systems and cloud data services.
  • Data Engineering: ETL/ELT processes, real-time and batch data processing, data integration, and automation.
  • Financial Systems: Payment networks, liquidity management, and settlement processes (as relevant to data flows).
  • Regulatory Landscape: Global data privacy regulations (GDPR, CCPA) and compliance tools.
  • Security: Data encryption, access controls, and penetration testing methodologies.
Qualifications:
  • Education: Bachelor's/Master's in Computer Science, Engineering, or related field.
  • Certifications: AWS/Azure Solutions Architect, Certified Data Engineer, or similar.
  • Experience: 5+ years in solution architecture or technical implementation, with 2+ years in data engineering or enterprise data platforms.
  • Proficient in system design, integration, and implementation across multiple technology domains.
  • Proven track record in deploying scalable financial systems (e.g., payment gateways, digital wallets, stablecoin or cryptocurrency systems preferred).
  • Hands-on experience with cloud platforms (Azure/AWS/GCP), containerization (Kubernetes), and DevOps practices.
  • Excellent communication, collaboration, and critical thinking skills.
  • Understanding of financial regulations, compliance, and security standards.
Expected Deliverables:
  • End-to-end solution architectures for data platforms, including detailed diagrams, technology stack specifications, and integration patterns.
  • ETL/ELT pipeline designs and implementation plans for onboarding new data sources and modernizing legacy systems.
  • Data governance frameworks, including policies for data quality, lineage, and access control, aligned with Enterprise Architecture standards.
  • Technical documentation packages: architecture blueprints, operational runbooks, and security protocols.
  • Prototypes and proof-of-concept implementations demonstrating new data engineering capabilities (e.g., streaming analytics, automated data quality checks).
  • Performance benchmarks and scalability assessments for deployed solutions.
  • Risk mitigation plans, including security audit findings and disaster recovery strategies.

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