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Remote Azure Data Engineer Jobs in Parsippany, NJ

Data Engineer

Manhattan, NY ยท Remote

$140K - $190K/yr

  • Medical

  • Retirement

This is a fully remote position that offers a competitive salary range of $140,000 to $190,000 USD ... Azure * Use infrastructure-as-code, CI/CD, and automation practices to improve deployment speed ...

Data Engineer II

Manhattan, NY ยท Remote

$117K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Engineer II Location-Type: Remote (EST hours preferred) Start Date Is: ASAP Duration ... Experience working in cloud environments (AWS preferred, GCS, Azure) * Experience managing complex ...

Data Engineer - Remote

Jersey City, NJ ยท On-site +1

$125K - $150K/yr

Data Engineer Duration: 6 -12 months Location: Remote project Skill Sets & Experiences- * Experience modeling using RDF TripleStore for Graph Database * Strong experience using SQL * Strong ...

Lead Data Engineer

Manhattan, NY ยท Remote

$220K - $260K/yr

  • Medical

  • Retirement

This is a fully remote position that offers a competitive salary range of $220,000 to $260,000 USD ... Experience deploying and operating cloud-based data infrastructure on AWS, GCP, or Azure * Advanced ...

Senior Cloud Data Engineer

Manhattan, NY ยท On-site +1

$116K - $158K/yr

This role will be remote without any travel required. The ideal candidate will be available during ... Minimum of 10 years experience with Azure Cloud * Minimum of 10 years experience with the following ...

Showing results 21-40

Remote Azure Data Engineer information

See Parsippany, NJ salary details

$44.8K

$130.5K

$178.5K

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

As of Aug 20, 2026, the average yearly pay for remote azure data engineer in Parsippany, NJ is $130,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $138,300.00 per year, depending on experience, location, and employer.

What is a remote Azure Data Engineer?

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 as a remote Azure Data Engineer?

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.

What are popular job titles related to Remote Azure Data Engineer jobs in Parsippany, NJ?

For Remote Azure Data Engineer jobs in Parsippany, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Azure Data Engineer jobs in Parsippany, NJ look for?

The top searched job categories for Remote Azure Data Engineer jobs in Parsippany, NJ are:

What cities near Parsippany, NJ are hiring for Remote Azure Data Engineer jobs?

Cities near Parsippany, NJ with the most Remote Azure Data Engineer job openings:

Infographic showing various Remote Azure Data Engineer job openings in Parsippany, NJ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $130,451 per year, or $62.7 per hour.

Azure Databricks Platform Support Engineer 3641534

Axiom Path

New York, NY โ€ข Remote

$70 - $75/hr

Full-time

Posted 23 days ago


Job description

Be Part Of A High-Performing Team:

Join a technology organization supporting data and analytics platforms within a global financial services environment. This team is focused on building secure, scalable cloud infrastructure that enables application teams to use Azure and Databricks effectively. The environment combines hands-on technical support, infrastructure automation, platform governance, and close collaboration across engineering and application teams.

What's In Store For You:

  • Engagement: W2 only (no C2C/1099).
  • Fully remote work arrangement aligned primarily with Eastern Time business hours.
  • Opportunity to deepen experience across Azure, Databricks, Infrastructure as Code, CI/CD, and enterprise data-platform operations.
  • Exposure to cloud resource provisioning, Databricks governance, application onboarding, and process automation.
  • Long-term contract opportunity supporting a highly visible enterprise technology team.

How You Will Make An Impact:

  • Provide first-level technical support to application teams through ServiceNow, resolving common Azure and Databricks platform requests.
  • Gather technical requirements and guide application teams through the onboarding of new Data Landing Zones.
  • Execute pipelines, scripts, and Infrastructure as Code deployments to provision or modify Azure and Databricks resources.
  • Support the deployment of frequently requested cloud services using standardized, repeatable processes.
  • Automate recurring support activities to improve response times, reliability, and operational efficiency.
  • Troubleshoot access, permissions, authentication, deployment, and platform configuration issues.
  • Create and maintain clear documentation covering support procedures, workflows, and onboarding processes.
  • Partner with application developers, cloud engineers, and platform stakeholders to resolve requests and improve the user experience.

Do you bring proven success in Azure Databricks platform support?

  • 1–3 years of hands-on experience supporting or administering Databricks environments.
  • 1–3 years of experience working with Azure Data Factory.
  • Previous experience in application support, production support, cloud operations, or technical platform support.
  • Working knowledge of Microsoft Azure and familiarity with AWS or Google Cloud Platform.
  • Experience using Git-based source-control platforms such as GitHub, GitLab, or Azure Repos.
  • Ability to execute and troubleshoot deployment pipelines, scripts, and cloud provisioning workflows.
  • Strong analytical skills with the ability to gather requirements and translate them into technical actions.
  • Clear written and verbal communication skills, particularly when supporting application teams and documenting procedures.
  • Experience with Databricks Unity Catalog, role-based access control, authentication methods, or Delta Sharing is strongly preferred.
  • Experience with Infrastructure as Code tools such as Terraform, Bicep, or AWS CDK is preferred.
  • Familiarity with Azure DevOps, Jenkins, or GitHub Actions is preferred.
  • Scripting experience with Python, PowerShell, or Bash is preferred.