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Remote Azure Data Engineer Jobs in Carteret, NJ (NOW HIRING)

Data Engineer

Jersey City, NJ ยท Remote

$117K - $140K/yr

Remote Experience: - 10+Years Mandatory skills: Python, Pyspark, OCI, Healthcare As a Data Engineer with OCI you will be a part of an Agile team to build healthcare applications and implement new ...

New

Lead Data Engineer

Manhattan, NY ยท Remote

$220K - $260K/yr

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 ...

Data Engineer II (Remote US)

New York, NY ยท Remote

$125K - $150K/yr

Data Engineer II LOCATION: REMOTE- US THE ROLE: We're looking for a Data Engineer II to join Splice's Data Engineering team and help scale the platform that powers creator payouts, revenue reporting ...

Data Engineer

Brooklyn, NY ยท Remote

$130K - $200K/yr

We're a remote team but have a small office in Brooklyn, New York. We are looking for a data engineer to design, build and optimize Shaped's real-time and batch streaming infrastructure. You will be ...

Data Engineer

New York, NY ยท On-site +1

$125K - $150K/yr

Remote | Hybrid - United States; Chicago, New York, or Columbus, OH ain Responsibilities: * Design, build, and scale cloud-based data platforms and pipelines (batch and streaming) to support ...

Data Engineer II

New York, NY ยท Remote

$120K - $140K/yr

The Data Engineering Team is responsible for building the data infrastructure that underpins our ... AWS, Azure, GCP) * Experience working with large volumes of data, making models performant and ...

Showing results 41-60

Remote Azure Data Engineer information

See Carteret, NJ salary details

$45.1K

$131.6K

$180.1K

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

As of Sep 5, 2026, the average yearly pay for remote azure data engineer in Carteret, NJ is $131,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,200.00 and $139,500.00 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 Carteret, NJ?

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

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

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

Infographic showing various Remote Azure Data Engineer job openings in Carteret, NJ as of June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $131,596 per year, or $63.3 per hour.

Data Engineer

VeeRteq Solutions Inc.

Jersey City, NJ โ€ข Remote

$117K - $140K/yr

Contractor

Posted 3 days ago

New


Job description

Job Title: Data Engineer with OCI

Location: Remote

Experience: -10+Years

Mandatory skills: Python, Pyspark, OCI, Healthcare

As a Data Engineer with OCI you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards .

Responsibilities:

· 5+ years of experience in data engineering roles

· Strong hands-on experience with Python, PySpark, Spark SQL, JSON, XML is must

· Expertise in processing EDI (837/835), HL7/CCDA, or FHIR bundles

· Proven ability to work with cloud-native data platforms (preferably Oracle Cloud Infrastructure (OCI))

· Experience building data ingestion and transformation pipelines at scale.

· Experience in building metadata driven data pipelines.

· Strong understanding of data lineage, auditability, and governance.

· Experience with building data pipeline Orchestrator.

· Experience with DataOps, Git, CI/CD pipelines, Terraform.

· Experience with Delta Lake, Parquet.


Educational Qualifications: -

  • Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.

· Technical certification in multiple technologies is desirable.