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Remote Storage Engineer Jobs in Edison, NJ (NOW HIRING)

Security Engineer

New York, NY · Remote

$88 - $94/hr

Implement secure storage patterns for encrypted key shares and audit logs. * Build reliable ... Familiarity with Intel SGX, HSMs, and remote attestation. * Experience with MPC or cryptographic ...

Senior Data Engineer

New York, NY · On-site +1

$176K - $198K/yr

S3 as our distributed object storage / data lake What you'll do * Design and plan new platform data ... See a full list of perks at Location - Remote We are a remote-first company, so our team works from ...

Nextthink Engineer (Remote)

Newark, NJ · Remote

$100K - $120K/yr

NextThink Engineer Location: Newark, NJ (On-site) Experience: 6-8 Years Employment Type: Full-Time ... Develop and manage Remote Actions (Act Engine) for automated endpoint remediation. * Monitor ...

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Integrate data from various sources (APIs, databases, cloud storage, etc.) into a centralized data ... Flexible work hours and remote work options. * Opportunity to work with a talented and passionate ...

Data Engineer

Manhattan, NY · Remote

$140K - $190K/yr

Working across data ingestion, transformation, storage, modeling, and delivery, this individual ... This is a fully remote position that offers a competitive salary range of $140,000 to $190,000 USD ...

AWS CDK Architect--Remote

New York, NY · On-site +1

$70.75 - $93/hr

The ideal architect has a strong background in cloud strategy, infrastructure design, DevOps ... Storage & Content Delivery: S3, CloudFront * API & Integration: API Gateway, EventBridge, SNS/SQS

Software Engineer 3, Mobile

New York, NY · On-site +1

$160K - $185K/yr

Our mobile engineering teams build the digital products that deliver world-class storytelling and ... Storage / Data: Hive, SQFlite, Firebase Remote Config. * CI/CD Pipeline: GitHub Actions, Fastlane ...

Lead Java Spark, Bigdata Engineer

New York, NY · On-site +1

$61 - $80.75/hr

Position Lead Java Spark, Bigdata Engineer Location NYC NY ( Remote , prefer EST / CST Zone ... Implement data stores that support the scalable processing and storage of our high-frequency data.

Provide on-site and remote support for desktops, laptops, servers, networks, Microsoft 365, cloud ... Experience with virtualization, backup and recovery technologies, server hardware, and storage

Project Engineer II

Manhattan, NY · On-site +1

$96K - $120K/yr

United States - Remote or office-based in Charlottesville, VA Reports To: Director, Project ... storage facilities across 15 U.S. states and Ontario, Canada. Headquartered in New York City ...

Showing results 21-40

Remote Storage Engineer information

See Edison, NJ salary details

$10

$58

$86

How much do remote storage engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for remote storage engineer in Edison, NJ is $58.19, according to ZipRecruiter salary data. Most workers in this role earn between $48.27 and $68.70 per hour, depending on experience, location, and employer.

What is a remote storage engineer?

A Remote Storage Engineer is an IT professional who specializes in designing, implementing, and managing data storage solutions for organizations while working remotely. Their responsibilities include configuring storage systems, troubleshooting storage-related issues, ensuring data security, and optimizing storage performance. They often work with technologies such as cloud storage, SAN (Storage Area Network), and NAS (Network Attached Storage). Remote Storage Engineers play a crucial role in maintaining data integrity and accessibility, especially for businesses with distributed or cloud-based infrastructure.

What does a remote storage engineer do?

As a remote storage engineer, you work from home to design and maintain information storage systems for clients. In this virtual position, your duties involve creating a database infrastructure that meets the needs of each client with whom you work. Part of your job involves assessing the specific needs of the client and designing appropriate solutions. You build or configure software, hardware, or cloud-computing systems, and you provide support and training for the employees who use the system. Other responsibilities include making updates, backing up data, and building and monitoring the network that connects to the data storage system.

What are the key skills and qualifications needed to thrive as a remote storage engineer, and why are they important?

To thrive as a Remote Storage Engineer, you need strong expertise in storage technologies, data management, and backup solutions, typically backed by a degree in computer science or a related field. Familiarity with systems like SAN/NAS, cloud storage platforms (e.g., AWS, Azure), and certifications such as CompTIA Storage+ or vendor-specific credentials are highly valued. Excellent problem-solving, communication, and self-management skills help you address issues efficiently while collaborating across remote teams. These skills and qualities ensure robust data availability, security, and seamless support for distributed enterprise environments.

How do remote storage engineers typically collaborate with on-site IT teams to resolve storage issues?

Remote Storage Engineers frequently work closely with on-site IT teams to diagnose and resolve storage-related incidents. This collaboration often involves remote access to systems, regular video or conference calls, and utilizing ticketing systems to track progress. Strong communication skills are essential, as Remote Storage Engineers must clearly document troubleshooting steps and coordinate actions, sometimes even guiding on-site staff through physical hardware checks or replacements. This teamwork ensures efficient resolution of issues despite physical distance.

What is the difference between Remote Storage Engineer vs Cloud Storage Administrator?

AspectRemote Storage EngineerCloud Storage Administrator
Required CredentialsIT certifications, storage-specific certifications (e.g., SNIA, CompTIA Storage+)Cloud platform certifications (e.g., AWS, Azure, Google Cloud)
Work EnvironmentData centers, remote offices, or cloud environmentsCloud platforms, remote or on-premises
Employer & Industry UsageIT companies, data centers, cloud providersCloud service providers, enterprises using cloud storage
Common Search & Comparison IntentUnderstanding storage infrastructure rolesManaging and optimizing cloud storage solutions

The main difference is that Remote Storage Engineers focus on designing, implementing, and maintaining storage systems across various environments, including data centers and cloud platforms. Cloud Storage Administrators primarily manage and optimize storage within cloud platforms like AWS or Azure. Both roles require storage knowledge, but their focus and certifications differ based on the environment they work in.

What job categories do people searching Remote Storage Engineer jobs in Edison, NJ look for?

The top searched job categories for Remote Storage Engineer jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Remote Storage Engineer jobs?

Cities near Edison, NJ with the most Remote Storage Engineer job openings:

Infographic showing various Remote Storage Engineer job openings in Edison, NJ as of September 2026, with employment types broken down into 1% Internship, 94% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,037 per year, or $58.2 per hour.

Databricks Engineer / Architect

Jersey City, NJ • Remote

Celersoft
IT Services • 1 - 10 employees

Contractor

Posted 6 days ago


Job description

Position: Databricks Engineer / Architect
Employment Type: Contractual
Work Arrangement: Remote
Experience: 10+ years overall, with 4+ years of hands-on Databricks experience
Location: Remote
About the Role
We are seeking an experienced Databricks Engineer / Architect to design, develop, and optimize modern data platforms and large-scale data engineering solutions using Databricks and cloud technologies.
The ideal candidate will have strong hands-on expertise in Databricks, Apache Spark, Python/SQL, Delta Lake, data architecture, ETL/ELT pipelines, and cloud platforms. This role requires someone who can operate at both the engineering and architecture levels—translating business requirements into scalable, secure, and high-performance data solutions.
Key Responsibilities
Design and architect scalable, reliable, and high-performance data platforms using Databricks.
Develop and optimize data pipelines using PySpark, Python, SQL, Spark, and Delta Lake.
Design modern Lakehouse architectures and implement enterprise-grade data solutions.
Develop batch and streaming data pipelines and integrate data from multiple sources.
Implement Delta Lake capabilities including schema evolution, partitioning, optimization, and data lifecycle management.
Work with Databricks Workflows, Jobs, notebooks, clusters, and related platform capabilities.
Design and implement data ingestion, transformation, and orchestration frameworks.
Optimize Spark workloads, Databricks clusters, SQL queries, and data pipelines for performance and cost.
Establish and implement data engineering best practices, coding standards, CI/CD, and deployment processes.
Implement appropriate security, governance, access controls, and data quality mechanisms.
Collaborate with data scientists, analysts, application teams, cloud engineers, and business stakeholders.
Provide technical leadership and mentorship to data engineering teams.
Evaluate existing data architectures and recommend improvements, modernization strategies, and technology adoption.
Troubleshoot complex production issues and provide root-cause analysis and long-term solutions.
Participate in architecture reviews, technical design sessions, and documentation of enterprise data solutions.
Required Technical Skills
Databricks & Data Engineering
Strong hands-on experience with Databricks
Advanced knowledge of Apache Spark / PySpark
Strong proficiency in Python and SQL
Extensive experience with Delta Lake
Experience designing and implementing scalable ETL/ELT pipelines
Strong understanding of Lakehouse architecture and modern data platforms
Experience with batch and real-time/streaming data processing
Cloud Technologies
Strong experience with at least one major cloud platform:
Microsoft Azure - Azure Data Lake Storage, Azure Data Factory, Azure Synapse, Azure Key Vault, Azure DevOps
AWS - S3, Glue, Lambda, IAM, Redshift, CloudWatch
GCP - Cloud Storage, BigQuery, Dataflow, Pub/Sub, IAM
Preferred Qualifications
Databricks certifications such as Databricks Certified Data Engineer or Databricks Certified Data Engineer Professional
Experience with Unity Catalog and Databricks governance capabilities
Experience implementing enterprise Medallion Architecture (Bronze/Silver/Gold)
Experience with structured streaming and event-driven architectures
Knowledge of data modeling and dimensional modeling
Experience with Kafka or other messaging/streaming platforms
Experience with data quality frameworks and observability
Familiarity with MLOps and integration with machine learning platforms
Strong communication, documentation, and stakeholder-management skills
Education
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
Equivalent professional experience may be considered.
What We’re Looking For
The successful candidate should be:
A strong hands-on Databricks Engineer who can also think at the architecture level.
Comfortable working independently in a fully remote environment.
Capable of translating complex business requirements into scalable technical solutions.
Strong in problem-solving, troubleshooting, and performance optimization.
An effective communicator who can work with both technical and non-technical stakeholders.
Comfortable providing technical leadership and driving architecture decisions.