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Data Analytics Platform Engineer Jobs in New Jersey

Capgemini

Platform Engineer

Mount Laurel Township, NJ · On-site

$250/hr

Develop, support, and optimize data processing and analytics workloads using Azure Databricks ... Strong expertise in platform engineering, cloud infrastructure, and Kubernetes (AKS preferred)

Exiger

Platform Engineer

Jersey City, NJ · On-site

Solve ambiguous technical problems using data, experimentation, and evidence rather than ... analyst evaluations and 50+ awards. Learn more at Exiger.com and follow Exiger on LinkedIn . At ...

DataFitch

Data Analyst

Jersey City, NJ · On-site

$125 - $150/hr

DataFitch is a Unified Data Analytics platform that simplifies data access, automates manual ... This role operates as a lead‑level liaison between Data Engineers, Actuaries, and Business ...

Theradex Oncology

Platform Engineer

Princeton, NJ · On-site

$150 - $200/hr

What You'll Do Platform Engineer - AWS Certified Professional - Princeton, NJ (Hybrid) - Will ... Troubleshoot technical problems, support incident management and provide root cause analysis.

Theradex Oncology

Platform Engineer

Princeton, NJ · On-site +1

$140K - $165K/yr

What You'll Do Platform Engineer - AWS Certified Professional - Princeton, NJ (Hybrid) - Will ... Troubleshoot technical problems, support incident management and provide root cause analysis.

United States Cold Storage

AI Platform Engineer

Camden, NJ · On-site

$105K - $130K/yr

... incident analysis, ticket resolution, and repetitive delivery tasks. * Rapid Prototyping and ... Data and integration skills. Ability to work with REST APIs, JSON, SQL, relational databases ...

United States Cold Storage

AI Platform Engineer

Camden, NJ · On-site

$105K - $130K/hr

... incident analysis, ticket resolution, and repetitive delivery tasks. * Rapid Prototyping and ... Data and integration skills. Ability to work with REST APIs, JSON, SQL, relational databases ...

Wells Fargo

Lead Redis Platform Engineer

Iselin, NJ · Remote

Review and analyze significant platform incidents and outages to identify root causes and implement ... Experience supporting enterprise-scale caching, distributed data platforms, database technologies ...

Theradex Oncology

Platform Engineer

Princeton, NJ · On-site +1

$140K - $165K/yr

Platform Engineer - AWS Certified Professional - Princeton, NJ (Hybrid) - Will consider regionally ... Troubleshoot technical problems, support incident management and provide root cause analysis.

Theradex Oncology

Platform Engineer

Princeton, NJ · On-site

$140K - $165K/yr

What You'll Do Platform Engineer - AWS Certified Professional - Princeton, NJ (Hybrid) - Will ... Troubleshoot technical problems, support incident management and provide root cause analysis.

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All JobsData Analytics Platform Engineer JobsData Analytics Platform Engineer Jobs in New Jersey

Data Analytics Platform Engineer information

What is a data analytics platform engineer?

A Data Analytics Platform Engineer is a technology professional who designs, builds, and maintains the infrastructure that enables organizations to collect, store, process, and analyze large volumes of data. They work with various data platforms, cloud services, and analytics tools to ensure data can be accessed efficiently and securely by analysts and data scientists. Their responsibilities include integrating different data sources, optimizing data pipelines, ensuring scalability and performance, and implementing best practices for data governance and security. This role is vital for organizations aiming to leverage data-driven insights to make informed business decisions.

What are the key skills and qualifications needed to thrive as a data analytics platform engineer?

To thrive as a Data Analytics Platform Engineer, you need expertise in data engineering, cloud platforms, and programming languages such as Python or Java, often supported by a degree in computer science or a related field. Familiarity with technologies like Apache Spark, Hadoop, SQL/NoSQL databases, and cloud services (AWS, Azure, or GCP) as well as certifications in these areas is highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate complex technical concepts clearly are crucial soft skills. These abilities are essential for building robust, scalable analytics solutions and ensuring seamless data processing to drive business insights.

What are some common challenges faced by data analytics platform engineers when integrating new data sources?

Data Analytics Platform Engineers often encounter challenges such as ensuring compatibility between diverse data formats, maintaining data quality during ingestion, and managing data security and privacy concerns. Integrating new sources may also require updating data pipelines, coordinating with data owners, and troubleshooting connection or schema issues. Effective communication with stakeholders and thorough testing are essential to minimize disruptions and maintain platform reliability.

What is the difference between Data Analytics Platform Engineer vs Data Engineer?

AspectData Analytics Platform EngineerData Engineer
Primary FocusBuilding and maintaining analytics platforms and tools for data analysisDesigning, constructing, and maintaining data pipelines and infrastructure
Skills & CertificationsData platform tools, SQL, cloud services, analytics frameworksETL processes, database systems, programming (Python, Java), cloud platforms
Work EnvironmentCollaborates with data analysts and data scientistsWorks closely with data engineers and software developers
Industry UsageUsed in organizations focusing on data analytics and BIUsed across industries for data infrastructure and pipeline development

While both roles involve working with data infrastructure, Data Analytics Platform Engineers focus on creating platforms for data analysis, whereas Data Engineers build the pipelines and systems that enable data flow and storage. Understanding these differences helps in choosing the right career path or job fit.

What cities in New Jersey are hiring for Data Analytics Platform Engineer jobs?

Cities in New Jersey with the most Data Analytics Platform Engineer job openings:

Infographic showing various Data Analytics Platform Engineer job openings in New Jersey as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

AI/ML & Analytics Platform Engineer

Plainsboro, NJ • On-site

MDAEdge
Custom Software Development Services • 51 - 200 employees
Learn more about MDAEdgeexternal

Full-time

Re-posted 16 days ago

Job description

Job Summary:
MDAEdge is a company specializing in AI and analytics solutions, seeking an AI/ML & Analytics Platform Engineer to contribute to their platform development. The role involves building capabilities for scalable AI/ML workflows and collaborating with cross-functional teams to enhance platform performance and deployment efficiency.
Responsibilities:
• Contribute to building AI/ML & Analytics platform, services, and tools across dev, test, and prod environments to accelerate model training, inference, and deployment.
• Build capabilities for batch and real-time workflows at scale with flexible deployment strategies for use cases like low-latency predictions and offline inference.
• Improve platform performance, reduce manual intervention, scale compute, and increase deployment efficiency.
• Collaborate with cloud teams to ensure operational effectiveness, reliability, security, and efficiency.
• Provide technical guidance on monitoring systems like registries and alerting, plus governance frameworks for regulatory compliance.
• Work with cross-functional teams on AI/ML system architecture, deployment pipelines, and solution scaling.
• Champion self-service patterns, IaC, and GitOps for platform development.
Qualifications:
Required:
• Bachelor's or Master's in Computer Science, Engineering, Data Science, Mathematics, Statistics, Operations Research, or related field.
• Experience building scalable AI/ML & Analytics platforms for ML Researchers, Engineers, Data Scientists, and Analysts.
• Proficiency in Python, Spark, SQL, and ML frameworks like PyTorch or TensorFlow.
• Strong AWS knowledge, including AI/ML services like SageMaker.
• IaC tools such as Terraform, OpenTofu, CDK, or Pulumi, plus CI/CD pipelines.
• Containerization with Docker or Podman, and orchestration with Kubernetes or Rancher.
• VCS like GitHub or GitLab, CI/CD tools like GitHub Actions or Jenkins, and JIRA.
• Ops fundamentals including registries, observability, monitoring, performance analysis, and cost optimization.
• Hands-on problem-solving for technical and architectural challenges in scalable, secure platforms.
• Automation-first mindset with security consciousness and focus on developer experience.
• Strong communication to engage stakeholders effectively.
• Ability to work collaboratively in cross-functional, agile teams valuing individual development.
Preferred:
• Pharma/biotech domain experience.
• Strongly typed languages like C/C++, Java, Go, or Rust.
• Large-scale distributed systems like Ray, Dask, Spark, or HPC like Slurm.
• Data platforms like Databricks, Snowflake, or dbt with Delta, Iceberg, Hudi.
• Real-time streaming like Kafka or Spark Streaming.
• GitOps tools like ArgoCD or Crossplane.
• Multi-cloud (AWS, GCP, Azure).
• High-performance inference frameworks like ONNX Runtime, TensorRT, or Triton.
• Large-scale CPU/GPU infrastructure with CUDA knowledge.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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