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Data Analytics Platform Engineer Jobs in Passaic, NJ

Charter Global, Inc.

Al Data Platform Engineer

Manhattan, NY · On-site

$126K - $151K/yr

OpsRadar is an Al-powered operational intelligence platform that enables users to interact with ... Strong SQL development and data analysis skills. SDLC & Engineering Practices: * Experience working ...

Armaninollp

Data & AI Platform Engineer

New York, NY · On-site

$125K - $150K/yr

... senior engineers. Job Responsibilities Platform Operations & Enablement * Support day-to-day ... Data/Analytics Tooling Support * Assist teams with onboarding and "how-to" enablement across a core ...

Carbon Arc

Platform Engineer

Manhattan, NY · On-site

$150 - $200/hr

This role is an opportunity for a talented Platform Engineer to join a growing engineering team and ... with analytical databases such as StarRocks, ClickHouse, Trino, or Snowflake * Exposure to data ...

Carbon Arc, Inc.

Platform Engineer

Manhattan, NY · On-site

$150 - $200/hr

This role is an opportunity for a talented Platform Engineer to join a growing engineering team and ... with analytical databases such as StarRocks, ClickHouse, Trino, or Snowflake * Exposure to data ...

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 ...

Alter Domus

Platform Engineer

Manhattan, NY · On-site

$100 - $125/hr

... data delivery, embedded analytics) * API & Delivery Infrastructure: Build and operate the data ... Work with the Data Engineer (who builds pipelines that run on your platform), the Data Architect ...

Scotiabank

Platform Engineer

Manhattan, NY · On-site

... Data & AI platform(s) as per banks Data & AI strategy. This consists of working with cross ... Help maintain observability using Azure Monitor and Log Analytics Monitor Databricks jobs, clusters ...

Scotiabank

Platform Engineer

Manhattan, NY · On-site

... Data & AI platform(s) as per banks Data & AI strategy. This consists of working with cross ... Monitoring and Troubleshooting: Assist in diagnosing platform issues, analyzing logs/metrics, and ...

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All JobsData Analytics Platform Engineer JobsData Analytics Platform Engineer Jobs in Passaic, NJ

Data Analytics Platform Engineer information

See Passaic, NJ salary details

$46.1K

$134.3K

$183.8K

How much do data analytics platform engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data analytics platform engineer in Passaic, NJ is $134,310.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,600.00 and $142,400.00 per year, depending on experience, location, and employer.

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 near Passaic, NJ are hiring for Data Analytics Platform Engineer jobs?

Cities near Passaic, NJ with the most Data Analytics Platform Engineer job openings:

Infographic showing various Data Analytics Platform Engineer job openings in Passaic, NJ as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $134,310 per year, or $64.6 per hour.

Al Data Platform Engineer

Manhattan, NY • On-site

Charter Global, Inc.
IT Services • 1 - 5K employees
Learn more about Charter Global, Inc.external

$126K - $151K/yr

Other

Posted 4 days ago

Job description

Job Title: DBIQ Data and AI Engineer

Location: Hybrid 2 days onsite per week in NYC, NY

Duration: 4 months+ contract with a very strong possibility of extension

Number of Positions: 2 roles

Hours per week: 45

Role Overview

  • OpsRadar is an Al-powered operational intelligence platform that enables users to interact with enterprise operational data using natural language. Built on Snowflake Cortex Al technologies, semantic data models, and a growing ecosystem of operational data sources, OpsRadar provides intelligent insights across incidents, changes, alerts, assets, configuration data, and other operational domains.
  • We are looking for a motivated and technically curious Data Modeler/Al Engineer with approximately 3-7 years of experience to join our growing team. The successful candidate will help accelerate the onboarding of new data sources into the Lighthouse platform, design semantic data models for Al consumption, and contribute to the continued evolution of OpsRadar’s Al capabilities.
  • This role offers a unique opportunity to work at the intersection of Data Engineering, Artificial Intelligence, Snowflake, and Enterprise Operations.

Key Responsibilities:

Data Onboarding & Platform Development:

  • Support the onboarding of new operational datasets into the Lighthouse data platform.
  • Partner with data owners and subject matter experts to understand date structures, business processes, and use cases.
  • Develop and maintain scalable ingestion pipelines and data processing workflows.
  • Implement data quality controls, validation checks, and reconciliation processes.
  • Support operationalization of new datasets from development through production deployment.

Semantic Data Modelling:

  • Design and maintain semantic models that enable natural language querying through Al applications.
  • Define business entities, metrics, relationships, dimensions, and business terminology.
  • Collaborate with stakeholders to ensure semantic models accurately reflect operational processes.
  • Validate Al-generated results and continuously improve model quality and usability.
  • Help build reusable semantic modelling standards and best practices.

Al & Snowflake Development:

  • Develop and enhance capabilities leveraging Snowflake Cortex Al services.
  • Support the configuration and testing of Cortex Agents, semantic views, and Al-driven workflows.
  • Assist in prompt development, evaluation, and optimization activities.
  • Contribute to the design of Al-powered solutions that improve operational efficiency and user experience.
  • Participate in experimentation and adoption of emerging Al technologies and methodologies.

Software Engineering & DevOps:

  • Contribute to all phases of the Software Development Lifecycle (SDLC).
  • Develop, test, deploy, and support production quality solutions.
  • Build and maintain CI/CD pipelines and automated deployment processes
  • Participate in code reviews and engineering best practices.
  • Support troubleshooting, monitoring, and operational support activities

Required Skills & Experience:

Core Technical Skills:

  • 3-7 years of software engineering, data engineering, or platform engineering experience.
  • Strong knowledge of Snowflake including SQL development, data modeling, and platform administration.
  • Experience with Snowflake Cortex Al capabilities or a strong desire to leam Al technologies.
  • Understanding of Al and machine learning concepts, including Large Language Models (LLMs), Retrieval-Augmented
  • Generation (RAG), Al agents, and prompt engineering.
  • Experience designing logical and physical data models.
  • Familiarity with semantic modeling concepts and business-facing data abstractions.
  • Strong SQL development and data analysis skills.

SDLC & Engineering Practices:

  • Experience working with Git-based source control.
  • Familiarity with CI/CD concepts and tools such as Jenkins, GitHub Actions, or similar platforms.
  • Experience working within Agile SDLC processes.
  • Familiarity with Jira, Confluence, and related engineering collaboration tools.
  • Understanding of software testing, release management, and deployment best practices.

Desired / Preferred Skills:

  • Experience with Kafka or other event-streaming technologies.
  • Experience with HVR or similar data replication tools.
  • Experience building ETL/ELT pipelines.
  • Familiarity with Linux/Unix environments and shell scripting.
  • Experience with Python for automation and data processing.
  • Knowledge of APis, JSON, and integration patterns.
  • Experience working with data governance, metadata, lineage, or data quality frameworks.
  • Exposure to cloud-native architectures and modern data platforms.

Preferred Domain Knowledge:

  • IT Service Management (ITSM) concepts and platforms such as ServiceNow Operational analytics, observability, monitoring, and incident management.
  • SRE and operational support practices.
  • Asset, configuration, change, incident, and problem management data domains.
  • Enterprise-scale date and analytics platforms.

What We Are Looking For

  • Strong problem-solving and analytical skills.
  • Curiosity and a willingness to learn emerging Al technologies.
  • Ability to communicate effectively with both technical and non-technical stakeholders.
  • Self-motivated and collaborative team player.
  • Passion for building innovative solutions that deliver measurable business value.
  • Ability to work across multiple projects in a fast-paced and evolving environment.

Why Join OpsRader?

  • Work on one of the firm's flagship Al-powered operational intelligence platforms.
  • Gain hands-on experience with Snowflake Cortex Al technologies and modern Al architectures.
  • Help shape the future of Al-driven operations and observability:
  • Collaborate with engineers, architects, and business stakeholders across multiple technology domains.
  • Influence the onboarding of strategic data sources and the expansion of enterprise Al capabilities.

Best Regards,

-------

David Roy |#LI-DR1  Accounts Manager – US Staffing | Charter Global Inc. |    

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