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Data Analytics Platform Engineer Jobs in Edison, NJ

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 ...

NxT Level

Platform Engineer

Manhattan, NY · On-site

$200K - $375K/yr

Platform Engineer Location: New York, NY Work Style: In-office Compensation: $200,000 - $375,000 ... Own data infrastructure that supports evaluations, experimentation, agent behavior, customer ...

Tradeweb Markets

Data Platform Engineer

New York, NY · On-site

$125K - $150K/yr

... embedding analytics into execution, and building technology infrastructure that supports the ... Qualifications * 2-5 years of experience in a Data Platform Engineering role * Strong software ...

NxT Level

Platform Engineer

Manhattan, NY · On-site

$200K - $375K/yr

Platform Engineer Location: New York, NY Work Style: In-office Compensation: $200,000 - $375,000 ... Own data infrastructure that supports evaluations, experimentation, agent behavior, customer ...

Tradeweb Markets

Data Platform Engineer

New York, NY · Hybrid

$125K - $150K/yr

... embedding analytics into execution, and building technology infrastructure that supports the ... Qualifications * 2-5 years of experience in a Data Platform Engineering role * Strong software ...

NXTLevel

Platform Engineer

New York, NY · On-site

$200K - $375K/yr

Platform Engineer Location: New York, NY Work Style: In-office Compensation: $200,000 - $375,000 ... Own data infrastructure that supports evaluations, experimentation, agent behavior, customer ...

NxT Level

Platform Engineer

Manhattan, NY

$200K - $375K/yr

Platform Engineer Location: New York, NY Work Style: In-office Compensation: $200,000 - $375,000 ... Own data infrastructure that supports evaluations, experimentation, agent behavior, customer ...

Rugs USA

Data Analytics Engineer

New York, NY · On-site

$130K - $140K/yr

The role also supports ongoing platform performance, data quality, and self-service analytics ... You Have Bachelor's degree in computer science, Computer Engineering, Information Systems or ...

Parisi Labs

ML Data Platform Engineer

New York, NY · On-site

$175K - $245K/yr

Helpful Background - Strong Python and SQL experience. - Experience with data engineering, ML data systems, dataset engineering, platform engineering, or high-quality analytics engineering ...

Treeswift Inc

Data Platform Engineer

New York, NY · On-site

$125K - $150K/yr

About the role You are a skilled and motivated Data Platform Engineer. You will: * Design, build, and maintain data pipelines at scale. We run Apache Airflow 3 on Astronomer with pipelines that ...

Antimetal

Platform Engineer

New York, NY · On-site

$200K - $400K/yr

We're looking for a Platform Engineer to own the foundational primitives and surfaces that power ... Data Infrastructure . Data is the substrate everything else at Antimetal runs on top of ...

Current

Senior Data Analyst, Data Analytics

Manhattan, NY · On-site

$94K - $119K/yr

... Engineering, Finance) to scope, prioritize, and deliver data-driven initiatives. • Own data quality and reliability across the analytics platform - defining standards, implementing tests, and ...

Current

Senior Data Analyst, Data Analytics

Manhattan, NY · On-site

$94K - $119K/yr

... Engineering, Finance) to scope, prioritize, and deliver data-driven initiatives. • Own data quality and reliability across the analytics platform - defining standards, implementing tests, and ...

Adonis Technology, Inc

Data Platform Engineer

New York, NY · On-site

$165K - $190K/yr

The Role You will build and operate components of our data platform: the pipelines that move health ... You will work within workstreams scoped and architected with senior engineers on the team, and own ...

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Showing results 21-40

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

Data Analytics Platform Engineer information

See Edison, 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 Edison, NJ is $134,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $142,300.00 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 Edison, NJ are hiring for Data Analytics Platform Engineer jobs?

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

Data Analyst

Jersey City, NJ • On-site

DataFitch
See more jobs at DataFitchexternal

$125 - $150/hr

Other

Posted 21 days ago

Job description

DataFitch is a Unified Data Analytics platform that simplifies data access, automates manual processes, and ensures enterprise‑grade scalability, security, and compliance. We enable organizations to make their data analytics‑ready, accelerate AI adoption, and empower teams to make confident, data‑driven decisions. Our no‑code platform helps users clean, combine, and understand their data quickly and efficiently. With integrated data quality, governance, and advanced AI/ML capabilities, DataFitch transforms complex data ecosystems into clear, actionable insights that drive strategic business outcomes. We excel at integrating diverse data sources, enforcing strong governance, and delivering real‑time analytics that reveal hidden patterns—helping organizations solve complex challenges and unlock new opportunities. We are seeking a senior Business Data Analyst with strong experience in enterprise data analysis, transformation, and large‑scale data platforms within the Property & Casualty Insurance domain. This role operates as a lead‑level liaison between Data Engineers, Actuaries, and Business Stakeholders, supporting data‑driven initiatives with a focus on accuracy, consistency, and business alignment.

Responsibilities
  • Perform end-to-end data analysis, including data profiling, validation, and transformation for enterprise data initiatives.
  • Develop and maintain Source-to-Target Mapping (STTM), Business Requirements (BRD), and data analysis documentation.
  • Act as a primary coordinator between data engineers and actuaries, supporting planning, prioritization, and delivery.
  • Collaborate with data engineers to implement and validate data consolidation and transformation logic, primarily on Snowflake.
  • Write and optimize complex SQL queries to support analytics and reporting on large datasets.
  • Apply P&C insurance domain knowledge (policy and claims lifecycle) to ensure data aligns with business and actuarial needs.
  • Participate in SDLC activities, including requirements gathering, design reviews, testing support, and production readiness.
Qualifications
  • Masters in Engineering
  • 5+ years of experience in business/data analysis within enterprise data environments.
  • Strong proficiency in SQL and experience with Snowflake (required).
  • Proven experience creating STTM, BRD, and data analysis documentation.
  • Solid understanding of ETL/ELT processes and data transformation concepts.
  • In‑depth knowledge of Property & Casualty Insurance, including policy and claims data.
  • Strong communication and coordination skills, with experience acting as a liaison between technical and business teams.
  • Good understanding of SDLC and enterprise data delivery processes
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