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Remote Data Modeler Jobs in Hackensack, NJ (NOW HIRING)

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

Document data engineering processes, data models, and data dictionaries. * Stay up-to-date with the ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Build and optimize data architecture and data models to support analytics and reporting needs ... Flexible work hours and remote work options. * Opportunity to work with a talented and passionate ...

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Document data engineering processes, data models, and data dictionaries. * Stay up-to-date with the ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

An ideal candidate will have professional experience building machine learning models that are used ... A hybrid in-office approach, enabling remote work a portion of each week * Health Care Plan ...

Data Engineer

Manhattan, NY · On-site +1

$110K - $140K/yr

New York City (hybrid) or Fully Remote in the United States SALARY : $110,000 - $140,000 (based on ... Design and implement data models, data pipelines, and data architectures in support of new Canoe ...

Senior Data Scientist

New York, NY · On-site +1

$111K - $222K/yr

Defines data science initiatives by utilizing data mining, data modeling, natural language ... Hybrid Position: remote work permitted but must live within commuting distance of designated office ...

AI Data Engineer

Floral Park, NY · Remote

$122K - $146K/yr

AI Data Engineer Salary Range: 100k$/Annum-150k$/Annum Location: 100% Remote (Continental United ... Collaborate with ML researchers and engineers to align data systems with model development needs.

Data Scientist

New York, NY · On-site +1

$109K - $173K/yr

Assists in the deployment of data science initiatives by utilizing data mining, data modeling ... Hybrid position: remote work permitted but must live within commuting distance of designated office ...

Data Analyst

New York, NY · On-site +1

$97K/yr

Remote, New York City, or Oakland, CA * Travel is encouraged approximately once every 6 months to ... Ability to inspect source data, reason about data models, examine results closely, and prepare data ...

Data Analyst

New York, NY · On-site +1

$130K - $135K/yr

Understanding of data modeling concepts and analytical data structures * Familiarity with cloud ... remote role * Hybrid work option available for select locations (e.g., US or Canada(Toronto ...

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Remote Data Modeler information

See Hackensack, NJ salary details

$11

$64

$90

How much do remote data modeler jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for remote data modeler in Hackensack, NJ is $64.04, according to ZipRecruiter salary data. Most workers in this role earn between $57.40 and $74.47 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Data Modeler position, and why are they important?

A Remote Data Modeler should possess strong skills in data modeling concepts, database design, and a background in computer science or a related field. Expertise in tools such as ER/Studio, SQL, and familiarity with cloud data platforms (e.g., AWS, Azure) and relevant certifications like CDMP are highly valued. Exceptional analytical thinking, communication, and self-management abilities set top performers apart, especially when collaborating with distributed teams. These skills enable the creation of accurate, scalable data models and ensure effective remote collaboration on complex data projects.

What does a typical day look like for a Remote Data Modeler?

A typical day for a Remote Data Modeler involves collaborating with stakeholders to gather data requirements, designing and updating data models, and documenting structures for existing or new systems. You’ll spend significant time working with modeling tools, writing or reviewing database scripts, and participating in virtual meetings to ensure alignment with development teams and business analysts. Regular tasks include data mapping, troubleshooting modeling issues, and updating data dictionaries. The role requires balancing focus time for deep analysis with clear virtual communication to ensure projects progress smoothly.

What is a Remote Data Modeler job?

A Remote Data Modeler is responsible for designing, implementing, and optimizing data models that support business intelligence, analytics, and database management. They work with large datasets, ensuring data is structured efficiently for performance and scalability. This role often involves collaboration with data engineers, analysts, and business stakeholders to define data requirements. Since it's a remote position, strong communication and self-management skills are crucial for success.

What are the most commonly searched types of Data Modeler jobs in Hackensack, NJ? The most popular types of Data Modeler jobs in Hackensack, NJ are:
What job categories do people searching Remote Data Modeler jobs in Hackensack, NJ look for? The top searched job categories for Remote Data Modeler jobs in Hackensack, NJ are:
What cities near Hackensack, NJ are hiring for Remote Data Modeler jobs? Cities near Hackensack, NJ with the most Remote Data Modeler job openings:
Infographic showing various Remote Data Modeler job openings in Hackensack, NJ as of June 2026, with employment types broken down into 2% As Needed, 75% Full Time, 21% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $133,193 per year, or $64 per hour.

AI Data Engineer

C the Signs

New York, NY • Remote

$117K - $140K/yr

Full-time

Posted 13 days ago


Job description

Position Summary

The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data lifecycle, including gathering, cleaning, structuring, and optimizing large, diverse healthcare datasets. The ideal candidate will have a strong background in data engineering principles, experience with big data technologies, and a keen understanding of the unique challenges and requirements of healthcare data.

You will design, build, and maintain scalable data pipelines that source, preprocess, and deliver high-quality, high-volume datasets to our machine learning engineers. This role requires a deep understanding of data engineering best practices coupled with specific knowledge of the data requirements for LLM training and refinement

Key Responsibilities
  • Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning.
  • Design, build, and maintain scalable data pipelines to ingest, process, and store massive and diverse healthcare datasets.
  • Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency of all training datasets.
  • Implement robust data cleaning, validation, and transformation processes to ensure data quality and integrity.
  • Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models.
  • Work with the team to identify and acquire new data sources, ensuring compliance with relevant healthcare regulations (e.g., HIPAA).
  • Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability.
  • Document data engineering processes, data models, and data dictionaries.
  • Stay up-to-date with the latest advancements in data engineering, big data technologies, and machine learning.

Requirements

Required
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer, with a focus on big data technologies.
  • Strong proficiency in programming languages such as Python, Scala, or Java.
  • Extensive experience with data warehousing, ETL processes, and data modeling.
  • Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing services.
  • Hands-on experience with big data frameworks like Apache Spark for distributed processing.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication and interpersonal skills.
Preferred
  • Master's degree in a related field.
  • Experience with healthcare data and a good understanding of healthcare data standards (e.g., FHIR, HL7).
  • Familiarity with machine learning concepts and LLM fine-tuning processes.
  • Experience with data orchestration tools (e.g., Apache Airflow).
Work Authorization:
    • Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa

Benefits

Why Join Us?

Joining C the Signs is not just about building AI; it’s about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.

Benefits:

  • Competitive salary and benefits package.
  • Flexible working arrangements (remote or hybrid options available).
  • The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
  • Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
  • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.