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Remote Data Modeler Jobs in New York (NOW HIRING)

The Cypress Group

Lead Data Engineer

New York, NY · Remote

$200K - $250K/yr

Tech Lead - Data Platform | Remote A fast-growing financial technology company is seeking a Tech ... Strong understanding of data modeling, data governance, and analytics infrastructure. * Experience ...

Lakeview Loan Servicing

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 ...

Precision Technologies Corp

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Role: Data Scientist Location: Remote, however travel might be required as per business ... Applying advanced analytics, quantitative tools, and modeling techniques, you'll interpret and ...

KPMG LLP

Data Engineer Contractor - Talent Reserve

New York, NY · On-site +1

$125K - $150K/yr

Roles can vary by Hybrid, Remote, Onsite Key Responsibilities: * Data Pipeline Architecture: Design ... Data Modeling & Transformation: Transform and model complex, large-scale datasets within Snowflake ...

IQVIA

Senior Data Team Lead (Remote)

New York, NY · Remote

$86K - $217K/yr

... models. Apply now and have your resume considered for Senior Data Team Lead opportunities across ... This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ...

IQVIA

Senior Data Team Lead (Remote)

Jersey City, NJ · Remote

$86K - $217K/yr

... models. Apply now and have your resume considered for Senior Data Team Lead opportunities across ... This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ...

IQVIA

Senior Data Team Lead (Remote)

New York, NY · Remote

$86K - $217K/yr

... models. Apply now and have your resume considered for Senior Data Team Lead opportunities across ... This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ...

IQVIA

Senior Data Team Lead (Remote)

Jersey City, NJ · Remote

$86K - $217K/yr

... models. Apply now and have your resume considered for Senior Data Team Lead opportunities across ... This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ...

Qvest US

Manager - Data & Analytics

New York, NY · On-site +1

... and designing data models in platforms such as Snowflake and Databricks * Ensure client ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Qvest US

Manager - Data & Analytics

New York, NY · On-site +1

... and designing data models in platforms such as Snowflake and Databricks * Ensure client ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

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Remote Data Modeler information

What skills and qualifications are needed to thrive as a remote data modeler?

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 remote data modeler do?

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?

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 New York? The most popular types of Data Modeler jobs in New York are:
What are popular job titles related to Remote Data Modeler jobs in New York? For Remote Data Modeler jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Data Modeler jobs in New York look for? The top searched job categories for Remote Data Modeler jobs in New York are:
What cities in New York are hiring for Remote Data Modeler jobs? Cities in New York with the most Remote Data Modeler job openings:
Remote Data Modeler jobs near you
Infographic showing various Remote Data Modeler job openings in New York as of August 2026, with employment types broken down into 4% Internship, 67% Full Time, 12% Part Time, and 17% Contract. Highlights an 100% Remote job distribution.

Lead Data Engineer

The Cypress Group

New York, NY • Remote

$200K - $250K/yr

Full-time

Re-posted 6 days ago

Job description

Tech Lead – Data Platform | Remote

A fast-growing financial technology company is seeking a Tech Lead, Data Platform to design and build the core data infrastructure that powers advanced financial analytics and reporting. This platform enables executives, investors, analysts, and internal stakeholders to make critical business and investment decisions based on trusted, high-quality data.

As a technical leader, you will define the architecture of the data platform, partner with Product and Engineering leadership, and lead the implementation of scalable, cloud-native data solutions. You'll work closely with software engineers, data scientists, quantitative analysts, and business stakeholders to build highly reliable systems focused on performance, transparency, observability, and data integrity.

Responsibilities

  • Design and architect scalable data platform solutions using AWS and modern open-source data technologies.
  • Develop and maintain robust ETL/ELT pipelines using Python, Airflow, DBT, and Airbyte.
  • Build high-performance analytics and data processing services, including applications developed in Rust (or willingness to learn Rust).
  • Design solutions to ingest, transform, and manage large volumes of structured and unstructured financial data.
  • Implement best practices around data governance, data quality, data lineage, access controls, auditing, and observability.
  • Partner with Product Management to define technical requirements and implementation strategies.
  • Lead architectural discussions and mentor engineers across the organization.
  • Drive engineering best practices related to testing, deployment, monitoring, and software quality.

Required Qualifications

  • 5+ years of software engineering experience with strong computer science fundamentals.
  • Strong programming experience with Python.
  • Experience building cloud-native applications on AWS.
  • Hands-on experience with Airflow, DBT, Airbyte, and Pandas.
  • Experience designing scalable distributed data platforms and modern ETL/ELT architectures.
  • Strong understanding of data modeling, data governance, and analytics infrastructure.
  • Experience delivering production software from design through deployment in a fast-paced engineering environment.
  • Excellent system design, communication, and technical leadership skills.

Preferred Qualifications

  • Experience with Rust, or a strong interest in learning it.
  • Background in financial services, fintech, investment platforms, or quantitative analytics.
  • Experience working with large-scale financial datasets.
  • Prior experience leading engineering initiatives or mentoring development teams.

This is an excellent opportunity for a senior engineer who enjoys solving complex data engineering challenges, influencing technical strategy, and building mission-critical platforms that power modern financial analytics.