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Remote Data Quality Jobs in New Rochelle, NY (NOW HIRING)

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 ... Implement best practices around data governance , data quality , data lineage , access controls ...

Collaborate with data engineering or IT teams to enhance data quality, accessibility, and reporting capabilities * Monitor performance of affordability initiatives and track savings against targets

Posted today

Data & AI Engineer

New York, NY · Remote

$100K - $125K/yr

Headquartered in the heart of New York City, we also welcome remote employees across the United ... Data Quality, Troubleshooting & Reporting (10%) * Troubleshoot site traffic tracking and data ...

This role will be hybrid, not remote. YOUR DAILY IMPACT AT PELOTON * Lead the DataOps function ... Experience implementing data quality, observability, lineage, or governance solutions * Experience ...

Senior Data Engineer

New York, NY · On-site +1

$116K - $157K/yr

Implement and manage data governance practices, ensuring data quality, integrity, and compliance ... Remote-based Teaches / trains others Occasionally Travel from the office to various work sites or ...

Lead delivery of high-quality data solutions by partnering with stakeholders and coachingdataengineers. * Own end-to-end data engineering delivery across the project lifecycle. * Build strong ...

Showing results 41-60

Remote Data Quality information

See New Rochelle, NY salary details

$16

$42

$73

How much do remote data quality jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote data quality in New Rochelle, NY is $42.64, according to ZipRecruiter salary data. Most workers in this role earn between $28.70 and $55.91 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Quality vs Remote Data Analyst?

AspectRemote Data QualityRemote Data Analyst
Required CredentialsData quality certifications, SQL, data management skillsData analysis certifications, SQL, statistical skills
Work EnvironmentFocus on data accuracy, validation, and cleansingFocus on data interpretation, reporting, and insights
Employer & Industry UsageUsed in data governance, compliance, and database managementUsed in business intelligence, marketing, and operations

Remote Data Quality specialists primarily focus on ensuring data accuracy, consistency, and integrity within databases, often working on data validation and cleansing. Remote Data Analysts interpret data sets to generate reports and insights for decision-making. While both roles require strong SQL and data management skills, Data Quality roles emphasize data validation processes, whereas Data Analysts focus on analysis and visualization.

What are popular job titles related to Remote Data Quality jobs in New Rochelle, NY? For Remote Data Quality jobs in New Rochelle, NY, the most frequently searched job titles are:
What job categories do people searching Remote Data Quality jobs in New Rochelle, NY look for? The top searched job categories for Remote Data Quality jobs in New Rochelle, NY are:
What cities near New Rochelle, NY are hiring for Remote Data Quality jobs? Cities near New Rochelle, NY with the most Remote Data Quality job openings:
Infographic showing various Remote Data Quality job openings in New Rochelle, NY as of July 2026, with employment types broken down into 72% Full Time, 15% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $88,693 per year, or $42.6 per hour.

Lead Data Engineer

The Cypress Group

New York, NY • Remote

$200K - $250K/yr

Full-time

Re-posted 10 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.