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Data Validation Engineer Jobs in Cold Spring Harbor, NY

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency ... Document data engineering processes, data models, and data dictionaries. * Stay up-to-date with the ...

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency ... Document data engineering processes, data models, and data dictionaries. * Stay up-to-date with the ...

Data QA

New York, NY · Remote

$117K - $140K/yr

Cotiviti is seeking a QA Engineer with strong experience in testing data pipelines and validating large-scale data processing platforms. The ideal candidate will have hands-on expertise with ...

Data Engineer I, Zappos Analytics

New York, NY · On-site

$125K - $150K/yr

As a Data Engineer at Zappos, you will play a crucial role in designing, developing, and ... data validation, and proactively identify and address data quality issues. • Optimize data ...

Specialist Data Engineer

New York, NY · Hybrid

$114K - $134K/yr

Creates and executes data validation processes to ensure the reliability and consistency of ... Azure Data Engineer Associate is preferred. * Microsoft Certified: Azure Data Fundamentals is ...

Data Reliability Engineer

New York, NY · On-site

$112K - $141K/yr

Cubist's data services group is looking for a Data Reliability Engineer to join our dedicated team ... Day-to-day operations including data validation, data entry tasks, data cleaning, security audits ...

Data Engineer

New York, NY · On-site

$115K - $130K/yr

The Role As a Data Engineer at theGuarantors, you will play a vital role in the development ... Collaborate with the team to monitor and maintain data quality standards, perform data validation ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Implement data validation, cleansing, transformation, and quality assurance processes. * Ensure ... Proficiency in SQL and at least one programming language such as Python, Java, or Scala.

Showing results 41-60

Data Validation Engineer information

See Cold Spring Harbor, NY salary details

$23

$55

$82

How much do data validation engineer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for data validation engineer in Cold Spring Harbor, NY is $55.02, according to ZipRecruiter salary data. Most workers in this role earn between $41.73 and $66.88 per hour, depending on experience, location, and employer.

What is a data validation engineer?

Data Validation Engineers are professionals responsible for ensuring the accuracy, quality, and integrity of data within software systems or databases. They design and implement tests, validation protocols, and automated processes to verify that data meets specified requirements and is free from errors. Data Validation Engineers often work closely with data engineers, analysts, and developers to identify inconsistencies, troubleshoot issues, and maintain reliable datasets crucial for business operations and decision-making.

What are the key skills and qualifications needed to thrive as a data validation engineer?

To thrive as a Data Validation Engineer, you need strong analytical skills, a background in computer science or engineering, and experience with data quality assurance methodologies. Familiarity with database management systems, data validation tools (like Talend or Informatica), and scripting languages such as Python or SQL is typically required. Attention to detail, problem-solving abilities, and effective communication are critical soft skills in this role. These competencies are essential for ensuring data integrity, minimizing errors, and supporting reliable business decision-making.

What are the typical challenges faced by data validation engineers when working with large and complex datasets?

Data Validation Engineers often encounter challenges such as handling inconsistent data formats, ensuring data integrity across multiple sources, and managing large-scale datasets efficiently. Identifying subtle data anomalies and implementing robust automated validation scripts can be difficult, especially when data is unstructured or rapidly changing. Collaboration with data engineers, analysts, and quality assurance teams is essential to develop effective validation strategies and maintain high data quality standards throughout the data pipeline.

What is the difference between Data Validation Engineer vs Data Analyst?

AspectData Validation EngineerData Analyst
Primary FocusEnsuring data accuracy, integrity, and validation processesAnalyzing data to identify trends and generate reports
Skills & CertificationsData validation tools, SQL, scripting, quality assuranceData analysis, visualization, statistical skills, Excel, SQL
Work EnvironmentData warehouses, ETL pipelines, quality assurance teamsBusiness units, reporting teams, data-driven departments
Industry UsageTech, finance, healthcare, where data quality is criticalMarketing, finance, consulting, where insights drive decisions

While both roles work with data, Data Validation Engineers focus on verifying data accuracy and integrity during data processing, whereas Data Analysts interpret data to provide insights and support decision-making. Understanding these differences helps organizations assign the right skills to each role.

Infographic showing various Data Validation Engineer job openings in Cold Spring Harbor, NY as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $114,439 per year, or $55 per hour.

Staff QA Data Engineer (46_2026.2)

New York, NY • On-site

Affinity Solutions
Marketing • 51 - 200 employees

$110K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 18 days ago


Job description

Affinity Solutions (Affinity) is the leading consumer purchase insights company. We provide a complete view of U.S. and U.K. consumer spending, across and between brands, via exclusive access to fully permissioned data from over 100 million consumers. Our proprietary AI technology, Comet, transforms these purchase signals into actionable insights for business and marketing leaders to drive optimal outcomes and build lasting customer relationships. Visit www.affinitysolutions.com to discover how were shaping the future of consumer purchase insights.

About the Role

The Staff QA Data Engineer is responsible for validating the accuracy, completeness, and reliability of data pipelines and analytical outputs. This role focuses on designing scalable QA frameworks, testing data transformations, and ensuring client-facing data products are correct and aligned to defined business logic.

Your Responsibilities:

Data Quality & Validation

  • Design and implement data validation frameworks to ensure accuracy and consistency across ingestion, transformation, and reporting layers.
  • Validate data transformations between OLTP and OLAP systems, including schema, logic, and aggregation correctness.
  • Execute end-to-end testing of data pipelines, from raw data ingestion through downstream reporting outputs.
  • Develop automated data quality checks to detect anomalies, breakages, and data drift.

Testing & QA Process

  • Define and maintain test plans and detailed test cases tied to specific data workflows and use cases.
  • Document validation logic, QA processes, and testing methodologies for repeatability and auditability.
  • Establish standards for data quality metrics and acceptance criteria across datasets and reporting outputs.

Issue Resolution & Cross-Functional Work

  • Investigate data discrepancies, perform root cause analysis, and resolve pipeline or transformation issues.
  • Partner with Data Engineering, Analytics, and Product teams to align on data definitions, transformations, and validation requirements.
  • Validate client-facing dashboards, reports, and analytical outputs against source data and business logic.
  • Support validation of campaign performance data, reporting outputs, and QBR deliverables.

Your Qualifications:

  • Bachelors or Masters degree in Computer Science, Data Analytics, Statistics, Mathematics, or a related quantitative field.
  • 3+ years of experience in data QA, data analytics, or data engineering support roles with hands-on responsibility for validating production datasets.
  • Advanced SQL skills used for data validation, reconciliation, and anomaly detection across large datasets.
  • Experience testing data pipelines and transformations across multiple layers (ingestion, ETL/ELT, reporting).
  • Experience validating BI dashboards and reports (e.g., Tableau), including metric definitions and data consistency.
  • Experience building or maintaining automated data quality checks using Python or similar scripting languages.
  • Working knowledge of data modeling concepts, including differences between OLTP and OLAP systems.
  • Experience working with large-scale datasets in cloud data environments (e.g., Redshift, Hive, EMR, or equivalent).
  • Experience investigating and resolving data issues through structured root cause analysis.

Preferred Qualifications:

  • Experience working with transaction-level datasets (e.g., credit/debit card data), loyalty data, or consumer purchase data.
  • Experience validating marketing analytics, campaign performance data, or programmatic advertising datasets.
  • Familiarity with data quality frameworks, monitoring tools, or testing methodologies used in production data environments.
  • Experience in financial services, fintech, or retail analytics environments.

Salary Range: $110,000 $125,000

Office Hours: 9am 5:30pm

Benefits for full-time employees of Affinity Solutions begin on the first of the month following your date of hire with a generous employer contribution for medical, dental, and vision. In addition to company paid holidays, wellness time off, other wellness benefits, and employee discounts, you will also get employer paid life insurance and have the option to enroll into an employer-matched 401K Plan. We strongly encourage work/life balance by providing unlimited vacation days, available starting 90 days from your hire date as a team member.