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Data Validation Engineer Jobs in Cold Spring Harbor, NY

Long Finch Technologies

Sr. GCP Data Engineer

Mount Vernon, NY · On-site

$116K - $140K/yr

Perform complex SQL troubleshooting, query optimization, and data validation across large datasets ... Review code, enforce engineering best practices, and provide technical leadership to development ...

Long Finch Technologies

Sr. GCP Data Engineer

Rosedale, NY · On-site

$120K - $144K/yr

Perform complex SQL troubleshooting, query optimization, and data validation across large datasets ... Review code, enforce engineering best practices, and provide technical leadership to development ...

Long Finch Technologies

Sr. GCP Data Engineer

New York, NY · On-site

$125K - $150K/yr

Perform complex SQL troubleshooting, query optimization, and data validation across large datasets ... Review code, enforce engineering best practices, and provide technical leadership to development ...

Long Finch Technologies

Sr. GCP Data Engineer

Bronx, NY · On-site

$119K - $143K/yr

Perform complex SQL troubleshooting, query optimization, and data validation across large datasets ... Review code, enforce engineering best practices, and provide technical leadership to development ...

Long Finch Technologies

Sr. GCP Data Engineer

New York, NY · On-site

$125K - $150K/yr

Perform complex SQL troubleshooting, query optimization, and data validation across large datasets ... Review code, enforce engineering best practices, and provide technical leadership to development ...

Long Finch Technologies

Sr. GCP Data Engineer

Queens, NY · On-site

$119K - $143K/yr

Perform complex SQL troubleshooting, query optimization, and data validation across large datasets ... Review code, enforce engineering best practices, and provide technical leadership to development ...

Long Finch Technologies

Sr. GCP Data Engineer

Jamaica, NY · On-site

$120K - $144K/yr

Perform complex SQL troubleshooting, query optimization, and data validation across large datasets ... Review code, enforce engineering best practices, and provide technical leadership to development ...

Long Finch Technologies

Sr. GCP Data Engineer

Great Neck, NY · On-site

$124K - $149K/yr

Perform complex SQL troubleshooting, query optimization, and data validation across large datasets ... Review code, enforce engineering best practices, and provide technical leadership to development ...

Nastech Global

Data Integration Developer

New York, NY · On-site

Senior Engineer Location: New York, NY (onsite) Job Type: full time Skill: Data Integration ... Design and Development of data integration workflows, macros, data validation, data transformations ...

Redolent, Inc.

Sr. Data Engineer

Bethpage, NY · On-site

$117K - $140K/yr

Data Engineer Location: Bethpage, NY Key Responsibilities: • Data Pipeline Design and ... including data validation, cleansing, and access control. • Collaboration and Communication:

Apex Informatics

Validation Tester

Farmingdale, NY · On-site

Farmingdale, NY Key Responsibilities • Execute validation testing for electronic records systems per §11.10 (accuracy, audit trails, data integrity) • Validate electronic signature functionality ...

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All JobsData Validation Engineer JobsData Validation Engineer Jobs in Cold Spring Harbor, NY

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.

Sr. GCP Data Engineer

Fresh Meadows, NY • On-site

Long Finch Technologies
IT Services • 51 - 200 employees
Learn more about Long Finch Technologiesexternal

$118K - $142K/yr

Full-time

Posted 17 days ago

Job description

Role Summary

This is Client-Facing, Onshore role,  Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google Cloud Platform (GCP). The role requires strong hands-on expertise in BigQuery, Airflow/Cloud Composer, Python development, SQL optimization, and enterprise data migration programs. The candidate will act as the technical anchor for the engagement, partnering closely with business stakeholders, architects, QA teams, and offshore delivery teams to ensure successful execution of data engineering and analytics solutions.

Key Responsibilities

  • Lead end-to-end design and delivery of GCP-based data engineering and migration solutions.
  • Design, develop, and optimize scalable data pipelines using Cloud Composer (Airflow) and Python.
  • Build and manage enterprise data warehouses and analytics solutions using BigQuery.
  • Perform complex SQL troubleshooting, query optimization, and data validation across large datasets.
  • Drive data migration initiatives from legacy platforms to GCP while ensuring data integrity and regulatory compliance.
  • Conduct data analysis to identify quality issues, transformation requirements, and optimization opportunities.
  • Collaborate with business users, data architects, and cross-functional teams to translate requirements into scalable solutions.
  • Review code, enforce engineering best practices, and provide technical leadership to development teams.
  • Coordinate with QA teams to define test strategies, perform data reconciliation, and support defect resolution.
  • Support production deployments, troubleshooting, performance tuning, and operational excellence initiatives.

Required Skills & Qualifications

  • 10+ years of experience in Data Engineering, Analytics, and Cloud Data Platforms.
  • Strong hands-on experience with Google BigQuery.
  • Strong hands-on experience with Cloud Composer / Apache Airflow using Python.
  • Advanced SQL development, debugging, and performance tuning expertise.
  • Experience in large-scale Data Migration and Data Modernization programs.
  • Strong understanding of data modeling, ETL/ELT frameworks, and data warehousing concepts.
  • Experience working with structured and semi-structured datasets.
  • Knowledge of GCP services such as Cloud Storage, Dataflow, Dataproc, IAM, Monitoring, and Logging.
  • Experience with CI/CD pipelines and DevOps practices in cloud environments.
  • Understanding of Agile delivery methodologies.

Preferred Qualification.

  • Experience in Banking, Financial Services, or Wealth Management domains.
  • Exposure to Data Quality, Data Governance, and Metadata Management frameworks.
  • Knowledge of QA processes, test case creation, defect management, and data validation techniques.
  • GCP Professional Data Engineer Certification preferred.
  • Experience with migration from Teradata, Hadoop, Oracle, SQL Server, or other legacy platforms to GCP.

Soft Skills & Delivery Expectations

  • Excellent stakeholder management and client-facing communication skills.
  • Ability to lead distributed onshore-offshore teams.
  • Strong analytical and problem-solving capabilities.
  • High accountability for delivery outcomes.
  • Experience managing multiple workstreams within a fast-paced delivery environment.

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