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Data Integrity Engineer Jobs in New York (NOW HIRING)

Long Finch Technologies

Sr. GCP Data Engineer

Rutherford, NJ · On-site

$116K - $140K/yr

Drive data migration initiatives from legacy platforms to GCP while ensuring data integrity and ... 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

Drive data migration initiatives from legacy platforms to GCP while ensuring data integrity and ... 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

Drive data migration initiatives from legacy platforms to GCP while ensuring data integrity and ... Review code, enforce engineering best practices, and provide technical leadership to development ...

Long Finch Technologies

Sr. GCP Data Engineer

Kew Gardens, NY · On-site

$120K - $144K/yr

Drive data migration initiatives from legacy platforms to GCP while ensuring data integrity and ... Review code, enforce engineering best practices, and provide technical leadership to development ...

Long Finch Technologies

Sr. GCP Data Engineer

Brooklyn, NY · On-site

$121K - $145K/yr

Drive data migration initiatives from legacy platforms to GCP while ensuring data integrity and ... Review code, enforce engineering best practices, and provide technical leadership to development ...

Long Finch Technologies

Sr. GCP Data Engineer

Oradell, NJ · On-site

$116K - $140K/yr

Drive data migration initiatives from legacy platforms to GCP while ensuring data integrity and ... Review code, enforce engineering best practices, and provide technical leadership to development ...

Long Finch Technologies

Sr. GCP Data Engineer

Nutley, NJ · On-site

$116K - $139K/yr

Drive data migration initiatives from legacy platforms to GCP while ensuring data integrity and ... Review code, enforce engineering best practices, and provide technical leadership to development ...

Long Finch Technologies

Sr. GCP Data Engineer

Hoboken, NJ · On-site

$125K - $150K/yr

Drive data migration initiatives from legacy platforms to GCP while ensuring data integrity and ... Review code, enforce engineering best practices, and provide technical leadership to development ...

Long Finch Technologies

Sr. GCP Data Engineer

Arverne, NY · On-site

$118K - $141K/yr

Drive data migration initiatives from legacy platforms to GCP while ensuring data integrity and ... Review code, enforce engineering best practices, and provide technical leadership to development ...

Long Finch Technologies

Sr. GCP Data Engineer

Corona, NY · On-site

$120K - $144K/yr

Drive data migration initiatives from legacy platforms to GCP while ensuring data integrity and ... Review code, enforce engineering best practices, and provide technical leadership to development ...

Long Finch Technologies

Sr. GCP Data Engineer

Verona, NJ · On-site

$117K - $140K/yr

Drive data migration initiatives from legacy platforms to GCP while ensuring data integrity and ... Review code, enforce engineering best practices, and provide technical leadership to development ...

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Data Integrity Engineer information

What is a data integrity engineer?

Data Integrity Engineers are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization’s systems. They design and implement processes to prevent data corruption, loss, or unauthorized modification. These engineers work closely with database administrators, data analysts, and IT teams to monitor data flows, validate data quality, and enforce data governance policies. Their role is crucial in industries where high-quality data is essential for decision-making, compliance, and operational efficiency.

What are some common challenges data integrity engineers face when ensuring data quality across large, complex systems?

Data Integrity Engineers often encounter challenges such as managing data consistency across multiple databases, identifying and resolving discrepancies caused by data migrations, and ensuring compliance with regulatory standards. Additionally, they must frequently collaborate with software developers and database administrators to implement automated validation processes and address data anomalies promptly. Staying updated with evolving best practices and tools is crucial, as data environments and requirements can change rapidly in large organizations.

What are the key skills and qualifications needed to thrive as a data integrity engineer, and why are they important?

To thrive as a Data Integrity Engineer, you need strong analytical skills, a background in computer science or information systems, and experience with data management principles. Familiarity with database platforms (such as SQL), data validation tools, and knowledge of regulatory compliance standards are typically required. Attention to detail, problem-solving ability, and effective communication help ensure data accuracy and facilitate collaboration across teams. These skills are critical for maintaining reliable, secure, and compliant data systems that support informed business decisions.

What is the difference between Data Integrity Engineer vs Data Quality Analyst?

AspectData Integrity EngineerData Quality Analyst
Primary FocusEnsuring accuracy, consistency, and security of data across systemsAssessing and improving data quality, completeness, and usability
Skills & CertificationsDatabase management, SQL, data governance, certifications like CDMPData analysis, data profiling, quality frameworks, certifications like CDMP
Work EnvironmentIT teams, data engineering, database administrationBusiness analysis, data analysis teams, quality assurance
Industry UsageTech, finance, healthcare, where data security is criticalRetail, marketing, finance, focusing on data usability

While both roles focus on data, Data Integrity Engineers primarily ensure data security and consistency across systems, whereas Data Quality Analysts focus on assessing and improving data quality for business insights. Both roles often collaborate but serve distinct functions within data management.

What are popular job titles related to Data Integrity Engineer jobs in New York?

For Data Integrity Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Data Integrity Engineer jobs in New York look for?

The top searched job categories for Data Integrity Engineer jobs in New York are:

What cities in New York are hiring for Data Integrity Engineer jobs?

Cities in New York with the most Data Integrity Engineer job openings:

Data Integrity Engineer jobs near you

Sr. GCP Data Engineer

Long Finch Technologies

Rutherford, NJ • On-site

$116K - $140K/yr

Full-time

Posted 12 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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