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Data Integrity Engineer Jobs in New York (NOW HIRING)

Data Engineer

Manhattan, NY · On-site

$65 - $72/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Data Engineer Location-Type: NYC Hybrid (7 days onsite/ month) Start Date Is: Mid August Duration ... Ensure data integrity, security, and accessibility. 3. Data Integration: a. Collaborate with data ...

Data Engineer with Mongo DB

Jersey City, NJ · On-site

$119K - $143K/yr

Data Engineer with Mongo DB Job Location : Charlotte NC / Jersey City NJ / Plano TX (ONSITE) Job ... Ensuring data integrity, quality, and security by implementing appropriate validation, monitoring ...

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Data Engineer Job Summary: We are seeking a skilled and motivated Data Engineer to join our growing ... Implement data quality checks and ensure data integrity across all pipelines. * Collaborate with ...

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Data Engineer Job Summary: We are seeking a skilled and motivated Data Engineer to join our growing ... Implement data quality checks and ensure data integrity across all pipelines. * Collaborate with ...

Sr. GCP Data Engineer

New York, NY · On-site

$125K - $150K/yr

Drive data migration initiatives from legacy platforms to GCP with data integrity and compliance ... Review code, enforce engineering best practices, and provide technical leadership * Support ...

New

Data Engineer

Rutherford, NJ · On-site

$116K - $140K/yr

... integrity considerations using multiple data sources. * Utilizes advanced SQL skills to design ... Knowledge of Quality Engineering (QE) fundamentals, including data validation, testing frameworks ...

Azure Data Engineer

Weehawken, NJ · On-site

$124K - $149K/yr

AZURE DATA ENGINEER Location: Weehawken, NJ - 5 days onsite (Need Local Candidates from NY, NJ) ... Troubleshoot and resolve issues related to PostgreSQL connectivity, performance, and data integrity.

Senior AI Data Engineer

Manhattan, NY · On-site

$65 - $72/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Data Engineer Location-Type: NYC Hybrid (7 days onsite/ month) Start Date Is: Mid August Duration ... Ensure data integrity, security, and accessibility. 3. Data Integration: a. Collaborate with data ...

Lead Data Engineer

New York, NY · Remote

$200K - $250K/yr

... integrity. Responsibilities * Design and architect scalable data platform solutions using AWS and ... Drive engineering best practices related to testing, deployment, monitoring, and software quality.

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

The selected candidate will serve as a Data Engineer, performing complex data engineering, data ... data integrity and governance. - Collaborate with business stakeholders, technical teams, and ...

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

The selected candidate will serve as a Data Engineer, performing complex data engineering, data ... data integrity and governance. - Collaborate with business stakeholders, technical teams, and ...

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

The selected candidate will serve as a Data Engineer, performing complex data engineering, data ... data integrity and governance. - Collaborate with business stakeholders, technical teams, and ...

Data Engineer

Manhattan, NY

$125K - $150K/yr

The selected candidate will serve as a Data Engineer, performing complex data engineering, data ... data integrity and governance. - Collaborate with business stakeholders, technical teams, and ...

Software Engineer - Market Data

Manhattan, NY · On-site

$126K - $151K/yr

... integrity across the pipeline. • Continuously monitor the performance and health of data ... engineers toward common goals Preferred : • Experience with system profiling with eBPF • ...

Data Engineer

New York, NY · On-site

$140K - $160K/yr

Build and scale robust data pipelines and governance practices to ensure data integrity, availability, and compliance across the organization. * Partner cross-functionally with Product, Engineering ...

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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 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 Engineer

Mondo

Manhattan, NY • On-site

$65 - $72/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 23 days ago


Job description

Job Title: Data Engineer Location-Type: NYC Hybrid (7 days onsite/ month) Start Date Is: Mid August Duration: 6 Month Contract Compensation Range: $65-72/hour W2 Benefits: Eligible for Health, Dental, Vision, 401K Must be authorized to work in the U.S. This position is not eligible for sponsorship . Our client is seeking a motivated and detail-oriented Data Engineer to join our growing data team. In this role, you will work closely with senior data engineers, data scientists, and analysts to support the development, maintenance, and optimization of our data infrastructure. You will play a crucial role in ensuring the accuracy, availability, and performance of our data systems, which underpin our research and analysis efforts. Key Responsibilities: 1. Data Pipeline Development:
a. Assist in the design, development, and maintenance of scalable data pipelines to process and integrate data from various sources. b. Implement ELT (Extract, Load, Transform) processes to ensure data is collected, cleaned, and stored accurately.
2. Database Management:
a. Support the management and optimization of databases, including data warehousing solutions. b. Ensure data integrity, security, and accessibility.
3. Data Integration:
a. Collaborate with data scientists and analysts to integrate new data sources and support data-driven projects. b. Assist in the implementation of data integration solutions and APIs.
4. Performance Optimization:
a. Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks. b. Implement performance tuning techniques to improve data processing efficiency.
5. Data Quality and Validation:
a. Perform data quality checks and validation to ensure the accuracy and consistency of data. b. Develop and maintain documentation for data processes and workflows.
6. LLM experience:
a. Prepare quantitative and qualitative data for easy discovery by LLMs. b. Design and manage vector search infrastructure to support Retrieval-Augmented Generation (RAG) pipelines.
7. Collaboration and Support:
a. Work collaboratively with cross-functional teams to understand data needs and provide technical support. b. Contribute to the continuous improvement of data engineering practices and processes.
Qualifications: Education:
o Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field or a Master's degree in Computer Science, Information Technology, Engineering, or a related field with 3-5 years of professional experience.
Technical Skills:
o Proficiency in SQL and Python.
o Understanding of ELT processes and data pipeline development. o Experience with cloud platforms (Google Cloud, BigQuery) is a plus. o Prior experience with dbt and Air Flow is preferred. o Familiarity with CI/CD (Docker and Terraform) and concepts of data integrity. o Familiarity with data visualization tools (e.g., d3, plotly or Carto preferred).
Soft Skills:
o Strong analytical and problem-solving skills. o Excellent communication and teamwork abilities. o Detail-oriented with a commitment to accuracy