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Remote Data Quality Jobs in Manchester, NH (NOW HIRING)

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Utilize rubrics and established evaluation criteria to assess data quality and support AI training ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... data quality, and committed to clear written and verbal communication. Scope of Work * Author and ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... data quality, and committed to clear written and verbal communication. Scope of Work * Author and ...

This position reports to the Salesforce Platforms Owner and is open to remote candidates based in ... Monitor platform health, data quality, adoption, and performance, and drive continuous improvement

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Remote Data Quality information

See Manchester, NH salary details

$16

$41

$71

How much do remote data quality jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote data quality in Manchester, NH is $41.26, according to ZipRecruiter salary data. Most workers in this role earn between $27.74 and $54.09 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 Manchester, NH? For Remote Data Quality jobs in Manchester, NH, the most frequently searched job titles are:
What job categories do people searching Remote Data Quality jobs in Manchester, NH look for? The top searched job categories for Remote Data Quality jobs in Manchester, NH are:
What cities near Manchester, NH are hiring for Remote Data Quality jobs? Cities near Manchester, NH with the most Remote Data Quality job openings:
Infographic showing various Remote Data Quality job openings in Manchester, NH as of August 2026, with employment types broken down into 68% Full Time, 16% Part Time, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $85,815 per year, or $41.3 per hour.

Data Engineer - Hybrid On-Site

NTT DATA Services

Merrimack, NH • On-site, Remote

$102K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

117th of 223 rated it services


Job description

Req ID: 384089 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Data Engineer - Hybrid On-Site to join our team in Merrimack, New Hampshire (US-NH), United States (US).

Roles and Responsibilities:
- Develop complex SQL queries, PL/SQL packages, stored procedures, functions, and triggers using Oracle databases.
- Build, enhance, and maintain ETL workflows using Informatica PowerCenter to extract, transform, and load data from multiple source systems.
- Implement source code management and version control best practices using Jenkins, GitHub and GitOps.
- Create automation scripts using Python and Unix shell scripting to streamline data processing, monitoring, and operational activities.
- Manage and schedule batch processing jobs using enterprise scheduling tools such as Control-M and AutoSys.
- Support reporting and analytics initiatives by providing optimized data structures and datasets for OBIEE/OAS and other BI tools.
- Collaborate with business stakeholders, data architects, and application teams to gather requirements and deliver data solutions aligned with business objectives.
- Create and maintain technical documentation, including data flow diagrams, ETL mappings, deployment procedures, and operational support documents.
- Ensure data quality, integrity, consistency, and security throughout the data lifecycle.
- Monitor, troubleshoot, and resolve ETL failures, database issues, and data-related production incidents.
- Participate in code reviews, design discussions, and continuous improvement initiatives to enhance data engineering practices.
- Work closely with cross-functional teams to support data migration, modernization, and cloud transformation projects.
- Ensure compliance with data governance, security standards, and organizational policies.

Basic Qualifications:
5+ years of Expert-level knowledge of writing complex SQL queries using Oracle. 
5+ years of Expert-level knowledge of Oracle PL/SQL (Stored Procedures, Functions, packages, triggers) 
5+ years of working experience in scripting and automation using Unix, Python in a Data Engineering environment.
6+ years of extensive experience with Relational Databases like Oracle including being able to implement performance tuning techniques
5+ years of working experience using GitHUB for Source Code Management (SCM) in a Data Engineering Practice.

Preferred Qualifications:

Strong working experience in ETL tools like Informatica (Power Center)

Strong working knowledge of Data warehousing patterns and Dimensional Modelling techniques using Oracle.
Experience building scalable patterns for data integration in a cloud-based as well as on-prem environments
Working knowledge of Batch scheduling tools like Control-M, Autosys.
Experience with business intelligence and analytics tools such as OBIEE/OAS

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $102,675-$136,900. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications.

This position may also be eligible for incentive compensation based on individual and/or company performance. 

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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About NTT DATA

Sourced by ZipRecruiter

NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967