1

Data Maintenance Jobs (NOW HIRING)

Define, maintain, and improve data rules, mappings, transformations, and interface requirements. * Identify, investigate, and resolve data discrepancies across systems to improve accuracy ...

New

Be Seen First

Maintain and update encounter-related policies, procedures, and documentation. * Support data maintenance activities related to providers, eligibility, benefits, fee schedules, and other system ...

Support data maintenance for all equipment included on service contracts. Create planned service work orders and site sheets for technicians and service coordinators related to Preventative ...

Maintain compliance with all applicable registry standards and coding guidelines, including ... Quality Assurance and Data Integrity * Provide the Contract Manager with a list of completed cases.

Key Responsibilities: · Own and manage the Preventative Maintenance (PM) program, including execution, and continuous improvement. · Work with sales to enter and maintain contractual data related ...

HR Data Accuracy & Governance * Ensure high levels of accuracy, consistency, and integrity of ... Maintain and monitor salary structures for management roles, ensuring appropriate positioning and ...

HR Data Accuracy & Governance * Ensure high levels of accuracy, consistency, and integrity of ... Maintain and monitor salary structures for management roles, ensuring appropriate positioning and ...

HR Data Accuracy & Governance * Ensure high levels of accuracy, consistency, and integrity of ... Maintain and monitor salary structures for management roles, ensuring appropriate positioning and ...

HR Data Accuracy & Governance * Ensure high levels of accuracy, consistency, and integrity of ... Maintain and monitor salary structures for management roles, ensuring appropriate positioning and ...

HR Data Accuracy & Governance * Ensure high levels of accuracy, consistency, and integrity of ... Maintain and monitor salary structures for management roles, ensuring appropriate positioning and ...

HR Data Accuracy & Governance * Ensure high levels of accuracy, consistency, and integrity of ... Maintain and monitor salary structures for management roles, ensuring appropriate positioning and ...

HR Data Accuracy & Governance * Ensure high levels of accuracy, consistency, and integrity of ... Maintain and monitor salary structures for management roles, ensuring appropriate positioning and ...

next page

Showing results 1-20

Data Maintenance information

See salary details

$12

$22

$34

How much do data maintenance jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for data maintenance in the United States is $22.84, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $27.16 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Maintenance position, and why are they important?

To thrive as a Data Maintenance professional, you need strong attention to detail, data entry accuracy, organizational skills, and a basic understanding of database management, often supported by a high school diploma or associate degree. Familiarity with data management tools such as Microsoft Excel, SQL databases, and possibly certification in data handling or information management systems is valuable. Effective communication, problem-solving abilities, and a commitment to data integrity are key soft skills in this role. These competencies ensure data is consistently accurate, up-to-date, and accessible for organizational decision-making.

What is a Data Maintenance job?

A Data Maintenance job involves managing, updating, and ensuring the accuracy of an organization's data. Responsibilities typically include data entry, validation, cleanup, and troubleshooting inconsistencies. This role helps maintain data integrity, ensuring that information is accurate and accessible for decision-making. Data Maintenance professionals may work with databases, spreadsheets, or data management software to support business operations.

What are some typical challenges faced by Data Maintenance professionals in their daily work?

Data Maintenance professionals often encounter challenges such as ensuring data accuracy amidst large volumes of information, identifying and correcting inconsistencies, and keeping up with frequent system updates or changes. They may also need to coordinate with other departments to verify data sources and resolve discrepancies, which requires strong communication skills and persistence. Staying organized and adapting to evolving data management tools are important for success in this role. Over time, overcoming these challenges builds expertise and can open up opportunities for advancement into more specialized data management or analyst positions.

More about Data Maintenance jobs
What cities are hiring for Data Maintenance jobs? Cities with the most Data Maintenance job openings:
What are the most commonly searched types of Data Maintenance jobs? The most popular types of Data Maintenance jobs are:
What states have the most Data Maintenance jobs? States with the most job openings for Data Maintenance jobs include:
Infographic showing various Data Maintenance job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Hybrid job distribution, with an average salary of $47,512 per year, or $22.8 per hour.
Lead Data Analysis

Lead Data Analysis

AT&T

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 hours ago


AT&T rating

7.4

Company rating: 7.4 out of 10

Based on 700 frontline employees who took The Breakroom Quiz

37th of 76 rated telecommunications companies


Job description

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

Overall Purpose: Lead Data Analysis professionals are responsible for ensuring the accuracy, integrity, and usability of enterprise data across multiple business applications and repositories. This role focuses on data collection, processing, mapping, quality improvement, discrepancy resolution, and interface support to maintain trusted data foundations. The position enables downstream reporting, analytics, and business decision-making by improving data reliability at scale.

Role Summary: This role is centered on improving and maintaining trusted enterprise data rather than owning dashboards or visualization deliverables. The Lead Data Analysis position supports data quality, governance, integrations, lifecycle management, and scalable issue resolution so business and analytics teams can rely on accurate data.

Key Responsibilities:

  • Collect, process, cleanse, and validate data from multiple internal and external sources.
  • Define, maintain, and improve data rules, mappings, transformations, and interface requirements.
  • Identify, investigate, and resolve data discrepancies across systems to improve accuracy, consistency, and reliability.
  • Monitor data quality, hierarchy integrity, and matching outcomes; recommend scalable corrective actions and logic improvements.
  • Support production data processes across the lifecycle, including pre-production validation, production issue resolution, and post-production monitoring.
  • Partner with business, analytics, and technology teams to ensure trusted data supports reporting, segmentation, and decision-making.
  • Contribute to automation and advanced data quality initiatives that reduce manual rework, operational risk, and downstream escalations.
  • Translate data issues into business impact and prioritize improvements that enhance efficiency, accuracy, and scalability.

Qualifications:

  • Experience working in complex, multi-source enterprise data environments.
  • Strong knowledge of data quality, data governance, hierarchy management, and account or customer matching concepts.
  • Ability to analyze root causes, assess downstream impacts, and implement durable data quality improvements.
  • Experience supporting production data environments with a focus on stability, scalability, and issue resolution.
  • Demonstrated proficiency using SQL (Snowflake preferred but SQL Server, Oracle, and Teradata are also relevant), analytical or data tools such as Python to analyze data, validate outputs, and resolve complex data issues; AI tool experience is a plus.
  • Strong collaboration, communication, and prioritization skills across business, analytics, and technology teams.
  • Experience supporting automation or AI/ML-enabled data maintenance initiatives is a plus.

Job Contribution: Recognized as an experienced professional with broad and in-depth knowledge, this role resolves complex data issues, leads significant initiatives with strategic autonomy, and influences decisions that improve enterprise data quality and operational performance. The position collaborates across teams, supports long-term data improvements, and may mentor less experienced staff.

Supervisor: No

TCP Career Step Differentiator: Manages complex data movement and storage from multiple sources, and high-level analytics to solve business problems.

Education/Experience: Bachelor's degree preferred in Computer Science, Mathematics, Information Systems, or a related field. Typically requires 5+ years of relevant experience in data analysis, data quality, data management, or related disciplines. Certifications may be required in some areas.

Our Lead Data Analysis, earns between$130,700 - $196,100. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Joining our team comes with amazing perks and benefits

  • Medical/Dental/Vision coverage

  • 401(k) plan

  • Tuition reimbursement program

  • Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)

  • Paid Parental Leave

  • Paid Caregiver Leave

  • Additional sick leave beyond what state and local law require may be available but is unprotected

  • Adoption Reimbursement

  • Disability Benefits (short term and long term)

  • Life and Accidental Death Insurance

  • Supplemental benefit programs: 8critical illness/accident hospital indemnity/group legal

  • Employee Assistance Programs (EAP)

  • Extensive employee wellness programs

  • Employee discounts up to 50% off on eligible AT&T mobility plans and accessories,

  • AT&T internet (and fiber where available) and AT&T phone

If you're ready to make an impact on our business and your career, bring your bold ideas to a world of possibility.

Apply today!

Weekly Hours:

40

Time Type:

Regular

Location:

Dallas, Texas

Salary Range:

$130,700.00 - $196,100.00

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities.AT&T is a fair chance employer and does not initiate a background check until an offer is made.


What AT&T employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom