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Part Time Data Processing Jobs in New York (NOW HIRING)

Manager, HR Data Engineer

New York, NY · Hybrid

$110K - $123K/yr

People Department WORK LOCATION: 2 Broadway FULL/PART-TIME FULL SALARY RANGE: $110,000 - $123,000 ... Process-oriented with excellent documentation skills, including strong Excel & PowerPoint skills ...

... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... Lead complex, high-visibility deep dives & analyses that drive business decisions and process or ...

Payroll Clerk Part Time

New York, NY

$21.50 - $28.25/hr

Process payroll in accordance with established timelines and procedures Review employee time and ... data and accrual balances Respond to employee inquiries regarding pay, deductions, and accruals ...

Support Staff/Part Time School Aide Date Posted: 4/29/2026 Location: Linden Public Schools Date ... processes. * This role supports day-to-day administrative functions, including data entry, record ...

Responsibilities: • Process payroll in accordance with established timelines and procedures • ... and reconciliations of payroll data and accrual balances • Respond to employee inquiries ...

... data processing. Earn While You Learn Instead of paying to learn these skills, get paid to train ... Retirement benefits for part-time service * Low-cost life insurance (up to $400,000 in coverage ...

... and data analysis, tissue engineering and regenerative medicine, synthetic and systems ... Have training in statistical signal processing, machine learning * Be capabile to apply various ...

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Part Time Data Processing information

See New York salary details

$10

$21

$33

How much do part time data processing jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for part time data processing in New York is $21.67, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.09 per hour, depending on experience, location, and employer.

What is the difference between Part Time Data Processing vs Part Time Data Entry?

AspectPart Time Data ProcessingPart Time Data Entry
CredentialsBasic computer skills, familiarity with data processing softwareBasic computer skills, proficiency in typing and data entry tools
Work EnvironmentRemote or office-based, handling data files and softwareRemote or office-based, entering data into spreadsheets or databases
Industry UsageBusiness, finance, healthcare, and tech sectorsAdministrative, retail, healthcare, and customer service sectors

Part Time Data Processing involves managing and analyzing data using specialized software, often requiring some familiarity with data management tools. Part Time Data Entry focuses on inputting data into systems, emphasizing typing speed and accuracy. While both roles are often remote and require basic computer skills, data processing may involve more technical tasks, whereas data entry is more straightforward and clerical. Understanding these differences helps job seekers find roles that match their skills and career goals.

What are part time data processing jobs?

Part time data processing jobs involve handling, organizing, and managing data on a flexible or reduced-hour schedule. These roles typically require entering, updating, and verifying data in computer systems or databases. Common tasks may include data entry, cleaning up existing information, or generating reports. Part time positions are ideal for students, parents, or anyone seeking work-life balance, and can be found in various industries such as healthcare, finance, and retail.

What are the key skills and qualifications needed to thrive as a Part Time Data Processing professional, and why are they important?

To thrive in Part Time Data Processing, you need strong attention to detail, accuracy, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database systems, and sometimes data entry platforms is typically required. Time management, reliability, and effective communication are important soft skills that help ensure consistent and error-free work. These skills are crucial for maintaining data integrity and supporting organizational efficiency in data-driven environments.

What are some common challenges faced in a part-time data processing role, and how can they be managed?

Part-time data processing professionals often encounter challenges like tight deadlines, handling large data volumes, and ensuring accuracy despite working fewer hours. Staying organized and maintaining clear communication with supervisors can help manage shifting priorities and workloads. Additionally, utilizing automation tools and regularly verifying data accuracy can streamline tasks and reduce errors, making it easier to balance responsibilities within a part-time schedule.
What are the most commonly searched types of Data Processing jobs in New York? The most popular types of Data Processing jobs in New York are:
Manager, HR Data Engineer

$110K - $123K/yr

Full-time, Part-time

Posted 5 days ago


Metropolitan Transportation Authority rating

7.5

Company rating: 7.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

38th of 76 rated public transport


Job description

Description
Position at MTA Headquarters
JOB TITLE:
Manager, HR Data Engineer
DEPT/DIV:
People Department
WORK LOCATION:
2 Broadway
FULL/PART-TIME
FULL
SALARY RANGE:
$110,000 - $123,000
DEADLINE:
Until filled
This position is eligible for teleworking, which is currently one day per week. New hires are eligible to apply 30 days after their effective hire date.
Opening:
The Metropolitan Transportation Authority is North America's largest transportation network, serving a population of 15.3 million people across a 5,000-square-mile travel area surrounding New York City, Long Island, southeastern New York State, and Connecticut. The MTA network comprises the nation's largest bus fleet and more subway and commuter rail cars than all other U.S. transit systems combined. MTA strives to provide a safe and reliable commute, excellent customer service, and rewarding opportunities.
Position Objective:
This position will report to the Director of HR Data Science and support the day-to-day data pipeline initiatives to design, build, and maintain ease for data structures to facilitate reporting and monitor key performance indicators. The incumbent will collaborate across Human Capital Management disciplines to identify internal/external data sources to design table structure, define ETL strategy, automate quality assurance checks, and implement scalable ETL solutions.
Responsibilities:
  • Ensure that all assignments are completed with the highest quality and within agreed-upon Service Level agreement guidelines and Key Performance Indicator (KPI) targets.
  • Create and conduct a project/architecture design review.
  • Proficient knowledge of Azure Data Factory, Databricks, & Azure Delta Lake.
  • Experience programming languages (e.g., Python, R).
  • Working experience in data extraction using API.
  • Develop HR data pipelines and reports with advanced SQL programming language and maintain Data Warehousing/Data Lakes/Data Hubs and Analytical reporting Environment.
  • Work with IT teams to collect required data from internal and external systems and troubleshoot HR system issues.
  • Design and build modern data management solutions and create POC when necessary to test new approaches.
  • Create runbooks and actionable alerts as part of the development process.
  • Perform SQL and ETL tuning as necessary.
  • Perform ad hoc analysis as necessary.
  • Identify and implement continuous improvement initiatives as assigned.
  • Other duties as assigned.

Qualifications:
Knowledge/Skills/Abilities:
  • Strong understanding of data modeling principles, including Dimensional modeling, data normalization principles, etc.
  • Proficient understanding of SQL Engines and able to develop advanced queries and analytics
  • Familiarity with data exploration/data visualization tools like MS Power BI, PeopleSoft HCM, JobVite,
  • JDXpert, Jetdocs, or Oracle Analytics CloudAbility to think strategically, analyze, and interpret Human Capital Management and Financial data.
  • Strong communication skills - written and verbal presentations.
  • Excellent conceptual and analytical reasoning competencies.
  • Comfortable working in a fast-paced and highly collaborative environment.
  • Process-oriented with excellent documentation skills, including strong Excel & PowerPoint skills, Visio flows, and mock-up creation.

Required Education and Experience:
  • Bachelor's degree in Computer Science, Information Management, Statistics, or Finance or related field. An equivalent combination of education and experience may be considered in lieu of a degree.
  • A minimum of four (4) years of relevant professional experience leading, implementing, and reporting on business key performance indicators in a data warehousing/lake/hub environment.
  • Minimum of four (4) years of experience using SQL for analytics, working with traditional relational databases and/or distributed systems such as PeopleSoft Enterprise Performance Management (EPM), Hadoop / Hive, BigQuery, Redshift, or Oracle Databases.

Preferred:
  • Master's Degree in Computer Science, Information Management, or Statistics
  • Experience programming languages (e.g., Python, R) preferred.
  • Minimum of four (4) years of management experience
  • Minimum of one (1) year of experience with workflow management tools (Airflow, Oozie, Azkaban, UC4)
  • Understanding of Finance Data and Human Resource Data practices and procedures.
  • Proficient Knowledge of Data Repositories/warehouses/Lakes/Hubs.

Other Information
May need to work outside of normal work hours (i.e., evenings and weekends)
Travel may be required to other MTA locations or other external sites.
According to the New York State Public Officers Law & the MTA Code of Ethics, all employees who hold a policymaking position must file an Annual Statement of Financial Disclosure (FDS) with the NYS Commission on Ethics and Lobbying in Government (the "Commission").
Employees driving company vehicles must complete defensive driver training once every three years for current MNR drivers, or within 180 days of hire or transfer for an employee entering an authorized driving position.
Equal Employment Opportunity
MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including those concerning veteran status and individuals with disabilities.
The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.

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