1

Temporary Data Extraction Jobs in Brooklyn, NY (NOW HIRING)

Manager, HR Data Engineer

Manhattan, NY · Hybrid

$110K - $123K/yr

New York, NY, United States Regular/Temporary: Regular Department: Human Resources Data Science ... Working experience in data extraction using API. * Develop HR data pipelines and reports with ...

Manager, Data Engineering

Manhattan, NY · On-site

$88.54K - $127.16K/yr

Oversee ETL and metadata management to ensure stability, security, and compliance * Present issues ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Data & Research Analyst

New York, NY · On-site

$70K - $75K/yr

Regular * End Date if Temporary: * Hours Per Week: 35 * Standard Work Schedule: * Building ... Build and maintain databases and automate data processes, including ETL, SQL, stored procedures ...

Senior Data Engineer

Manhattan, NY · On-site

$116.90K - $158.70K/yr

Hands-on IBM DataStage ETL development experience, including data mapping and transformation implementation. * Strong SQL Server experience with advanced T SQL (joins, window functions, CTEs, temp ...

Senior Data Engineer

Manhattan, NY · Hybrid

$116.90K - $158.70K/yr

... DataStage ETL development experience, including data mapping and transformation implementation. • Strong SQL Server experience with advanced T SQL (joins, window functions, CTEs, temp tables ...

next page

Showing results 1-20

Temporary Data Extraction information

What are the key skills and qualifications needed to thrive as a Temporary Data Extraction Specialist, and why are they important?

To thrive as a Temporary Data Extraction Specialist, you need strong attention to detail, data entry accuracy, and familiarity with spreadsheets or databases, typically supported by a high school diploma or equivalent. Proficiency with tools such as Microsoft Excel, data extraction software, and sometimes OCR systems is usually required. Analytical thinking, time management, and reliability are crucial soft skills for managing repetitive tasks and meeting deadlines. These competencies ensure accurate data collection, minimize errors, and help maintain workflow efficiency during short-term projects.

What are the typical challenges faced in a Temporary Data Extraction role, and how can they be managed?

Temporary Data Extraction professionals often encounter challenges such as inconsistencies in source data, tight deadlines, and adapting quickly to new tools or procedures. It's important to pay close attention to detail and communicate regularly with team members or supervisors to clarify requirements and resolve ambiguities. Familiarizing yourself with the data extraction software and maintaining organized records can help manage workload efficiently. Additionally, being proactive about asking questions when encountering unclear data can prevent errors and streamline the extraction process.

What are Temporary Data Extraction jobs?

Temporary Data Extraction jobs involve short-term assignments where individuals are responsible for collecting, retrieving, and organizing data from various sources, such as documents, databases, or websites. These roles are typically project-based and may require the use of specialized software or tools to extract data efficiently and accurately. Temporary data extraction positions are common in industries undergoing digital transformation, data migration, or large-scale information updates. Workers in these roles need strong attention to detail and may work independently or as part of a team. Since these jobs are temporary, assignments can range from a few days to several months, depending on the project's scope.

What is the difference between Temporary Data Extraction vs Data Analyst?

AspectTemporary Data ExtractionData Analyst
Required CredentialsBasic technical skills, often no formal degree requiredBachelor's degree in data-related fields, certifications preferred
Work EnvironmentProject-based, short-term assignments, often remote or on-siteOngoing, full-time or part-time roles within organizations
Industry UsageCommon in data collection, research, and initial data processingUsed for interpreting data, creating reports, and strategic analysis

Temporary Data Extraction involves short-term tasks focused on collecting and extracting data, often requiring basic technical skills. Data Analysts typically hold formal education and perform ongoing analysis to support business decisions. While both roles work with data, their scope, credentials, and work environment differ significantly.

What are the most commonly searched types of Data Extraction jobs in Brooklyn, NY? The most popular types of Data Extraction jobs in Brooklyn, NY are:
What are popular job titles related to Temporary Data Extraction jobs in Brooklyn, NY? For Temporary Data Extraction jobs in Brooklyn, NY, the most frequently searched job titles are:
What cities near Brooklyn, NY are hiring for Temporary Data Extraction jobs? Cities near Brooklyn, NY with the most Temporary Data Extraction job openings:
Manager, HR Data Engineer

Manager, HR Data Engineer

MTA, Inc.

Manhattan, NY • Hybrid

$110K - $123K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Manager, HR Data Engineer

Job ID: 13709

Business Unit: MTA Headquarters

Location: New York, NY, United States

Regular/Temporary: Regular

Department: Human Resources Data Science

Date Posted: Nov 10, 2025

Description

JOB TITLE:

Manager , HR Data Engineer

DEPT/DIV:

People Department

WORK LOCATION:

2 Broadway

FULL/PART-TIME

FUL L

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 creatio n.

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 .

P referred:

  • 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.