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Data Extraction Jobs in New York (NOW HIRING)

Motion Recruitment Partners, LLC

Data Engineer

Rutherford, NJ · On-site

$116K - $140K/yr

Experience with ETL tools, data pipeline frameworks, and big data technologies. * Knowledge of Quality Engineering (QE) fundamentals, including data validation, testing frameworks, and automation

3S Business Corporation

Data Modeler

New York, NY · On-site

$60 - $77.75/hr

... Data Warehouse/Data Mart development, Data Warehousing (OLAP)/Business Intelligence (BI ... SAP Business Objects ETL Tools: Microsoft SSIS and Informatica 7.1.3 Database Tools: Microsoft SQL ...

ApexCare Talent Solutions

Data Scientist

New York, NY · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Extract, clean, transform, and aggregate data from relational and non-relational databases for analysis and model training. A/B Testing & Experimentation: Design, execute, and analyze controlled ...

Posted today

Staffingine LLC

ETL Test Engineer

Jersey City, NJ · On-site

Strong expertise in validating the data extraction transformation and loading process * Excellent proficiency in writing complex SQL queries for data validation reconciliation * Knowledge of ETL ...

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How much do data extraction jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data extraction in New York is $30.81, according to ZipRecruiter salary data. Most workers in this role earn between $16.56 and $34.16 per hour, depending on experience, location, and employer.

What is a data extraction?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

What are the typical daily responsibilities for someone working in data extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

What are the key skills and qualifications needed to thrive in data extraction, and why are they important?

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

How to become a data extraction?

To become a data extraction specialist, develop skills in data management, programming languages like Python or SQL, and familiarity with data extraction tools such as web scrapers or ETL software. Gaining experience through relevant projects or certifications can improve job prospects, and understanding data privacy and security is also beneficial.

What are the most commonly searched types of Data Extraction jobs in New York?

The most popular types of Data Extraction jobs in New York are:

What are popular job titles related to Data Extraction jobs in New York?

For Data Extraction jobs in New York, the most frequently searched job titles are:

What job categories do people searching Data Extraction jobs in New York look for?

The top searched job categories for Data Extraction jobs in New York are:

What cities in New York are hiring for Data Extraction jobs?

Cities in New York with the most Data Extraction job openings:

Data Extraction jobs near you
Infographic showing various Data Extraction job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $64,080 per year, or $30.8 per hour.

Data Engineer

Motion Recruitment Partners, LLC

Rutherford, NJ • On-site

$116K - $140K/yr

Other

Posted 16 days ago

Job description

Grow your career as a Data Engineer with an innovative global bank in Rutherford, NJ. Contract role with strong possibility of extension and/or conversion. Will require working a hybrid schedule 2-3 days onsite per week.
Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.
Contract Duration: 6+ Months
Required Skills & Experience
  • Bachelor's degree in Computer Science, Information Systems, Engineering
  • 5-8 years of experience in data engineering, SQL development, data analysis, or related field.
  • Strong proficiency in SQL and experience with relational databases and data warehousing concepts.
  • Experience with ETL tools, data pipeline frameworks, and big data technologies.
  • Knowledge of Quality Engineering (QE) fundamentals, including data validation, testing frameworks, and automation
  • Strong problem-solving, analytical, and troubleshooting skills.
  • Excellent communication and stakeholder management abilities.
  • Experience working in complex, cross-functional environments.

Desired Skills & Experience
  • Strongly prefer Risk and Wealth experience

What You Will Be Doing
  • Design, build, and maintain scalable data pipelines and ETL processes to support analytics and operational use cases
  • Develop and optimize complex SQL queries for data extraction, transformation, and validation
  • Implement data quality checks, validation rules, and QE practices to ensure accuracy, consistency, and reliability of data
  • Partner with business and technology teams to translate requirements into technical data solutions
  • Analyze and troubleshoot data issues, performing root cause analysis and implementing fixes
  • Drive data governance and standardization efforts across systems and platforms
  • Support system integration and data flow across multiple applications and environments
  • Lead data-related aspects of system changes, from requirements through development, testing (QE), and deployment
  • Collaborate with QE teams to define test strategies, automate data validation, and ensure end-to-end system quality
  • Communicate risks, dependencies, and impacts of data solutions to stakeholders
  • Ensure compliance with data governance policies, regulatory requirements, and best practices

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