1

Data Extraction Jobs in New York (NOW HIRING)

... the data extraction, transformation and loading process • Excellent proficiency in writing complex SQL queries for data validation, reconciliation • Knowledge of ETL processes and data ...

Data Analyst

New York, NY · Remote

$55 - $60/hr

Strong SQL skills for data extraction and analysis * Experience building dashboards using Tableau, Power BI, Alteryx, or similar tools * Knowledge of statistical analysis such as hypothesis testing ...

Web Crawling & Data Extraction: * Deep expertise in web crawling technologies and advanced scraping (Scrapy or similar). * Experience in extracting structured/unstructured web data and SERP ...

We are seeking an experienced Senior OnBase Developer to support the analysis, development, data extraction, and migration of a legacy Hyland OnBase environment to modern enterprise content and ...

We are seeking an experienced Senior OnBase Developer to support the analysis, development, data extraction, and migration of a legacy Hyland OnBase environment to modern enterprise content and ...

We are seeking an experienced Senior OnBase Developer to support the analysis, development, data extraction, and migration of a legacy Hyland OnBase environment to modern enterprise content and ...

We are seeking an experienced Senior OnBase Developer to support the analysis, development, data extraction, and migration of a legacy Hyland OnBase environment to modern enterprise content and ...

We are seeking an experienced Senior OnBase Developer to support the analysis, development, data extraction, and migration of a legacy Hyland OnBase environment to modern enterprise content and ...

We are seeking an experienced Senior OnBase Developer to support the analysis, development, data extraction, and migration of a legacy Hyland OnBase environment to modern enterprise content and ...

We are seeking an experienced Senior OnBase Developer to support the analysis, development, data extraction, and migration of a legacy Hyland OnBase environment to modern enterprise content and ...

We are seeking an experienced Senior OnBase Developer to support the analysis, development, data extraction, and migration of a legacy Hyland OnBase environment to modern enterprise content and ...

We are seeking an experienced Senior OnBase Developer to support the analysis, development, data extraction, and migration of a legacy Hyland OnBase environment to modern enterprise content and ...

We are seeking an experienced Senior OnBase Developer to support the analysis, development, data extraction, and migration of a legacy Hyland OnBase environment to modern enterprise content and ...

We are seeking an experienced Senior OnBase Developer to support the analysis, development, data extraction, and migration of a legacy Hyland OnBase environment to modern enterprise content and ...

We are seeking an experienced Senior OnBase Developer to support the analysis, development, data extraction, and migration of a legacy Hyland OnBase environment to modern enterprise content and ...

We are seeking an experienced Senior OnBase Developer to support the analysis, development, data extraction, and migration of a legacy Hyland OnBase environment to modern enterprise content and ...

Showing results 41-60

Data Extraction information

See New York salary details

$12

$30

$76

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:

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 (Python / Power BI / Cloud)

TSG Risk Management

New York, NY • On-site, Remote

$80K - $100K/yr

Contractor

Re-posted 2 days ago


Job description

Location Requirement

This is a hybrid position based in New York City, with an expectation of 4 days per week in the office 1 day remote. Candidates must be local to the NYC area or open to relocation.

Position Overview

We are seeking a well-rounded Data Engineer to design, build, and support scalable data pipelines, analytics solutions, and reporting tools. This role sits at the intersection of data engineering, analytics, and stakeholder collaboration, and will play a key role in delivering high-quality, data-driven insights across the organization.

The ideal candidate is hands-on with Python, SQL, and ETL development, while also being comfortable building Power BI dashboards and partnering with cross-functional teams in an Agile environment.

Key Responsibilities
  • Design, develop, and maintain secure and scalable data pipelines and ETL processes
  • Build and optimize data models to support analytics and reporting use cases
  • Develop Power BI dashboards and reports to deliver actionable insights
  • Collaborate with cross-functional stakeholders to gather requirements and translate them into technical solutions
  • Participate in Agile ceremonies and project meetings, ensuring alignment on deliverables, timelines, and quality standards
  • Implement data quality controls and ensure accuracy, consistency, and reliability of data outputs
  • Develop and maintain Python scripts for data extraction, transformation, and automation
  • Support metric development and reporting automation initiatives
  • Contribute to infrastructure-related activities, including deployments and environment support
  • Create and maintain technical documentation (e.g., Confluence)
  • Provide regular updates on progress, risks, and dependencies to stakeholders
Required Qualifications
  • 4-6+ years of experience in data engineering or related field
  • Strong experience with Python and SQL
  • Hands-on experience building and maintaining ETL/data pipelines
  • Experience with data modeling and working with structured datasets
  • Experience with Power BI (dashboard development and reporting)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Experience working in Agile environments with cross-functional teams
  • Strong problem-solving skills and attention to detail
  • Excellent communication skills with the ability to work with both technical and non-technical stakeholders
Preferred Qualifications
  • Experience with data automation and metric standardization
  • Exposure to infrastructure deployments or DevOps practices
  • Experience with Confluence or similar documentation tools
  • Prior experience supporting enterprise reporting or analytics initiatives
Employment Type: CONTRACTOR