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Data Extraction Jobs (NOW HIRING)

1 point system

Insurance Data Analyst

New York, NY · Remote

Advanced SQL skills, including data extraction, joins, aggregations, and reconciliation analysis. * Experience analyzing policy, premium, and claims data. * Strong Excel skills, including PivotTables ...

New

The Timberline Group

Data Analyst

Saint Louis, MO · On-site

Extract, transform, and load (ETL) data from multiple SQL tables into Power BI. * Design and build interactive dashboards and reports tailored to financial performance metrics and trends. * Optimize ...

Community Health Care Inc

Data Analyst

Bridgeton, NJ

$150K/yr

Serve as a subject matter expert for clinical data structures, data extraction, and database performance tuning * Design and support data integrations and interfaces between EHR systems, HIEs, and ...

The Timberline Group

Data Analyst

Saint Louis, MO · On-site

Extract, transform, and load (ETL) data from multiple SQL tables into Power BI. * Design and build interactive dashboards and reports tailored to financial performance metrics and trends. * Optimize ...

Edmunds GovTech, Inc.

Data Analyst

Northfield, NJ

Description This position is responsible for interacting directly with our clients to discover, acquire, and extract data from their legacy software systems using a wide range of technologies such as ...

Hirekeyz Inc

Data Migration Consultant

Cleveland, OH · On-site

Experience with data extraction, transformation, loading (ETL) * Good understanding of product structure and metadata mapping in PLM systems Preferred: * Experience working on large-scale migration ...

INSPYR Solutions

Sr. Data Engineer

Charlotte, NC · Remote

$111K - $134K/yr

Extract data from APIs using Python and AWS Lambda and automate workflows with AWS Airflow. * Perform analysis and critical thinking to troubleshoot data-related issues and implement checks/scripts ...

Sarian, Inc.

AWS Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Build and maintain robust ETL processes for efficient data extraction, transformation, and loading, ensuring data quality and integrity across systems. Data Warehousing: Design and manage data ...

Glow Networks

Data Analyst

Mountain View, CA · On-site

Design and develop data preparation components and processes that extract and transform data across disparate database tables (structured and unstructured data) by creating aggregates tables for ...

Edmunds GovTech

Data Analyst

Northfield, NJ · On-site

$60K - $75K/yr

Job Type Full-time Description This position is responsible for interacting directly with our clients to discover, acquire, and extract data from their legacy software systems using a wide range of ...

Texas State Library and Archives Commision

Data Engineer

$117K - $140K/yr

We are seeking a skilled Data Engineer with AWS experience to design and develop ETL jobs for a DB2 data warehouse to support Cognos reporting needs. The ideal candidate will work closely with ...

Real Soft, Inc.

Data Scientist

San Antonio, TX · On-site

Experience with data extraction, transformation, and preparation (ETL/ELT) * Familiarity with data formats such as JSON, XML, and others * Experience defining and managing data schemas and ...

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Data Extraction information

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How much do data extraction jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for data extraction in the United States is $28.18, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $31.25 per hour, depending on experience, location, and employer.

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 the Data Extraction position, 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.

What is a Data Extraction job?

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.

More about Data Extraction jobs
What cities are hiring for Data Extraction jobs? Cities with the most Data Extraction job openings:
What are the most commonly searched types of Data Extraction jobs? The most popular types of Data Extraction jobs are:
What states have the most Data Extraction jobs? States with the most job openings for Data Extraction jobs include:
What job categories do people searching Data Extraction jobs look for? The top searched job categories for Data Extraction jobs are:
Data Extraction jobs near you
Infographic showing various Data Extraction job openings in the United States as of June 2026, with employment types broken down into 5% As Needed, 5% Full Time, 74% Part Time, and 16% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $58,613 per year, or $28.2 per hour.

Insurance Data Analyst

1 point system

New York, NY • Remote

Contractor

Posted 2 days ago

Job description

Required Qualifications

  • 5+ years of experience working with insurance bordereaux (BDX) reporting, premium reporting, or insurance data analysis.
  • Strong understanding of MGA, Program, P&C, or Specialty Insurance operations.
  • Advanced SQL skills, including data extraction, joins, aggregations, and reconciliation analysis.
  • Experience analyzing policy, premium, and claims data.
  • Strong Excel skills, including PivotTables, VLOOKUP/XLOOKUP, and data validation techniques.
  • Experience identifying and resolving data quality issues.
  • Excellent analytical, problem-solving, and communication skills.