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Freelance Data Extraction Jobs (NOW HIRING)

Data Engineer

Austin, TX · On-site

$55 - $70/hr

The ideal candidate will have strong expertise in data engineering, ETL/ELT development, data ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Sr. Data Engineer

Boston, MA · On-site

$50 - $65/hr

Refactor existing ETL processes to improve performance, scalability, and reliability. * Perform ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Data Manager of Data Engineering PHM is the leading health media agency in the US, built for the ... Oversee ETL and metadata management to ensure stability, security, and compliance * Present issues ...

Sr. Data Engineer

Boston, MA · On-site

$50 - $60/hr

Design, develop, optimize, and maintain scalable data pipelines and ETL/ELT workflows. * Refactor ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

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Freelance Data Extraction information

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$14

$47

$132

How much do freelance data extraction jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for freelance data extraction in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is the difference between Freelance Data Extraction vs Data Entry Specialist?

AspectFreelance Data ExtractionData Entry Specialist
CredentialsBasic computer skills, familiarity with data extraction toolsTyping speed, accuracy, basic computer skills
Work EnvironmentRemote, project-basedOffice or remote, often in-house
Industry UsageMarket research, web scraping, data collectionDatabase updates, form filling, record management
Search & Comparison IntentFocus on extracting data from various sourcesFocus on inputting data into systems

Freelance Data Extraction involves collecting data from websites, PDFs, or databases, often requiring specialized tools. Data Entry Specialists focus on inputting and managing data within systems. While both roles require accuracy and computer skills, Freelance Data Extraction emphasizes data collection from external sources, whereas Data Entry Specialists handle internal data management tasks.

What cities are hiring for Freelance Data Extraction jobs? Cities with the most Freelance 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 Freelance Data Extraction jobs? States with the most job openings for Freelance Data Extraction jobs include:
What job categories do people searching Freelance Data Extraction jobs look for? The top searched job categories for Freelance Data Extraction jobs are:
Infographic showing various Freelance Data Extraction job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, and 12% Part Time. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.
Data Engineer

$55 - $70/hr

Contractor

Medical, Dental, Retirement

Posted 7 days ago


Job description

We are seeking a skilled Data Engineer to support a critical enterprise data migration initiative. This role will focus on analyzing existing Hierarchical Data Models (HDM), understanding complex transformation logic, and converting them into scalable, production-ready Data Warehouse (DW) solutions. The ideal candidate will have strong expertise in data engineering, ETL/ELT development, data warehousing, and backend data processing, with the ability to work closely with architects and business stakeholders to ensure successful migration and modernization of enterprise data assets.
  • Job Title: Data Engineer
  • Location: Austin, TX (Hybrid)
  • Contract Duration: Through End of Year (Possible Extension)
  • Rate Range: $55-$70/hr on W2
  • Only W2 Candidates, NO C2C

Responsibilities:
  • Analyze existing HDM tables and associated transformation logic.
  • Re-engineer HDM structures into optimized and scalable Data Warehouse tables.
  • Design, develop, and maintain automated ETL/ELT pipelines for production environments.
  • Build and support backend data processing workflows, integrations, and transformation pipelines.
  • Develop and contribute to REST APIs supporting data services and integrations.
  • Collaborate with Data Architects, Product Teams, and Business Stakeholders to validate requirements and ensure successful implementation.
  • Ensure high data quality, consistency, scalability, and performance across migrated datasets.
  • Create detailed technical documentation and support knowledge transfer activities.
  • Support data migration efforts from legacy systems to modern enterprise data platforms.

Required Qualifications:
  • 3-5+ years of experience as a Data Engineer.
  • Strong expertise in SQL with experience working on large-scale and complex datasets.
  • Hands-on experience with modern Data Warehouse platforms such as Snowflake, Redshift, BigQuery, Teradata, or equivalent.
  • Experience with ETL/ELT tools including DBT, Airflow, Informatica, Talend, or similar technologies.
  • Strong programming skills in Python, Scala, or Java for data processing and automation.
  • Experience building or contributing to REST APIs.
  • Strong understanding of relational databases and SQL optimization techniques.
  • Experience with backend data flows, ETL workflows, batch processing, and event-driven architectures.
  • Knowledge of data modeling concepts including Star Schema, Dimensional Modeling, and Normalization.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and stakeholder collaboration abilities.

Required Skills:
  • Data Engineering
  • SQL
  • Data Warehousing
  • ETL / ELT Development
  • Python / Scala / Java
  • REST APIs
  • Data Modeling
  • Data Migration
  • Data Integration
  • Batch Processing
  • Event-Driven Architectures

Technical Skills:
  • Snowflake
  • Redshift
  • BigQuery
  • Teradata
  • DBT
  • Apache Airflow
  • Informatica
  • Talend
  • Python
  • Scala
  • Java
  • SQL
  • Relational Databases
  • NoSQL Databases
  • REST APIs

Preferred Qualifications:
  • Experience working with HDM systems and migrations to modern Data Warehouse platforms.
  • Knowledge of cloud platforms including AWS, Azure, or GCP.
  • Experience documenting and handing off large-scale data migration projects.
  • Familiarity with distributed systems and asynchronous/event-driven architectures.

If you meet the required qualifications and are interested in this role, please apply today.
The Solomon Page Distinction
Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook , and LinkedIn .
Opportunity Awaits.

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