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Data Extraction Specialist Jobs (NOW HIRING)

Samprasoft

BI Data Engineer

Chicago, IL

Data Specialist Data Specialist to assist with enabling BI (Business Intelligence) datasets to ... Contribute to designing robust, scalable data extraction, transformation and loading (ETL) ...

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Data Extraction Specialist information

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$28K

$72.9K

$88K

How much do data extraction specialist jobs pay per year?

As of Jun 13, 2026, the average yearly pay for data extraction specialist in the United States is $72,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $87,000.00 per year, depending on experience, location, and employer.

What does a data extraction specialist do?

A data extraction specialist is responsible for retrieving data from various sources such as websites, databases, or documents to organize and prepare it for analysis. They often use tools like web scrapers, SQL, or data management software and need strong attention to detail and technical skills. Their work supports data-driven decision-making in organizations.

What are the key skills and qualifications needed to thrive in the Data Extraction Specialist position, and why are they important?

A Data Extraction Specialist needs strong analytical skills, attention to detail, and familiarity with data management practices, often backed by a degree in computer science, information systems, or a related field. Proficiency with data extraction tools (such as SQL, Python, or ETL platforms), as well as experience with databases and data transformation software, is highly beneficial. Excellent problem-solving abilities, effective communication, and strong organizational skills are important for excelling in the role. These competencies ensure accurate data retrieval, smooth collaboration, and the ability to navigate complex data sources efficiently.

What skills are needed for data extraction?

Data Extraction Specialists need strong analytical skills, attention to detail, and proficiency with data management tools such as Excel, SQL, or specialized extraction software. Knowledge of programming languages like Python or R can enhance efficiency, and understanding data privacy and security protocols is also important.

What is a Data Extraction Specialist job?

A Data Extraction Specialist is responsible for collecting, processing, and organizing data from various sources, such as databases, websites, or documents. They use tools like SQL, Python, or web scraping techniques to extract relevant information efficiently. Their role ensures that data is accurate, formatted correctly, and ready for analysis or reporting. These specialists often work with data analysts, engineers, or business teams to support decision-making processes.

What is a data extraction job?

A data extraction job involves retrieving specific information from various sources such as websites, databases, or documents. It often requires skills in data management, familiarity with tools like web scrapers or SQL, and attention to detail to ensure accurate data collection and transfer.

What are some common challenges faced by Data Extraction Specialists, and how can they address them?

Data Extraction Specialists often encounter challenges such as inconsistent data formats, incomplete data sources, and integration issues between different systems. To address these, professionals in the field leverage advanced scripting, data validation techniques, and collaborate closely with data engineers or system administrators to resolve technical obstacles. Staying current with evolving data extraction tools and best practices also helps manage unexpected data anomalies. By proactively troubleshooting and maintaining clear communication with stakeholders, specialists ensure data accuracy and project success.

Is a data analyst a well paid job?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with experience and certifications. Overall, data analysis is considered a well-paying profession within the tech and business sectors.
More about Data Extraction Specialist jobs
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Data Extraction Specialist jobs near you
Marketing Platforms Data Engineering

Marketing Platforms Data Engineering

Programmers.io

Cupertino, CA • On-site

Full-time

Posted 23 days ago

Job description

Description

As a Marketing Platforms Data Specialist, you will play a central role in enabling marketing teams to effectively use data for campaign execution, platform integrations, and decision-making. You will partner closely with Marketing Operations, Data Engineering teams to ensure data accuracy, project visibility and operational excellence across initiatives. This role combines strong data capabilities (SQL, validation, aggregation) with project coordination and marketing platform understanding. You will bridge teams and workflows, driving seamless project execution while ensuring data integrity and scalable, compliant systems.

Data & Audience Operations

    • Build and maintain aggregated datasets for marketing use cases.
    • Write SQL queries to extract, validate, and segment audiences for campaigns.
    • Perform data validation and ensure accuracy across systems and stakeholders.
    • Support data monitoring processes to proactively identify issues.

Project Tracking & Execution Support

    • Track day-to-day progress of marketing automation and data integration projects.
    • Coordinate testing, validation cycles, and stakeholder updates.
    • Maintain clear documentation, timelines, and status reporting across initiatives.

Marketing Platforms & Integrations

    • Support execution of marketing platform projects (automation, communications, integrations).
    • Work with cross-functional teams (Marketing, Engineering, Product) to ensure data flows correctly across systems.
    • Assist in improving operational workflows and reducing manual effort.

Demand Generation Support

    • Partner with Growth team to enable data-driven campaign execution for prospective customers.
    • Translate campaign requirements into data logic and audience definitions.

Privacy & Compliance

    • Ensure data handling aligns with GDPR and data retention policies.
    • Support validation and documentation required for Privacy reviews.

Minimum Qualifications

  • 5+ years in marketing operations, data operations, or similar roles.
  • Strong experience with Snowflake data platform, including complex SQL query writing, ETL/ELT pipeline development, and data modeling (table creation, optimization, and maintenance).
  • Strong SQL skills (audience creation, validation, data extraction).
  • Solid understanding of data structures and data quality processes.
  • Experience tracking projects and coordinating across multiple stakeholders.
  • High attention to detail, especially with data accuracy and validation.
  • Basic understanding of marketing automation platforms and workflows.

Preferred Qualifications

  • Familiarity with marketing data ecosystems.
  • Knowledge of data monitoring or QA frameworks.
  • Basic HTML, CSS, and JavaScript skills (email or web support).
  • Exposure to privacy/compliance processes in marketing environments.
  • Basic understanding of AI/ML concepts and their application in data workflows.