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Data Extraction Jobs in Columbus, OH (NOW HIRING)

OCLC, Inc.

Senior Data Scientist

Dublin, OH · On-site

Build and optimize end-to-end data pipelines, including data extraction, transformation, and feature engineering to support scalable ML solutions * Review, scale, and enhance operationalized ...

CFS

FP&A Consultant

Westerville, OH

$100K - $118K/yr

Utilize platforms such as Salesforce and NetSuite to extract, analyze, and model financial data * Support ongoing improvements to financial systems, reporting tools, and data processes Qualifications ...

Wade Trim

Survey Manager - #2826.34

Columbus, OH · On-site

Lead point cloud data extraction, processing, and deliverable development * Integrate LiDAR and 3D scanning workflows with client deliverables * Position Wade Trim as a technology leader in ...

Wade Trim

Survey Manager - #2826.34

Columbus, OH · On-site

Lead point cloud data extraction, processing, and deliverable development * Integrate LiDAR and 3D scanning workflows with client deliverables * Position Wade Trim as a technology leader in ...

Wade Trim

Survey Manager - #2826.34

Columbus, OH

Lead point cloud data extraction, processing, and deliverable development * Integrate LiDAR and 3D scanning workflows with client deliverables * Position Wade Trim as a technology leader in ...

Deloitte

AI and Data Science Engineer III

Columbus, OH · On-site

$110K - $132K/yr

... extraction, transformation, and analysis across relational databases. * 4+ years of demonstrated proficiency in Python or R for statistical modeling and data wrangling. * 4+ years of hands-on ...

Guidehouse

Technical Celonis Developer

Columbus, OH · On-site

$135K - $225K/yr

Perform ETL operations, troubleshoot data connections, and validate large datasets for accuracy and performance. * Optimize Celonis data models and ETL processes for performance and scalability.

APCO Holdings

Senior Data Developer

Westerville, OH

You'll develop reliable ETL pipelines, lead data modeling efforts, and create data stores and marts that power business intelligence. This role requires a strong understanding of organizational data ...

APCO Holdings

Senior Data Developer

Westerville, OH · On-site

You'll develop reliable ETL pipelines, lead data modeling efforts, and create data stores and marts that power business intelligence. This role requires a strong understanding of organizational data ...

Guidehouse

Technical Celonis Developer

Columbus, OH · On-site

$135K - $225K/yr

Perform ETL operations, troubleshoot data connections, and validate large datasets for accuracy and performance. * Optimize Celonis data models and ETL processes for performance and scalability.

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All JobsData Extraction JobsData Extraction Jobs in Columbus, OH

Data Extraction information

See Columbus, OH salary details

$11

$27

$66

How much do data extraction jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for data extraction in Columbus, OH is $27.01, according to ZipRecruiter salary data. Most workers in this role earn between $14.52 and $29.96 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.

What are the most commonly searched types of Data Extraction jobs in Columbus, OH? The most popular types of Data Extraction jobs in Columbus, OH are:
What are popular job titles related to Data Extraction jobs in Columbus, OH? For Data Extraction jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Data Extraction jobs in Columbus, OH look for? The top searched job categories for Data Extraction jobs in Columbus, OH are:
Data Extraction jobs near you
Senior Data Scientist

Senior Data Scientist

OCLC, Inc.

Dublin, OH • On-site

Full-time

Medical, Retirement

Posted 6 days ago

Job description

Together we make breakthroughs possible.
At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You'll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world.
Why join OCLC?
OCLC is consistently recognized as a best place to work by several independent programs. We recognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions-performance, experience, and skills-along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being.
  • We know the best ideas don't always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We're committed to your success-both personally and professionally. Hybrid work environment: For many roles, three days a week on-site, with occasional additional days based on business needs.
  • Free use of our on-site fitness center, gym sports, group exercise classes, and game room
  • Onsite catering and cafeteria subsidized by OCLC
  • Health and wellness events
  • Work environments with individual and team spaces and the latest technology tools
  • Paid parental leave and adoption assistance
  • Tuition reimbursement and Public Service Loan Forgiveness eligibility
  • Company-subsidized pricing on local tickets and memberships

Join us in transforming how people everywhere access information and be part of a mission-driven team that makes a global impact.
The job details are as follows:
As a Senior Data Scientist you will work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
Responsibilities:
  • Design, develop, and deploy advanced machine learning models and statistical algorithms to solve complex business problems and drive data-driven decision making across the organization
  • Conduct rigorous statistical analysis, validate hypotheses, and provide actionable insights to stakeholders
  • Build and optimize end-to-end data pipelines, including data extraction, transformation, and feature engineering to support scalable ML solutions
  • Review, scale, and enhance operationalized statistical and machine learning models and algorithms, and quantify improvements in terms of business efficiency or customer experience
  • Create repeatable processes and scalable data products by, for example, automating feedback loops for production statistical or machine learning models
  • Perform exploratory data analysis on large-scale datasets to uncover patterns, trends, and opportunities for innovation
  • Implement MLOps best practices, including model versioning and monitoring to ensure reliable model performance in production.
  • Mentor junior data scientists and contribute to the development of team capabilities through code reviews, knowledge sharing, and best practice documentation
  • Influence functional teams to develop best practices across the organization
  • Identify areas of opportunity for data science to effect change and drive strategic business impact
  • Maintain engagement with the data science community and current industry developments to assist in driving technical data science team vision and strategy

Requirements:
  • Master's Degree in a quantitative field (Mathematics, Computer Science, or Statistics or related quantitative fields) and 5+ years professional experience in a data science role or PhD in a quantitative field and 2+ years professional experience in a data science, machine learning, or related analytical role
  • Deep understanding of machine learning algorithms, statistical modeling techniques, and their practical applications, along with extensive experience using ML frameworks and libraries such as scikit-learn, TensorFlow, or similar tools.
  • Strong SQL skills and experience working with large-scale data warehousing platforms, particularly Snowflake
  • Expert proficiency in a scripting language such as Python, including Python data libraries (numpy, pandas, matplotlib, scikit-learn) and strong programming skills in Java or similar languages
  • Intermediate proficiency in a low-level or performant language
  • Expert proficiency in working within a cloud computing environment using software development best practices
  • Hands-on experience with cloud platforms (AWS and/or Azure) including services for data storage, processing, and model deployment
  • Proven track record of deploying machine learning models to production environments and measuring their business impact
  • Experience automating production-quality statistical or machine learning models at scale with expert understanding of their underlying mathematical and statistical theory
  • Experience with version control (Git), containerization (Docker), and CI/CD practices
  • Experience and expertise solving complex and highly impactful quantitative business problems
  • Self-starting attitude; ability to spearhead new data science initiatives and collaboration across functional teams
  • Demonstrates excellent communication skills with ability to explain statistic and mathematical concepts to non-experts

Working Conditions: Normal office environment.
ADA/EAA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.

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