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Data Extraction Jobs in Ohio (NOW HIRING)

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

Requirements Qualifications and Skills- Required: * 3+ years managing data / ETL development, experience must include C#, GitHub (or similar), Azure DevOps, CI/CD Pipeline development. * 3+ years ...

Requirements Qualifications and Skills- Required: * 3+ years managing data / ETL development, experience must include C#, GitHub (or similar), Azure DevOps, CI/CD Pipeline development. * 3+ years ...

Programming & Data Extraction: Expertise in Python and/or R. Strong SQL proficiency is mandatory; candidates must be able to read data models, write efficient queries, and independently extract data ...

Programming & Data Extraction: Expertise in Python and/or R. Strong SQL proficiency is mandatory; candidates must be able to read data models, write efficient queries, and independently extract data ...

Showing results 21-40

Data Extraction information

See Ohio salary details

$10

$25

$63

How much do data extraction jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data extraction in Ohio is $25.76, according to ZipRecruiter salary data. Most workers in this role earn between $13.84 and $28.57 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 cities in Ohio are hiring for Data Extraction jobs?

Cities in Ohio with the most Data Extraction job openings:

Infographic showing various Data Extraction job openings in Ohio as of August 2026, with employment types broken down into 65% Full Time, and 35% Contract. Highlights an 100% In-person job distribution, with an average salary of $53,580 per year, or $25.8 per hour.

Federal - Air Force Financial Database SME

Lodestarcs

Dayton, OH • On-site

$110 - $150/hr

Other

Posted 3 days ago

New


Key responsibilities

  • Design and maintain database architectures to support extraction, storage, and analysis of financial data from Sub-Ledger and General Ledger systems

  • Develop data models and tools to enable reconciliation, traceability, and auditability of financial transactions

  • Build automated or semi-automated comparison tools and design queries to identify discrepancies, variances, and anomalies


Job description

Lodestar Consulting is currently seeking a full-time Financial Database Subject Matter Expert (SME) to join our team in support of the Air Force. We are a fast-growing small business (named to Inc5000's list of fast growing private companies in America multiple years in a row and Best Places to Work for consecutive years, seeking dynamic thinkers and outstanding communicators who want to thrive in an entrepreneurial environment and grow with Lodestar Consulting Inc.

We focus on hiring and developing top talent to provide superior support to our clients, and to grow and develop our team for long-term repeatable success. Our team members are experienced, professional, enthusiastic, and able to quickly apply their skills to diverse situations to ensure our client’s needs are met. If you love to solve problems, assist clients in emerging technologies, or simply drive meaningful change for clients, there’s a place for you at Lodestar Consulting!

This role will be responsible for designing and implementing database solutions that enable accurate data extraction, transformation, and comparison between Sub-Ledger and General Ledger (GL) systems. This role supports detailed audit research and analysis by developing reliable, repeatable comparison tools and data structures that facilitate reconciliation, root-cause analysis, and audit remediation This role shall involve, but is not limited to:

Responsibilities:
  • Design and maintain database architectures to support extraction, storage, and analysis of financial data from Sub-Ledger and General Ledger systems
  • Develop data models that enable efficient reconciliation, traceability, and auditability of financial transactions
  • Ensure database designs support scalability, performance, and data integrity
  • Develop and optimize data extraction processes from source systems, including sub-ledgers and general ledger environments
  • Perform data transformation and normalization to enable accurate cross-system comparisons
  • Ensure extracted data aligns with accounting structures, chart of accounts, and reporting requirements
  • Build automated or semi-automated tools to compare sub-ledger and general ledger data
  • Design queries, views, and scripts to identify discrepancies, variances, and anomalies
  • Enable drill-down capabilities to trace discrepancies to source transactions
  • Implement data validation and reconciliation controls to ensure accuracy and completeness of extracted data
  • Develop technical documentation describing database structures, extraction logic, data assumptions, mappings, transformation logic, and comparison methodologies
  • Support testing and validation of comparison tools to confirm audit reliability
  • Support auditors and financial analysts by providing data extracts, comparison outputs, and technical explanations
Requirements:
  • 5+ years of relevant designing and managing databases in support of financial or audit-related analytics
  • Strong proficiency in SQL and database architecture principles
  • Experience extracting, transforming, and reconciling data across multiple systems
  • Familiarity with financial systems, Sub-Ledgers, and General Ledger structures
Desired Skills:
  • Experience working in regulated or audited financial environments
  • Experience supporting financial audits or audit-readiness initiatives
  • Experience supporting large enterprise financial systems (e.g., ERP environments, DEAMS)
  • Experience working in regulated, secure, Department of Defense or other federal agency environments
  • Detailed familiarity with AF Lines of Accounting and financial data elements
  • Knowledge of accounting principles related to Sub-Ledger and General Ledger integration
  • Familiarity with the following systems/software and terminology preferred
    • Access Online (AXOL)
    • Advana
    • Central Disbursing System (CDS)
    • Commander's Resource Integration System (CRIS)
    • Defense Cash Management System (DCMS)
    • Defense Enterprise Accounting Management System (DEAMS)
    • Deployable Disbursing System (DDS)
    • Defense Transaction Interface Module (DTIM)
    • Financial Management Suite (FMSuite); FRC module
    • General Accounting and Finance System Base Level (GAFS-BL)
    • General Accounting and Finance System Re-Engineered (GAFS-R)
    • Integrated Accounts Payable System (IAPS)
    • Intra-governmental Payment and Collection (IPAC)
    • Mechanization of Contract Administration System (MOCAS)
    • Procurement Integrated Enterprise Environment (PIEE)
    • Reserve Travel System (RTS)
    • Standard Base Supply System (SBSS)
    • Wide Area Work Flow (WAWF)
Education:
  • Bachelor's Degree in Computer Science, Information Technology, Computer Engineering or related IT discipline; or equivalent experience
Security Clearance:
  • Must have an Active DoD Secret Security Clearance (requires U.S. Citizenship).

The expected total compensation range for this position is between $110,000 and $150,000. This range is representative of base pay only and does not include, company contributions towards paid benefits, and/or bonuses. Actual compensation (meeting or exceeding the range) will be determined based on specific experience, education, work location, clearance level, and other factors permitted by law. This position is eligible for bonuses (when applicable).

Travel and relocation expenses may be considered based on the appropriate candidate.

EEO Notice

Applicants have rights under Federal Employment Laws

Work location is subject to change based on client requirements.

Lodestar Consulting, Inc. is an Equal Opportunity Employer and will consider all qualified applicants without regard to race, color, national origin, ethnicity, ancestry, genetic information, religion, sex, gender, gender identity, sexual orientation, marital status, pregnancy, childbirth, any medical condition related to pregnancy or childbirth, age, disability, protected veteran status, relationship or association to a protected veteran, or any other characteristic protected by local, state or federal laws, rules or regulation.

If you would like to request a reasonable accommodation, regarding accessibility of our website, a modification or adjustment of the job application or interview process due to a disability, please call 614-783-8999 or email accommodations@lodestarcs.com. Please be advised that this contact information is for accommodation requests only and cannot be used to inquire about the status of an application.

Family and Medical Leave Act (FMLA)

FMLA is designed to help employees balance their work and family responsibilities by allowing them to take reasonable unpaid leave for certain family and medical reasons. Lodestar Consulting, Inc. provides eligible employees with up to 12 weeks of unpaid, job-protected leave per year. Military family leave is available for up to 26 weeks under FMLA.

Employee Polygraph Protection Act (EPPA)

The EPPA prohibits most private employers from using lie detector tests either for pre-employment screening or during the course of employment.Lodestar Consulting, Inc. adheres all provisions of the EPPA.

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