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Data Extraction Jobs in Ohio (NOW HIRING)

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 ...

Data Solutions Engineer

Cincinnati, OH · On-site

$91K - $156K/yr

Build and optimize data pipelines to support data extraction, transformation, and loading (ETL) processes using technologies such as Databricks, Snowflake, and Informatica IDMC. Develop automation ...

Data Solutions Engineer

Cincinnati, OH · On-site +1

$91K - $156K/yr

Build and optimize data pipelines to support data extraction, transformation, and loading (ETL) processes using technologies such as Databricks, Snowflake, and Informatica IDMC. Develop automation ...

... for data extraction, transformation, and analysis Proven ability to independently scope ambiguous problems and deliver end-to-end solutions Experience identifying and implementing process ...

Monitor extraction processes, record operational data, and report results to supervisory staff * Prepare biomass and other materials for extraction, ensuring proper labeling, batch tracking, and ...

I have an opportunity for "ETL Data Analyst - Cincinnati, OH (Remote till COVID)" and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume ...

Monitor extraction processes, record operational data, and report results to supervisory staff * Prepare biomass and other materials for extraction, ensuring proper labeling, batch tracking, and ...

The Senior FP&A Analyst will utilize Salesforce, NetSuite, and other internal systems for data extraction, modeling, and reporting * Improve efficiency and effectiveness of reporting tools and ...

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Data Extraction information

See Ohio salary details

$10

$25

$63

How much do data extraction jobs pay per hour?

As of Jun 10, 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 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 Ohio? The most popular types of Data Extraction jobs in Ohio are:
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 June 2026, with employment types broken down into 3% As Needed, 48% Full Time, 40% Part Time, and 9% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $53,580 per year, or $25.8 per hour.

Data Engineer II

ALLOBAAS

Lakewood, OH • On-site, Remote

Other

Posted 22 days ago


Job description

Description

Position Summary:

The Data Engineer II will play a vital role in our Data transformation journey - helping move the organization toward a future state where decision-makers have the right data, in real time, when they need it. This role is responsible for driving the execution of key data projects, including data management, data conversions, ongoing ingestion pipelines, and data platform engineering and operations. The ideal candidate will work across systems and teams to ensure data flows seamlessly, reliably, and securely throughout the enterprise, supporting both strategic initiatives and day-to-day operations.

Duties and Responsibilities:

  1. Develop an understanding of our current data landscape
  2. Administer and optimize Snowflake and other data platforms to ensure performance and alignment with business goals including role/permission management performance tuning, cost optimization, and capacity planning. 
  3. Manage operations of the Data Warehouse, Middleware/Azure Enterprise Service Bus (ESB), Cognos, and related analytics tools.
  4. Provide secondary support for Data Integration & Platform Engineering responsibilities, including assisting with system maintenance, data pipeline operations, and platform enhancements.
  5. Stay informed on emerging data technologies and trends, sharing insights to help identify opportunities for innovation and improved data use.
  6. Help implement scalable and efficient data solutions that improve business insights and operational performance.
  7. Collaborate with IT and business stakeholders to support data access, usability, and consistency across departments.
  8. Participate in the integration of new tools and systems, ensuring seamless functionality and data accuracy.
  9. Provide advanced support by resolving escalated issues from Data Engineer I, ensuring timely and effective resolution of complex technical challenges.
  10. Contribute to a collaborative, high-performing team culture by supporting peers and sharing knowledge.
  11. Enforce data governance policies, ensuring data is secure, consistent, and compliant with regulations.
  12. Support efforts to meet financial regulations and cybersecurity standards in all data-related systems.
  13. Administrator and/or deliver configuration requests in our Azure ESB environment to Banking Core System through APIs.
  14. Design and develop pipelines for additional data vendors
  15. Recommend, implement and maintain best practices for the environment
  16. Ability to illustrate and maintain the enterprise's data systems architecture 
  17. Complies with all applicable banking laws and regulations, including, but not limited to the Bank Secrecy Act, USA Patriot Act, and related anti-money laundering statutes, and federal consumer protection legislation and regulations. Builds working knowledge of all applicable laws and regulations.
  18. Other duties as assigned

The duties outlined above are a summary and may not be an exhaustive or comprehensive list of all possible responsibilities, tasks, and duties. All job descriptions may be amended at any time at the sole discretion of First Mutual Holding Company.


Requirements

Qualifications and Skills- Required:

  1. 3+ years managing data / ETL development, experience must include C#, GitHub (or similar), Azure DevOps, CI/CD Pipeline development.
  2. 3+ years hands on in analyzing, designing which involve Data pre-processing , Data Extraction , Data Ingestion , Data Quality ,Data Normalization/Anonymizing & Data Loading
  3. 3 + years data analysis, Ad hoc reports, and visualization; Cognos, Tableau
  4. 3+ years data migration and validation projects 
  5. 3+ years of Snowflake Management  
  6. 3+ years implementation and support of on-prem and cloud DBs  
  7. 3+ years' experience with system process mapping

  Additional Qualifications and Skills- Preferred:

  1. Prior work within the financial industry.
  2. Lean/Six Sigma
  3. Process analysis and design
  4. Systems architecture

Necessary competencies:

  1. Critical thinking
  2. Accountability 
  3. Initiative
  4. Creativity 
  5. Adaptable
  6. Communication
  7. Organizational Skills
  8. Resourcefulness
  9. Interpersonal Awareness
  10. Decisiveness 

Physical Environment:

  • This position is performed in a corporate office (Lakewood, OH), hybrid, or remote setting:
  1. If fully remote: must be willing to travel
  • This position will require the ability to work flexible days/times including occasionally working beyond normal business hours on an "as needed" basis.
  • While performing the duties of this job, the employee is regularly required to lift, walk, stand, sit, bend, reach with hands and arms, climb, push/pull, use hands, and see, hear and speak.
  • The employee must occasionally lift and/or move up to 25 pounds.
  • The noise level in the work environment is usually quiet to moderate.

First Mutual Holding Co. and First Federal Lakewood is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.