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Data Capture Jobs in Ohio (NOW HIRING)

Rockwood

UAS Drone Pilot II

Hamilton, OH · On-site

The role involves executing flight missions to capture high-quality imagery and video data of poles, towers, conductors, and related components to support asset condition assessments. You will ...

Battelle

Data Scientist I

Columbus, OH · On-site

Provide consultation and assistance to supported units and POTFF staff to identify opportunities and methods for effective data capture * Prepare reports and presentations that clearly communicate ...

Acuren

UAS Drone Pilot II

Cincinnati, OH · On-site

The role involves executing flight missions to capture high-quality imagery and video data of poles, towers, conductors, and related components to support asset condition assessments. You will ...

AtkinsRéalis

Construction Data Manager

New Albany, OH · On-site

Capture contractor-reported issues, constraints, and support needs by Primavera P6 Activity ID and ... Support the translation of field-captured data into Power BI dashboards used by Client leadership ...

RIT Solutions

Snowflake Data Engineer

Columbus, OH · Hybrid

$107K - $128K/yr

Experience in building data pipelines using Talend and automation of data ingestion including change data capture (CDC). * Integration of data pipelines with source control repository and build CI/CD ...

Credence

Capture Director- Dayton, OH

Dayton, OH · On-site

Lead Data-Driven Capture Strategy * Build and manage a structured capture pipeline based on quantitative research, market intelligence, federal databases, and industry trends. * Analyze PWS/SOW/RFP ...

Credence

Capture Director- Dayton, OH

Dayton, OH · On-site

Lead Data-Driven Capture Strategy * Build and manage a structured capture pipeline based on quantitative research, market intelligence, federal databases, and industry trends. * Analyze PWS/SOW/RFP ...

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All JobsData Capture JobsData Capture Jobs in Ohio

Data Capture information

See Ohio salary details

$5

$25

$54

How much do data capture jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data capture in Ohio is $25.65, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $40.91 per hour, depending on experience, location, and employer.

What are some typical challenges faced by Data Capture professionals, and how are they addressed?

Data Capture professionals often encounter challenges such as handling large volumes of information, maintaining accuracy under tight deadlines, and adapting to frequent updates in data formats or software systems. To address these challenges, companies provide thorough training, maintain clear data entry protocols, and sometimes implement automated quality checks to help ensure data integrity. Collaboration with IT and data management teams is common, allowing Data Capture specialists to resolve any technical issues quickly. By staying organized, communicating effectively, and using available tools, professionals in this role can consistently meet performance expectations and maintain high data quality.

What is a Data Capture job?

A Data Capture job involves collecting, inputting, and managing data from various sources into digital systems. This role ensures accuracy, completeness, and organization of data for business use. Responsibilities may include data entry, verification, and quality control. Data Capture professionals work with databases, spreadsheets, or specialized software to maintain records efficiently. Attention to detail and strong typing skills are essential for success in this role.

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

To thrive as a Data Capture professional, you need strong attention to detail, fast and accurate data entry skills, and a high school diploma or equivalent educational background. Familiarity with data management software such as Microsoft Excel, Google Sheets, or specialized database platforms is often required, and some employers may prefer experience with document scanning tools or OCR technology. Reliability, organization, and the ability to maintain confidentiality are standout soft skills in this position. These capabilities ensure the integrity and accuracy of collected data, which supports informed business decisions and operational efficiency.

What are the most commonly searched types of Data Capture jobs in Ohio? The most popular types of Data Capture jobs in Ohio are:
What are popular job titles related to Data Capture jobs in Ohio? For Data Capture jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Capture jobs in Ohio look for? The top searched job categories for Data Capture jobs in Ohio are:
Data Capture jobs near you
Infographic showing various Data Capture job openings in Ohio as of June 2026, with employment types broken down into 52% Full Time, 25% Part Time, and 23% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $53,343 per year, or $25.6 per hour.

Data Engineer - IAM

Leading Utilities Organization

Kings Mills, OH

$107K - $129K/yr

Other

Posted 4 days ago

Job description

Data Engineer – IAM Data Lake (Google Cloud Platform)

Location: Irving, TX (Preferred) or Ohio (Hybrid) Duration: 12 Month Contract W2 ONLY, NO C2C

Overview

We are seeking a skilled Data Engineer to support the design, development, and enhancement of an enterprise IAM Data Lake platform within Google Cloud Platform (GCP).

This role will focus on building scalable data lake solutions, developing data ingestion pipelines, and supporting large-scale data processing initiatives using modern cloud and big data technologies. The ideal candidate will have hands-on experience with Google Cloud Platform, data lake architectures, big data processing frameworks, and Hadoop-based environments.

Experience with Hadoop/HDFS and cloud-native data engineering solutions is highly desirable.

Key Responsibilities
  • Design, build, and maintain scalable Data Lake solutions within Google Cloud Platform (GCP).
  • Develop and support batch and streaming data ingestion pipelines using GCP-native services and big data technologies.
  • Build and optimize data processing workflows to support enterprise-scale analytics and reporting requirements.
  • Design and implement data models, ingestion frameworks, and data transformation processes.
  • Develop and maintain PySpark-based data processing applications.
  • Utilize Apache Airflow to orchestrate and manage complex data workflows.
  • Implement and maintain CI/CD pipelines to support automated deployment and delivery of data engineering solutions.
  • Design and manage Pub/Sub-based streaming architectures and event-driven data processing workflows.
  • Support event schema design, schema evolution, and versioning best practices.
  • Implement incremental data ingestion strategies and Change Data Capture (CDC) patterns.
  • Develop APIs and integration solutions to support data consumption and data-sharing requirements.
  • Create and maintain curated datasets, analytical views, and data exposure layers for downstream consumers.
  • Collaborate with architecture, engineering, security, and business teams to ensure data solutions align with enterprise standards.
Required Qualifications
  • 4+ years of experience working with Google Cloud Platform (GCP).
  • 4+ years of experience building and supporting large-scale data processing solutions.
  • 4+ years of experience with PySpark and distributed data processing.
  • 4+ years of experience implementing CI/CD practices and deployment automation.
  • 2+ years of experience building and maintaining data pipelines.
  • 2+ years of experience with Apache Airflow.
  • Experience developing and integrating APIs.
  • Experience working with data lake architectures and cloud-based storage solutions.
  • Understanding of data modeling concepts and best practices.
  • Strong understanding of data processing frameworks and big data technologies.
Preferred Qualifications
  • Experience with Hadoop Ecosystem technologies and HDFS.
  • Experience designing and implementing streaming architectures using Google Pub/Sub.
  • Familiarity with Change Data Capture (CDC) methodologies and incremental ingestion frameworks.
  • Experience building enterprise-scale IAM or security-related data platforms.
  • Knowledge of data governance, lifecycle management, and access control best practices within GCP.
  • Experience supporting analytical data platforms and data consumption frameworks.
Technical Skills Cloud & Data Platforms
  • Google Cloud Platform (GCP)
  • Google Cloud Storage (GCS)
  • Pub/Sub
  • Data Lake Architecture
Data Engineering & Processing
  • PySpark
  • Apache Airflow
  • Data Pipelines
  • Data Processing
  • Data Modeling
  • Change Data Capture (CDC)
Big Data Technologies
  • Hadoop Ecosystem
  • HDFS
Data Formats
  • Parquet
  • Avro
  • ORC
Development & Automation
  • APIs
  • CI/CD Pipelines
  • Version Control
  • Automation Frameworks

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