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Data Capture Solutions Jobs (NOW HIRING)

GRM Document Management

Collection Specialist

Miami Gardens, FL · On-site

$16.75 - $22.75/hr

Serving a diverse base of industries such as healthcare, government, legal, finance and human resources, GRM delivers its clients services such as digital conversion, advanced data capture solutions ...

GRM Document Management

Collection Specialist

Hialeah, FL · On-site

$16.75 - $22.75/hr

Serving a diverse base of industries such as healthcare, government, legal, finance and human resources, GRM delivers its clients services such as digital conversion, advanced data capture solutions ...

M Management Inc

Collections Specialist

Indianapolis, IN · On-site

$17 - $22.75/hr

Serving a diverse base of industries such as healthcare, government, legal, finance and human resources, GRM delivers its clients services such as digital conversion, advanced data capture solutions ...

NAVA Software Solutions

Sr Data Architect

Indianapolis, IN · On-site

$64.25 - $86/hr

NAVA Software solutions is looking for a Sr Data Architect Details: Sr Data Architect Location ... data capture, slowly changing dimensions, etc.), with an eye toward delivering functional and ...

TransRe

Reinsurance Data Analyst

New York, NY · Hybrid

$100K - $140K/yr

This role will design and build solutions to improve efficiency and consistency across underwriting processes, data capture workflows, and reporting architecture, while supporting portfolio ...

Richemont

Client Data & Insights Analyst

New York, NY · On-site

$30 - $34/hr

... data capture and Cartier Care KPI objectives. * Help to identify, analyze, interpret and present ... Partner with senior manager to recommend solutions and insights that influence client loyalty ...

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All JobsData Capture Solutions Jobs

Data Capture Solutions information

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$46K

$165K

$243.5K

How much do data capture solutions jobs pay per year?

As of Jun 11, 2026, the average yearly pay for data capture solutions in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Capture Solutions Specialist, and why are they important?

To thrive as a Data Capture Solutions Specialist, you need a solid understanding of data management, workflow automation, and experience with data capture platforms, often complemented by a degree in information technology or a related field. Familiarity with tools like OCR software, document management systems, and integration platforms such as Kofax, ABBYY, or OpenText is typically required. Strong analytical skills, problem-solving abilities, and effective communication are essential soft skills to excel in client interactions and solution implementation. These competencies ensure accurate data processing, seamless integration, and high-quality service delivery in environments where efficient information handling is critical.

What are some common challenges faced by professionals working in Data Capture Solutions, and how can they be addressed?

Professionals in Data Capture Solutions often encounter challenges related to data accuracy, integration with existing systems, and managing large volumes of unstructured data. Addressing these issues typically involves implementing robust validation processes, collaborating closely with IT and operations teams to ensure seamless integration, and staying updated on the latest automation and AI technologies. Continuous training and clear communication within cross-functional teams can help mitigate errors and streamline workflows, making it easier to deliver high-quality data solutions to clients.

What are data capture solutions?

Data capture solutions are technologies and processes used to collect, digitize, and organize information from various sources, such as paper documents, forms, barcodes, or digital inputs. These solutions help businesses streamline data entry, reduce errors, and improve workflow efficiency by automatically extracting and processing data. Common data capture methods include scanning, optical character recognition (OCR), mobile capture, and online forms. Implementing data capture solutions can significantly enhance data accuracy and speed up business operations.

What is the difference between Data Capture Solutions vs Data Entry Specialist?

AspectData Capture SolutionsData Entry Specialist
CredentialsTypically requires technical skills, familiarity with data capture tools, and sometimes certifications in data management or ITUsually requires basic computer skills, typing speed, and sometimes certification in office administration
Work EnvironmentOften involves working with scanning devices, OCR software, and data management systems in office or data centersPrimarily performs data input tasks in office settings, using spreadsheets and databases
Industry UsageUsed across industries like finance, healthcare, and logistics for automating data collectionCommon in administrative, clerical, and customer service roles

Data Capture Solutions focus on automating and optimizing data collection processes using specialized tools and software, while Data Entry Specialists manually input data into systems. Both roles are essential but serve different functions within data management workflows.

More about Data Capture Solutions jobs
What cities are hiring for Data Capture Solutions jobs? Cities with the most Data Capture Solutions job openings:
What states have the most Data Capture Solutions jobs? States with the most job openings for Data Capture Solutions jobs include:
What job categories do people searching Data Capture Solutions jobs look for? The top searched job categories for Data Capture Solutions jobs are:
Data Capture Solutions jobs near you
Infographic showing various Data Capture Solutions job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 1% Part Time, and 6% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Engineer - IAM

Leading Utilities Organization

Kings Mills, OH

$107K - $129K/yr

Other

Posted 3 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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