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Data Digitizer Jobs (NOW HIRING)

ASM

Data & Digital Solutions Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data & Digital Solutions Engineer - Field Operations We are looking for a Data & Digital Solutions Engineer to join our growing Global Spares and Services organization. In this role, you will play a ...

ASM

Data & Digital Solutions Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data & Digital Solutions Engineer - Field Operations We are looking for a Data & Digital Solutions Engineer to join our growing Global Spares and Services organization. In this role, you will play a ...

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Data Digitizer information

What is the difference between Data Digitizer vs Data Entry Clerk?

AspectData DigitizerData Entry Clerk
Required SkillsAttention to detail, basic technical skills, familiarity with image or document processingTyping speed, accuracy, basic computer skills
Work EnvironmentOften involves working with scanned images, PDFs, or digital formsPrimarily office-based, entering data into databases or spreadsheets
Common TasksConverting physical or scanned data into digital formatsInputting data from paper or digital sources into systems
CertificationsNone typically required, but technical skills can be beneficialNone typically required

While both roles involve handling data, Data Digitizers focus on converting physical or scanned data into digital formats, requiring technical skills related to image processing. Data Entry Clerks primarily input data into systems, emphasizing speed and accuracy. Understanding these differences helps in choosing the right career path or job search focus.

What is the highest paying job in data?

In data-related fields, roles such as Data Science Managers, Data Architects, and Machine Learning Engineers tend to have the highest salaries due to their advanced skills and responsibilities. These positions often require expertise in programming, statistical analysis, and experience with big data tools, and they typically offer six-figure compensation packages.

What are some common challenges faced by Data Digitizers, and how can they be effectively managed?

Data Digitizers often encounter challenges such as handling large volumes of information, ensuring high accuracy while minimizing errors, and adapting to various data formats or sources. Managing these challenges requires strong attention to detail, proficiency with data entry tools, and effective time management. Collaborating closely with quality assurance teams and maintaining clear communication with supervisors can also help address data inconsistencies and improve efficiency.

What is a digitizer job?

A digitizer job involves converting physical drawings, maps, or images into digital formats using specialized software and tools. The role requires attention to detail, accuracy, and often familiarity with CAD or GIS software, depending on the industry. Digitizers typically work in office environments with standard schedules and may need technical training or certifications.

How to identify fake data entry jobs?

To identify fake data entry jobs, verify the company's legitimacy by researching its website and contact information. Genuine roles typically do not require upfront payments, ask for sensitive personal data early, or promise unusually high pay for minimal work. Be cautious of jobs with vague descriptions, unrealistic promises, or those that lack clear contact details.

What jobs make $1,000,000 a year?

In the field of data digitization, high earnings typically come from specialized roles such as data consultants, freelance data experts, or entrepreneurs who develop proprietary data processing tools. These positions often require advanced skills, extensive experience, and sometimes business ownership or consulting contracts to reach such income levels.

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

To thrive as a Data Digitizer, you need keen attention to detail, accuracy, and fast typing skills, often supported by a high school diploma or equivalent. Familiarity with data entry software, spreadsheets like Microsoft Excel, and sometimes OCR (Optical Character Recognition) tools is typically required. Strong organizational skills, time management, and the ability to focus on repetitive tasks are important soft skills for this role. These skills ensure large volumes of information are digitized accurately and efficiently, supporting reliable data management for organizations.

What is a Data Digitizer?

A Data Digitizer is a professional responsible for converting information from physical formats, such as paper documents, handwritten notes, or printed materials, into digital formats. This process typically involves using specialized software and equipment to scan, input, and organize data for easier access, storage, and analysis. Data Digitizers play a crucial role in helping organizations transition to digital systems, improve data accuracy, and enhance workflow efficiency. They may also be responsible for verifying the accuracy of the digitized data and maintaining data security throughout the process.
More about Data Digitizer jobs
What cities are hiring for Data Digitizer jobs? Cities with the most Data Digitizer job openings:
What job categories do people searching Data Digitizer jobs look for? The top searched job categories for Data Digitizer jobs are:
Data Digitizer jobs near you
Infographic showing various Data Digitizer job openings in the United States as of June 2026, with employment types broken down into 25% As Needed, and 75% Contract. Highlights an 100% Remote job distribution.
Data & Digital Solutions Engineer

Data & Digital Solutions Engineer

ASM

Phoenix, AZ • On-site

$113K - $136K/yr

Other

Posted 24 days ago

Job description

Data & Digital Solutions Engineer - Field Operations

We are looking for a Data & Digital Solutions Engineer to join our growing Global Spares and Services organization. In this role, you will play a critical part in enabling Field Service teams with the data, knowledge, and digital tools needed to improve service efficiency, drive first-time-right outcomes, and reduce equipment installation and maintenance cycle times at customer sites.

This is a highly cross-functional role at the intersection of data engineering, application development, and operational enablement, ideal for someone who enjoys solving real-world problems by integrating systems and building impactful solutions.

Key Responsibilities

  • Build and manage data pipelines that integrate data from enterprise systems, vendor sources, and operational environments to support analytics and business insights
  • Develop internal digital applications and tools that streamline and digitize installation, maintenance, and service workflows
  • Enable analytics use cases by structuring and modeling data for reporting, dashboards, and operational decision-making
  • Consolidate and deliver knowledge from multiple sources into user-friendly tools and applications for field teams
  • Collaborate with cross-functional teams (Engineering, Service, IT, Product) to deliver scalable, high-impact solutions
  • Enhance user experience and usability of tools used by field engineers, focusing on simplicity, reliability, and efficiency
  • Partner with IT and platform teams to ensure integration, deployment, and ongoing support of solutions

Minimum Qualifications 

  • Bachelor's degree in computer science, Software Engineering, or a related field
  • 2+ years of professional industry experience
  • Experience in data integration / data engineering (ETL/ELT, APIs, SQL/NoSQL)
  • Strong programming skills in Python (required); experience with modern C++ is a plus
  • Experience with mobile / handheld devices and web application development
  • Experience building internal tools, applications, or automation solutions
  • Experience with cloud platforms (Azure / AWS)
  • Solid understanding of data modeling and working with multiple data sources
  • Ability to work across systems (e.g., enterprise applications, APIs, files, operational data)
  • Strong problem-solving skills and ability to operate in a cross-functional environment

Preferred Qualifications (Nice-to-Have)

  • Exposure to AI/ML or GenAI-enabled applications
  • Experience building engineering tools, diagnostic interfaces, or HMIs (e.g., Python frameworks, LabVIEW)
  • Familiarity with knowledge management systems or search platforms
  • Exposure to BI tools and dashboarding (e.g., Power BI, Tableau)

What Makes This Role Unique

  • Direct impact on field operations and customer outcomes
  • Opportunity to work across data, applications, and real-world engineering systems
  • High visibility with multiple business functions
  • Ability to shape and scale digital capabilities in a growing organization

Note: Position is not eligible for immigration sponsorship

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