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Application Data Processor Jobs in Chicago, IL (NOW HIRING)

Excellent Analytical skills to understand the business process and Functionality, Gathering Requirements, application / data migration, data extraction, data load, reporting, application maintenance ...

Enterprise Architect

Chicago, IL

$71 - $91.75/hr

... Process: phone + F2F MUST HAVE: 10+ years IT implementation experience including: C#.Net Relational ... Application/Data Security Enterprise Content Management Mobility Solutions Application Platforms ...

GCP Data Architect

Chicago, IL

$65.75 - $84.50/hr

... application architecture for GCP. \n \n \n Act as a technical liaison between the customer, and ... processing algorithms (MapReduce, Flume) \n \n \n \n \n \n \n

Familiarity with enterprise data management processes, including data governance, master data management, and metadata management. * Working knowledge of application development frameworks, such as

Data Engineer

Chicago, IL

$118K - $141.80K/yr

Write efficient SQL queries, stored procedures, and functions to support application requirements * Create and optimize ETL processes for data migration between different database platforms

Database Engineer

Villa Park, IL ยท On-site

$89K - $114K/yr

Familiarity with enterprise data management processes, including data governance, master data management, and metadata management. * Working knowledge of application development frameworks, such as

Manager, Data Engineering PHM is the leading health media agency in the US, built for the modern ... If you require accommodation or assistance with the application or onboarding process specifically ...

... processes and requirements, analyze upstream and downstream application data dependencies, and prepare specified project documentation. Assists in business process redesign as needed. Maintains ...

Data Engineer

Chicago, IL

$118K - $141.80K/yr

Extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient programming processes. * Write ...

Drives the evolution of CNA application development processes and standards. * Applies machine ... Expert knowledge of data integration design and development, ensuring accuracy and ease of ...

Data Engineer

Chicago, IL ยท On-site

$118K - $141.80K/yr

Extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient programming processes. * Write ...

Using ML flow or similar application to create and serve up ML Models * Collaborate with cross ... Strong knowledge of ETL concepts and data processing workflows * Experience with ML libraries and ...

Sr. Data Engineer

Chicago, IL

$118K - $141.60K/yr

Adobe Customer Solutions is looking for a full time Data Engineer with experience in building data ... application process, email accommodations@adobe.com or call +1 408-536-3015. AI Use Guidelines for ...

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Application Data Processor information

See Chicago, IL salary details

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How much do application data processor jobs pay per hour?

As of Jun 2, 2026, the average hourly pay for application data processor in Chicago, IL is $18.48, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $20.05 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Application Data Processor, and why are they important?

To thrive as an Application Data Processor, you need strong attention to detail, data entry accuracy, and experience with data management, often supported by a relevant associate degree or equivalent work experience. Familiarity with database software, spreadsheets, and data processing tools like Microsoft Excel or specialized CRM systems is typically required. Excellent organizational skills, time management, and effective communication help professionals excel in this role. These skills ensure the reliable and efficient processing of large volumes of data, critical for maintaining data integrity and supporting business operations.

What are some common challenges faced by Application Data Processors and how can they be addressed?

Application Data Processors often encounter challenges such as handling large volumes of data with tight turnaround times, ensuring data accuracy, and adapting to evolving software systems. Staying organized and developing strong attention to detail can help minimize errors, while maintaining open communication with team members can clarify data discrepancies quickly. Familiarity with data processing tools and a willingness to learn new technologies are also important for adapting to workflow changes and maintaining productivity.

What are Application Data Processors?

Application Data Processors are professionals responsible for collecting, organizing, and managing data that is submitted through applications, such as job applications, loan applications, or software forms. They ensure that all data is accurately entered into databases, verify its integrity, and may also analyze the information to support business decisions. Their work typically involves using specialized software tools and following strict data privacy protocols to safeguard sensitive information. Application Data Processors play a crucial role in maintaining data quality and supporting efficient workflow within organizations.

What is the difference between Application Data Processor vs Data Entry Clerk?

AspectApplication Data ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may prefer certifications in data managementHigh school diploma or equivalent
Work EnvironmentOffice settings, often in finance, healthcare, or government sectorsOffice environments, performing repetitive data input tasks
Employer & Industry UsageUsed by organizations managing application data, such as banks or hospitalsCommon in administrative and clerical roles across various industries

The Application Data Processor focuses on managing and processing application-related data, often involving verification and validation tasks. In contrast, the Data Entry Clerk primarily inputs data into systems, emphasizing speed and accuracy. While both roles require attention to detail and similar credentials, their responsibilities and work environments differ, with Application Data Processors handling more specialized data related to applications.

What are popular job titles related to Application Data Processor jobs in Chicago, IL? For Application Data Processor jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Application Data Processor jobs in Chicago, IL look for? The top searched job categories for Application Data Processor jobs in Chicago, IL are:

Director I, IT Data Enterprise Architecture (Chicago)

ViziRecruiter,LLC.

Chicago, IL โ€ข On-site

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Introduction

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which also includes five leading omnichannel grocery brands โ€“ Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Ahold Delhaize USA associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.

Overview

This role is responsible for establishing the architectural vision, strategy, and IT roadmap for Ahold Delhaize USA. The focus is on ensuring technological consistency, optimizing costs, and enhancing productivity. By collaborating closely with business and IT leaders, the Director ensures that IT solutions align with business objectives, promoting a cohesive approach to achieving strategic goals.

The Enterprise Data Architect Director will visualize and design the enterprise data management framework that aligns with the enterprise strategy and business architecture. This role will harmonize, standardize, and streamline enterprise data architecture with a clear focus on data governance, data migration, data transformation and data enrichment, reference architectures, patterns, and decisionโ€‘making frameworks that guide architectural practices across the organization.

The Director operates with a high degree of autonomy while following a structured accountability framework. This role also entails influencing the organizationโ€™s architecture strategy and engaging with senior management to align governance and business objectives. Strong problemโ€‘solving skills and the capability to leverage both established and emerging technologies are essential for success in this position.

Responsibilities

Leadership:

  • Inspire and guide architecture, solution delivery, and IT service teams to develop a serviceโ€‘driven culture that fosters high productivity.
  • Establish a community of architectural excellence within Ahold Delhaize USA, embedding architectural thinking as a core way of working.
  • Actively challenge the status quo and propose solutions to enhance business performance and efficiency.

Professional Standards, Policies, and Ways of Working:

  • Contribute to the development and implementation of global standards, principles, and reference models for application, data, security, and infrastructure architecture.
  • Ensure compliance with architecture principles, monitoring key performance indicators (KPIs) across business domains.

IT Strategy and Roadmap:

  • Define and manage the IT strategy, roadmap, and transition plan in alignment with business and financial goals.
  • Translate business requirements into technology requirements including data streams, integrations, transformations, databases, and data warehouses.
  • Define data architecture framework, standards, principles, including modeling, metadata, security, reference data, and master data.
  • Visualize and design the organizationโ€™s enterprise data management framework.
  • Support the development of architecture roadmaps and facilitate the transition of IT landscapes toward target states.
  • Work with enterprise platform architects to ensure solutions align with the overall IT strategy and principles.

Risk, Compliance & Security:

  • Ensure that all architecture solutions comply with security, privacy, and regulatory requirements.
  • Embed compliance principles into architecture governance and the solution design process.

Innovation & New Technology:

  • Stay abreast of emerging technology trends and integrate them into the IT roadmap.
  • Lead the work with thirdโ€‘party vendors to align their innovation roadmaps with the organizationโ€™s strategy.

Enterprise Architecture Operation:

  • Support the transition from legacy systems to futureโ€‘state architecture, maximizing value and ensuring appropriate planning for decommissioning redundant solutions.
  • Maintain relationships with senior business leaders to ensure alignment of architecture decisions with business objectives.

Financial Management:

  • Align architectural decisions with financial budgets, ensuring that total cost of ownership (TCO) is controlled and minimized.
  • Ensure technical debt is managed, informing the software lifecycle process including Gartner TIME and 6Rs.
Requirements
  • Proven experience in enterprise architecture and governance.
  • Strong experience in defining Data Strategy and Data Architecture roadmap.
  • Strong experience in Enterprise Data Architecture, data platforms, data strategy consulting, or equivalent data management experience.
  • Experience with integrating SAP data into data platforms, data structure and deployment; including but not limited to the MDG.
  • Experience with cloudโ€‘based platforms like Azure Data Stack (Azure SQL, Data Factory, Analysis Services, Databricks, Azure DevOps, Azure EventHubs, etc.).
  • Experience developing data management systems including logical and physical data modeling, relational and data warehouse database design, and design and development of systemโ€‘wide metadata.
  • Experience working with structured, unstructured and/or semiโ€‘structured data and conducting analysis.
  • Experience with both relational and distributed database design and management in cloudโ€‘based environments.
  • Experience with designing logical and physical data models.
  • Strong communication and leadership skills with experience influencing departmental and senior business stakeholders.
  • Bachelorโ€™s or Masterโ€™s degree in computer science, Information Systems, or a related field.
  • TOGAF certification is a plus.

Preferred Qualifications:

  • MSc Computer Science/Information Management, Post graduate degree is preferred.
  • Experience in architecting a Data Mesh is preferred.
  • Experience with Data & SAP Integration.
  • Experience in defining or building Eventโ€‘Driven microservices architecture.
  • Agile Methodology and/or Scrum.
  • ArchiMate Modeling, BiZZdesign.
  • Experience with agentic AI, machine learning.
  • TOGAF certification is a plus.
  • 17+ years of relevant work experience; 3+ years leading teams and/or projects.

ME/NC/PA/SC Salary Range: $139,120 - $208,680

IL/MA/MD/NY Salary Range: $160,000 - $240,000

Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws.

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