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Data Scanning Jobs in Park Ridge, IL (NOW HIRING)

Fitch Group

Principal Data Engineer (New York)

Chicago, IL · On-site

$118K - $141K/yr

... and security scanning. * Collaborate with cross-functional teams-including Data Scientists ... Analytics teams, and business stakeholders-to translate requirements into scalable technical ...

ZoomLogi

Founding Data Scientist

Chicago, IL · On-site

$180K - $240K/yr

You'll refine the models that scan that picture for risk and flag issues before they cascade ... The data and feature infrastructure. A model is only as good as what feeds it. You'll own the ...

Hasana, Inc.

Data Entry Intern/Volunteer

Chicago, IL

$15.50 - $20.50/hr

The Database Coordinator will scan and import data files. The Database Coordinator will work with the Research and Development Director on this project. Description of Duties / Responsibilities: Job ...

ADB

*Travel Splicing Supervisor, Data Center*

Chicago, IL · On-site

$172K/yr

... pair scanners * Expert installation and cabling of secondary DC power equipment, including ... data center buildout experience required * 2+ years of CO (central office) buildout/frame ...

Sidley Austin LLP

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

... scanning, and monitoring * Contribute to the maintenance and improvement of data governance ... practices, helping to ensure data integrity, accessibility, and compliance with regulations such as ...

Sidley

Senior Data Engineer

Chicago, IL · Hybrid

$109K - $148K/yr

... scanning, and monitoring * Contribute to the maintenance and improvement of data governance ... practices, helping to ensure data integrity, accessibility, and compliance with regulations such as ...

Prominence Advisors

Data Governance Advisor

Chicago, IL · Remote

Scanning data stores, ETL and analytic tools * Develop application interface via APIs * Create advanced traceability and lineage * Provide production support * Troubleshoot and resolve system issues ...

Sidley Austin LLP

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

... scanning, and monitoring * Contribute to the maintenance and improvement of data governance ... practices, helping to ensure data integrity, accessibility, and compliance with regulations such as ...

Sidley

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

... scanning, and monitoring * Contribute to the maintenance and improvement of data governance ... practices, helping to ensure data integrity, accessibility, and compliance with regulations such as ...

Prominence Advisors

Data Governance Advisor

Chicago, IL · On-site +1

Scanning data stores, ETL and analytic tools * Develop application interface via APIs * Create advanced traceability and lineage * Provide production support * Troubleshoot and resolve system issues ...

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All JobsData Scanning JobsData Scanning Jobs in Park Ridge, IL

Data Scanning information

What is a data scanning associate job description?

A data scanning associate is responsible for reviewing, digitizing, and organizing physical or digital documents to ensure accurate data entry and storage. They often use scanning equipment and data management software, working in environments that require attention to detail and adherence to confidentiality standards.

What is the highest paying data entry job?

The highest paying data entry jobs typically involve specialized roles such as medical or legal transcription, data management, or roles requiring advanced skills in software like Excel or database systems. These positions often offer higher salaries due to increased complexity, accuracy requirements, and experience levels, with some professionals earning over $50,000 annually.

Do online data entry jobs really pay?

Online data entry jobs, including data scanning roles, typically pay hourly or per project rates, with wages varying based on experience, skill level, and the complexity of tasks. While some positions offer legitimate pay, others may be low-paying or scams, so it is important to research the employer and review reviews before committing. Reliable data entry jobs often require basic computer skills and attention to detail.

What is data scanning?

Data scanning is the process of systematically reviewing and analyzing large sets of data to identify, extract, or verify specific information. This can involve using automated tools to search databases, documents, or digital storage for patterns, errors, or sensitive data. Data scanning is commonly used for data management, compliance, and security purposes, helping organizations ensure data accuracy and protect confidential information.

What is the difference between Data Scanning vs Data Entry?

AspectData ScanningData Entry
Required SkillsUse of scanning devices, OCR technology, basic computer skillsTyping, data input, attention to detail
Work EnvironmentWarehouse, office, or remote with scanning equipmentOffice or remote computer setup
Common CertificationsNone typically required, but OCR or scanning device training helpfulTyping speed certifications, data entry courses
Employer & Industry UsageLogistics, healthcare, retail, manufacturingAdministrative, finance, healthcare, retail

Data Scanning involves using scanning devices and OCR technology to convert physical documents into digital formats, often in logistics or healthcare settings. Data Entry focuses on manually inputting data into systems, common in administrative and office environments. While both roles require attention to detail, Data Scanning emphasizes technical device operation, whereas Data Entry centers on manual typing skills.

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 jobs typically do not require upfront payments, ask for sensitive personal information early, or promise unusually high pay for minimal work. Be cautious of jobs with vague descriptions, unrealistic promises, or those that lack clear application processes.

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

To thrive as a Data Scanning Specialist, you need attention to detail, basic computer literacy, and familiarity with document management practices, often supported by a high school diploma or equivalent. Proficiency with scanning hardware, document imaging software, and digital archiving systems is typically required. Strong organizational skills, reliability, and the ability to maintain data confidentiality make someone stand out in this position. These skills and qualities are crucial to ensure accurate digitization, secure data handling, and efficient workflow within organizations.

What are some common challenges faced by professionals in Data Scanning roles, and how can they be addressed?

Data Scanning professionals often encounter challenges such as handling large volumes of documents, ensuring high accuracy in digitization, and maintaining the confidentiality of sensitive information. To address these, it's important to develop strong attention to detail, follow established scanning protocols, and utilize quality control checks. Working closely with IT and data management teams also helps ensure that digital files are properly organized and securely stored, which supports efficient retrieval and compliance with data privacy standards.
What job categories do people searching Data Scanning jobs in Park Ridge, IL look for? The top searched job categories for Data Scanning jobs in Park Ridge, IL are:
What cities near Park Ridge, IL are hiring for Data Scanning jobs? Cities near Park Ridge, IL with the most Data Scanning job openings:
Data Scanning jobs near you
Principal Data Engineer (New York)

Principal Data Engineer (New York)

Fitch Group

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Retirement

Posted 24 days ago

Job description

Fitch Group is currently seeking a Lead/Principal Data Engineer based out of our New York office.
As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group's culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world's top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst.
Fitch's Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we're home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a "Best Place to Work in Technology" 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference.
Want to learn more about a career in technology and data at Fitch?
Visit: https://careers.fitch.group/content/Technology-and-Data/
How You'll Make an Impact:
  • Lead the design and architecture of end-to-end data pipelines and solutions on modern cloud-based platforms, including Snowflake, Databricks, and AWS.
  • Lead the design and architecture of end-to-end data pipelines and solutions on platforms including Java, Springboot, Docker/Kubernetes, Snowflake, Databricks, and AWS.
  • Design and implement data solutions using PostgreSQL for relational data and MongoDB for NoSQL requirements, ensuring optimal performance and scalability.
  • Architect and deploy containerized data applications using Docker, Kubernetes, and AWS EKS, incorporating GitHub Actions for automated deployments.
  • Design and implement CI/CD pipelines using GitHub Actions, establish branching strategies, and ensure automated testing, code quality checks, and security scanning.
  • Collaborate with cross-functional teams-including Data Scientists, Analytics teams, and business stakeholders-to translate requirements into scalable technical solutions.
  • Mentor and guide data engineers by promoting technical excellence, establishing coding standards, and conducting architecture reviews.
  • Drive data platform modernization initiatives and ensure data quality, reliability, and governance across all data systems.
  • Design and implement AI-enhanced data pipelines that leverage LLMs and Agentic AI frameworks to automate data quality checks, anomaly detection, and intelligent data transformation workflows.
  • Architect data infrastructure to support AI/ML workloads, including feature stores, vector databases, and real-time inference pipelines integrated with cloud-native services.
  • Leverage established standards and best practices to integrate AI agents into data engineering workflows, including context management protocols (MCP) for seamless AI-to-data-platform communication.

You May Be a Good Fit If:
  • You have 8+ years of data engineering experience, including 3+ years in a lead role architecting large-scale data platforms.
  • Expert-level proficiency in Java, Springboot for building cloud-native data processing solutions running on Docker/Kubernetes.
  • Deep hands-on experience with Apache Airflow, Snowflake (data warehousing, modeling, optimization), and Databricks.
  • Strong AWS expertise including S3, Lambda, Glue, EMR, Kinesis, EKS, RDS etc.
  • Production database experience with PostgreSQL (design, optimization, replication) and MongoDB (document modeling, sharding, replica sets).
  • You have proven CI/CD and GitOps experience using GitHub, GitHub Actions, and ArgoCD for automated deployments and multi-environment management.
  • You are proficient with agile tools such as JIRA for sprint management and Confluence for technical documentation and knowledge sharing.
  • You have excellent analytical, problem-solving, and communication skills, with the ability to explain complex concepts to non-technical stakeholders and drive initiatives in complex environments.
  • You have working knowledge of AI/ML frameworks (LangChain, LlamaIndex, AutoGen, etc.) and understand how Agentic AI can enhance data engineering workflows through automated data validation, intelligent orchestration, and self-healing pipelines.
  • You have practical understanding of AI integration patterns in data platforms, including prompt engineering, RAG architectures, and vector database implementations.
  • You are familiar with Model Context Protocol (MCP) or similar frameworks for enabling AI agents to interact securely and efficiently with data sources, APIs, and tools.
  • You have experience with AI-powered development tools such as GitHub Copilot and Amazon Q.

What Would Make You Stand Out:
  • Experience with code quality metrics and shift-left principles.
  • Experience testing container resiliency (Docker/Kubernetes).
  • Experience designing large end-to-end performance scenarios.
  • Experience building large and high-performing data pipelines.
  • Exposure to Playwright and BDD for automated testing.
  • Exposure to the financial industry and data platforms (data warehouses, data lakes).
  • Experience with modern data stack tools, data mesh/fabric architectures, and streaming platforms (Kafka, Kinesis).
  • Proficiency with observability tools (Datadog) and data quality/governance frameworks.
  • Understanding of data security and compliance standards (GDPR, SOC 2, CCPA) and contributions to open-source data projects.
  • Relevant certifications (AWS Data Analytics/Solutions Architect, Databricks/Snowflake Data Engineer, CKA).
  • Hands-on experience building production Agentic AI systems that operate on data platforms, including multi-agent orchestration and intelligent pipeline optimization.
  • Deep expertise with Model Context Protocol (MCP) implementation, including building custom MCP servers or integration patterns for enterprise data platforms.

Why Choose Fitch:
  • Hybrid Work Environment: On-site presence required two days per week.
  • A Culture of Learning & Mobility: Access to dedicated training, leadership development, and mentorship programs to support continuous learning.
  • Investing in Your Future: Retirement planning and tuition reimbursement programs to help you meet your short- and long-term goals.
  • Promoting Health & Wellbeing: Comprehensive healthcare offerings that support physical, mental, financial, social, and occupational wellbeing.
  • Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance work and family life.
  • Inclusive Work Environment: A collaborative workplace where all voices are valued, supported by Employee Resource Groups that unite and empower colleagues worldwide.
  • Dedication to Giving Back: Paid volunteer days, matched donation programs, and ample opportunities to volunteer in your community.

Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch's credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.
Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluatequalified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
For NEW YORK roles only: Expected base pay for this role ranges from $140,000 to $160,000 per year. Actual compensation will depend on factors such as education, training, experience, past performance, and other job-related considerations. Base pay is one component of Fitch's total compensation package, which may also include commissions, discretionary bonuses, long-term incentives, and other benefits.

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