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Data Processing Services Jobs in Madison, IL (NOW HIRING)

... processing, and storage - Developing and deploying scalable data storage solutions using AWS, Azure and GCP services - Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data ...

Data Architect - Azure and Big Data

Saint Louis, MO · On-site +1

$61.75 - $80.50/hr

Design and Build Azure Data services including ADF, ADL, AMM, ADLS, ADW, Power BI, AML, ABS, and ... processing/data storage/data distribution systems particularly in Azure * Most recent 2+ years of ...

Showing results 41-60

Data Processing Services information

See Madison, IL salary details

$11

$19

$33

How much do data processing services jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data processing services in Madison, IL is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $15.34 and $21.30 per hour, depending on experience, location, and employer.

What is the difference between Data Processing Services vs Data Analysts?

AspectData Processing ServicesData Analysts
Primary RoleHandling data entry, cleaning, and preparation for analysisInterpreting data, generating insights, and creating reports
Required SkillsData management, basic software proficiency, attention to detailStatistical analysis, data visualization, critical thinking
Work EnvironmentData centers, offices, remote data teamsOffices, research teams, business units
CertificationsData management certifications, basic IT skillsData analysis certifications, statistical tools proficiency

Data Processing Services focus on preparing and managing raw data, while Data Analysts interpret this data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

What are career opportunities in data processing services?

Careers in data processing services include roles such as data analyst, data entry clerk, database administrator, and data processing technician. These positions often require skills in data management, familiarity with software tools like Excel or SQL, and attention to detail. Opportunities exist across industries such as finance, healthcare, and technology, with some roles requiring certifications or training in data management systems.

What does a data processing services job do?

A data processing services job involves collecting, organizing, and analyzing data to ensure accuracy and usability. It often requires skills in data entry, database management, and familiarity with tools like Excel or specialized software, with attention to detail and data security being important aspects.

What is a data processing service?

A data processing service involves collecting, organizing, and converting raw data into meaningful information for analysis or decision-making. Data processing professionals often use tools like databases, spreadsheets, and programming languages to perform tasks such as data entry, validation, and transformation, ensuring data accuracy and integrity.

What cities near Madison, IL are hiring for Data Processing Services jobs?

Cities near Madison, IL with the most Data Processing Services job openings:

Data Engineer | Entry Position | Shiloh IL with Security Clearance

Silverthorne Advisory Group, LLC

Shiloh, IL • On-site

$106K - $128K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

Silverthorne Advisory Group is seeking a skilled and highly motivated Data Engineer to join an exciting and growing opportunity within the Defense sector. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our client's cloud and data infrastructure and systems. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. Responsibilities: - Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks. - Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing. - Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets. - Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency. - Troubleshoot data-related problems and provide innovative solutions to address complex data challenges. - Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices. - Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures. - Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes. - Maintain documentation for software applications, workflows, and processes. - Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement. Required Skills - U.S. citizenship with an active Secret clearance (we can sponsor). - Strong SQL knowledge: Ability to write, troubleshoot, and modify complex SQL procedures and queries across a variety of datasets. - Business Intelligence experience: Creating and updating applications, reports, dashboards, etc. Cognos Analytics, Qlik Sense, and Power BI especially are relevant to the role. - Python and Coding experience: Hands-on experience with languages/technologies such as Python, Spark, Scala, JavaScript/JSON, and SQL. Desired Skills - Databricks experience: Familiarity with Databricks, Amazon AWS/S3, Jupyter Notebooks will be helpful in the role. - Strong problem-solving skills and ability to solve complex data-related issues. - Demonstrated experience working with large datasets and leveraging big data technologies to process and analyze data efficiently. - Understanding of data modeling/visualization, database design principles, and data governance practices. - Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. - Detail-oriented mindset with a commitment to delivering high-quality results. - Teradata experience is a plus. Knowledge of Multiloads, BTEQs, and other assorted Teradata procedures will be helpful in the role. - Extract, Transform, Load (ETL) experience: Experience with establishing and maintaining data load processes as well as manipulating and combining various data sources. Additional Details - Compensation - We carefully consider a wide range of compensation factors, including but not limited to prior experience, skills, expertise, location, and other considerations permitted by law. - Healthcare - We offer Health, Vision, and Dental Plans for our employees and their families. - Retirement Plan - We invest in your future with a competitive 401(k) plan, where we match 100% of your contributions up to your first 6% and give you access to Vanguard Admiral funds. - Paid Time Off - Based on length of service, we offer a generous amount of paid leave. - Bonus System - As you invest in us, we invest in you. We offer bonuses to all employees who meet and exceed goals throughout the year. - Professional Development - Support for career growth through training programs and certifications. - Company Retreats & Team Events - Sponsored trips, team-building activities, and annual conferences related to your skillset.