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Data Processing Jobs in Wisconsin (NOW HIRING)

$120K - $144K/yr

Praktische Erfahrung beim Aufbau und im Betrieb von hochperformanten, gesetzeskonformen Data-Processing-Lösungen und Suchsystemen in verteilten Umgebungen (z.B. Data Lake, Data Mart) * Nachweisliche ...

Data Engineer (MedInsight)

Brookfield, WI · On-site +1

$93K - $177K/yr

Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance, scalability, reliability, and cost efficiency. * Design Data Models: Develop and maintain data marts ...

Data Engineer - Senior Manager

Milwaukee, WI · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

The analyst will act as the data and process subject matter expert for these business lines, helping ensure our asset-level and portfolio-level data is complete, clean, and ready for faster reporting ...

Junior Data Scientist

Milwaukee, WI · Hybrid

$68K - $93K/yr

Write clean, well-documented Python for data processing, modeling, and analysis * Work with SQL to query, transform, and validate data across multiple sources Support model monitoring, performance ...

... Processing/Analytics/Science, Artificial Intelligence and Robotics - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Senior Data Engineer

Menomonee Falls, WI

$106K - $144K/yr

Experience with Apache Spark (or equivalent) for large-scale data processing and performance optimization * Experience using Airflow/Cloud Composer/Dagster for orchestration, transformation and CI/CD ...

The analyst will act as the data and process subject matter expert for these business lines, helping ensure our asset-level and portfolio-level data is complete, clean, and ready for faster reporting ...

Data Engineer

Schofield, WI · On-site

$114K - $137K/yr

Description: We're seeking a motivated and detail oriented Data Engineer to join our growing ... processes, develop reporting and dashboard solutions, and support future AI and analytics ...

The analyst will act as the data and process subject matter expert for these business lines, helping ensure our asset-level and portfolio-level data is complete, clean, and ready for faster reporting ...

Prepare orders for our pet parents by confirming customer data; counting, compounding, filling and labeling medications; and packing orders * Ensure accuracy of patient information and records, and ...

Prepare orders for our pet parents by confirming customer data; counting, compounding, filling and labeling medications; and packing orders * Ensure accuracy of patient information and records, and ...

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Data Processing information

See Wisconsin salary details

$12

$20

$35

How much do data processing jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for data processing in Wisconsin is $20.46, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $22.55 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Processing position, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the typical daily responsibilities of someone working in Data Processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

Is a data processor a good job?

A data processing job involves organizing, inputting, and managing data using tools like spreadsheets and database software. It can offer steady employment and requires attention to detail, but may have repetitive tasks and limited advancement opportunities depending on the organization. Overall, it can be a suitable entry-level role for those interested in data management.

What is a Data Processing job?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

How can I make 2000 a week working from home?

Data processing jobs can pay varying rates depending on experience, complexity, and workload, with some freelancers earning $2000 or more weekly by taking on multiple projects or clients. To reach this income level, strong skills in data entry, analysis, or software tools are essential, along with efficient time management and possibly certification. Building a reliable client base and working consistently are key factors in achieving higher weekly earnings from home.

How much does data processing make?

Data processing jobs typically pay between $35,000 and $70,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with skills in data management and software tools can earn higher salaries.
What are the most commonly searched types of Data Processing jobs in Wisconsin? The most popular types of Data Processing jobs in Wisconsin are:
What are popular job titles related to Data Processing jobs in Wisconsin? For Data Processing jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Data Processing jobs? Cities in Wisconsin with the most Data Processing job openings:
Infographic showing various Data Processing job openings in Wisconsin as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,547 per year, or $20.5 per hour.

$120K - $144K/yr

Full-time

Posted 12 days ago


Job description

Als IT-Recruiting-Partner bei fĂĽhrenden Unternehmen in ganz Ă–sterreich ist smartpoint dataformers auf der Suche nach geeigneten Mitarbeiter:innen fĂĽr die oben genannte Rolle.

In deiner Mission blĂĽhst du auf, denn:
  • Du verantwortest die Migration, Modernisierung und Weiterentwicklung unternehmenskritischer, komplexer Datenverarbeitungs- und Datenintegrationslösungen (Migration klassischer DWH/ETL-Architekturen z.B. Ab Initio auf moderne Big-Data-Plattformen)
  • Du konzipierst und implementierst Lösungen fĂĽr die gesetzeskonforme Verarbeitung und Historisierung hochregulierter, besonders schĂĽtzenswerter Telekommunikationsdaten
  • Du analysierst, designst und betreibst hochkomplexe Schnittstellen zwischen Data-Produkten, Quellsystemen und Zielsystemen und entwickelst im Team die komplette Job- und Datenarchitektur basierend auf Technologien wie Apache Spark, Airflow, Kubernetes, Python, SQL, C und Unix Shell
  • Du entwickelst hochperformante Analyse- und Abfragesysteme im Umfeld von PySpark und sorgst fĂĽr einen stabilen, gesetzeskonformen Datenbetrieb
  • Du gestaltest, entwickelst und betreibst innovative ETL-Frameworks – einschlieĂźlich eigenentwickelter Airflow-Operatoren, ETL-Pipelines und Automatisierungs-Tools in Python, PySpark und Bash
  • Du bringst dich aktiv beim Aufbau und der Weiterentwicklung von CI/CD-Prozessen im Data Engineering ein und treibst die Integration moderner Entwicklungsprozesse (Testing, Git, Deployment)
  • Du nutzt agile Methoden im Projektmanagement und die dazugehörigen Werkzeuge (JIRA / Confluence), dokumentierst deine Konzepte und Umsetzung strukturiert und verständlich, und setzt dabei neue Standards in der Nachvollziehbarkeit
Deine Skills? Mehr als interessant:
  • Abgeschlossenes technisches Studium (Informatik, Mathematik, Data Science o.ä.) oder mehrjährige relevante Berufserfahrung im Big-Data/Data-Engineering-Umfeld
  • Tiefgehende Erfahrung mit modernen Datenverarbeitungs-Frameworks und Orchestrierung (Apache Spark, Apache Airflow, Kubernetes)
  • Sehr gute Programmierkenntnisse in Python, SQL, Unix Shell – weitere Kenntnisse (z.B. C) von Vorteil
  • Praktische Erfahrung beim Aufbau und im Betrieb von hochperformanten, gesetzeskonformen Data-Processing-Lösungen und Suchsystemen in verteilten Umgebungen (z.B. Data Lake, Data Mart)
  • Nachweisliche Erfahrung im Design und in der Umsetzung komplexer ETL-Prozesse inkl. Automatisierung und Performanceoptimierung
  • Solide Kenntnisse und praktische Anwendung von CI/CD, automatisiertem Testing und Versionsverwaltung (z.B. Git)
  • Erfahrung im agilen Projektmanagement, Dokumentation und Optimierung von Prozessen, idealerweise mit JIRA und Confluence
  • Deutsch und Englisch in Wort und Schrift
Du verdienst echten Mehrwert. Freu dich deshalb auf:
  • Hochspannende, herausfordernde Aufgaben an zentralen Datenprodukten im Telekommunikationsumfeld
  • Flexible Arbeitszeit und Homeoffice Möglichkeiten
  • Arbeiten in einem exzellenten, motivierten Team aus Data und Software-Engineers
  • Viel Raum fĂĽr Eigenverantwortung, Gestaltung und Innovation


Es wird ein Mindestbruttomonatsgehalt von € 5.000 EUR auf Vollzeitbasis geboten mit der Möglichkeit der Überbezahlung je nach Qualifikation und Erfahrung.
Wir freuen uns, wenn dich die ausgeschriebene Position anspricht und du uns deine Bewerbung übermittelst: wir stehen für Diskretion und Top-Betreuung! 

smartpoint ist als Teil der Bechtle Gruppe nicht nur der Spezialist für Microsoft Lösungen sondern auch für die Besetzung anspruchsvoller IT-Positionen bei führenden Unternehmen aller Branchen in ganz Österreich tätig.Wir freuen uns, wenn dich die ausgeschriebene Position anspricht und du uns deine Bewerbung übermittelst: wir stehen für Diskretion und Top-Betreuung!

Katharina Egger | Human Relations | karriere@smartpoint.atÂ