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Entry Level Aws Data Engineer Jobs in Milwaukee, WI

KOHLS

Systems Engineer (Remote)

Menomonee Falls, WI · On-site

Build and maintain data pipelines, APIs, and discovery patterns (e.g., ServiceNow Discovery, SCCM ... Experience translating major publisher licensing rules (e.g., Microsoft, Oracle, IBM, AWS) into ...

ATI

Machining Engineer (Entry Level)

Cudahy, WI

We are currently hiring an Entry-Level Machining Engineer at our Cudahy, WI location. As a ... Collect and analyze process data and evaluate simulation results to make engineering assessments.

ATI

Machining Engineer (Entry Level)

Cudahy, WI · On-site

We are currently hiring an Entry-Level Machining Engineer at our Cudahy, WI location. As a ... Collect and analyze process data and evaluate simulation results to make engineering assessments.

Generac

Data Science Analyst

Waukesha, WI · On-site

... programming languages. *This is not a remote role, the ideal candidate will need to be located in ... Experience on using the cloud platform (ex Azure, AWS..) * Experience with building agents using ...

langan

Civil Engineer - Entry Level

Milwaukee, WI · On-site

Effectively use reports, maps, drawings, engineering plans, test and aerial photographs to assess soil composition, terrain, hydrological characteristics and topographical and geologic data and their ...

langan

Civil Engineer - Entry Level

Milwaukee, WI

Effectively use reports, maps, drawings, engineering plans, test and aerial photographs to assess soil composition, terrain, hydrological characteristics and topographical and geologic data and their ...

Directsupply

AI Engineer

Milwaukee, WI · On-site

Docker, Terraform, and AWS Minimum Qualifications * 2+ years insoftware engineeringor applied AI ... Degree in Computer Science, Engineering, Data Science, or a related field * Experience operating AI ...

Direct Supply, Inc.

AI Engineer

Milwaukee, WI · On-site

Docker, Terraform, and AWS Minimum Qualifications * 2+ years in software engineering or applied AI ... Degree in Computer Science, Engineering, Data Science, or a related field * Experience operating AI ...

Direct Supply, Inc.

AI Engineer

Milwaukee, WI · On-site

$90 - $120/hr

Docker, Terraform, and AWS Minimum Qualifications * 2+ years in software engineering or applied AI ... Degree in Computer Science, Engineering, Data Science, or a related field * Experience operating AI ...

TERRACON

Entry Level Labratory Technician

Cudahy, WI · On-site

$18.50 - $22.25/hr

Communicate with project manager, engineering technicians, client representative, contractor ... Tabulate, prepare, and submit data and observation in the form of written and digital reports as ...

TERRACON

Entry Level Labratory Technician

Cudahy, WI

$18.50 - $22.25/hr

Communicate with project manager, engineering technicians, client representative, contractor ... Tabulate, prepare, and submit data and observation in the form of written and digital reports as ...

Fiserv, Inc.

Database Engineer III

Milwaukee, WI · On-site

Solve and troubleshoot complex database schemas and data warehouse issues. Conduct maintenance ... and AWS tenants. TRAVEL: None TO APPLY: Select "Apply" on this page and follow the prompts to ...

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All JobsAws Data Engineer JobsEntry Level Aws Data Engineer JobsEntry Level Aws Data Engineer Jobs in Milwaukee, WI

Entry Level Aws Data Engineer information

See Milwaukee, WI salary details

$43.8K

$127.8K

$174.9K

How much do entry level aws data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for entry level aws data engineer in Milwaukee, WI is $127,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $135,500.00 per year, depending on experience, location, and employer.

What does an entry level AWS data engineer do?

An Entry Level AWS Data Engineer is responsible for helping to design, build, and maintain data pipelines and infrastructure in Amazon Web Services (AWS) environments. They work with data storage tools like Amazon S3, databases such as Amazon RDS or Redshift, and data processing services like AWS Glue or EMR. Their role often involves data extraction, transformation, and loading (ETL), ensuring data is accessible and usable for analytics and business needs. They typically collaborate with data scientists, analysts, and senior engineers while following best practices for cloud security and scalability.

What are the key skills and qualifications needed to thrive as an entry level AWS data engineer?

To thrive as an Entry Level AWS Data Engineer, you need a solid understanding of data structures, SQL, Python or similar programming languages, and a basic grasp of cloud computing concepts, ideally supported by a relevant degree or coursework. Familiarity with AWS services such as S3, Redshift, Glue, and data visualization or ETL tools, along with certifications like AWS Certified Data Analytics – Specialty, is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills help you stand out in collaborative, fast-paced environments. These skills and qualifications are crucial for building scalable data solutions, ensuring data quality, and enabling data-driven decision-making for organizations using AWS.

What are some typical projects an entry level AWS data engineer might work on?

As an Entry Level AWS Data Engineer, you may be involved in projects such as building data pipelines, automating data ingestion, or assisting in the migration of on-premises data to AWS cloud services. These projects typically require collaboration with data analysts, senior engineers, and sometimes business stakeholders to ensure that clean, well-structured data is available for reporting and analytics. Your contributions help streamline data flows, improve data quality, and support the team’s ability to make data-driven decisions, providing a strong foundation for future growth and responsibilities.

What is the difference between Entry Level Aws Data Engineer vs Data Analyst?

AspectEntry Level Aws Data EngineerData Analyst
Required CredentialsBasic AWS certifications, SQL, PythonExcel, SQL, basic data visualization tools
Work EnvironmentCloud platforms, data pipelines, ETL processesData interpretation, reporting, dashboards
Industry UsageTech, finance, healthcare with cloud infrastructureBusiness, marketing, finance sectors

While both roles involve working with data, Entry Level Aws Data Engineers focus on building and maintaining cloud-based data pipelines using AWS tools, whereas Data Analysts interpret data and create reports to support business decisions. The roles often overlap in skills like SQL and basic scripting, but differ in their core responsibilities and work environments.

What are the most commonly searched types of Aws Data Engineer jobs in Milwaukee, WI?

The most popular types of Aws Data Engineer jobs in Milwaukee, WI are:

What are popular job titles related to Entry Level Aws Data Engineer jobs in Milwaukee, WI?

For Entry Level Aws Data Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Entry Level Aws Data Engineer jobs in Milwaukee, WI look for?

The top searched job categories for Entry Level Aws Data Engineer jobs in Milwaukee, WI are:

Entry Level Aws Data Engineer jobs near you
Infographic showing various Entry Level Aws Data Engineer job openings in Milwaukee, WI as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $127,802 per year, or $61.4 per hour.

Systems Engineer (Remote)

KOHLS

Menomonee Falls, WI • On-site

Other

Re-posted 11 days ago

Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,466 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores

Job description

About the Role

As Systems Engineer, you will design, develop and maintain robust systems and services within a dynamic and complex computing environment. You will utilize both cloud-based and on-prem tools to deliver scalable, reliable and secure solutions. 

What You’ll Do

  • Implement software engineering best practices and ensure system performance and security 

  • Collaborate with cross-functional teams to drive innovation and continuous improvement

  • Develop, implement and support systems and services to ensure robust and reliable operations

  • Execute project tasks for systems and applications, focusing on optimizing efficiency and functionality

  • Manage upgrades, migrations, optimizations and new implementations and resolve efficiency issues

  • Write scripts, templates, interfaces and utility applications to improve functionality and automate processes

  • Develop, test, troubleshoot and document new and enhanced systems and processes

  • Provide level three support for areas of expertise

  • Additional tasks may be assigned

Addendum

Software Asset Management

  • Design, configure, and script custom workflows, enhancements, and data models within ServiceNow SAM Pro/Enterprise to translate business requirements into scalable platform solutions

  • Build and maintain data pipelines, APIs, and discovery patterns (e.g., ServiceNow Discovery, SCCM, Jamf) to ensure seamless, real-time tracking of the entire software asset lifecycle

  • Engineer automated reconciliation frameworks and entitlement schemas to manage complex vendor licensing models (e.g., core-based, cloud capacity, SaaS), proactively driving audits and cost-optimization

  • Establish strict ITAM data governance and build advanced compliance dashboards, custom reports, and KPIs utilizing ServiceNow reporting and Performance Analytics

  • Strong background in ServiceNow scripting (JavaScript), REST/SOAP APIs, SQL, and system integrations, backed by a Certified System Administrator (CSA) credential

  • Experience translating major publisher licensing rules (e.g., Microsoft, Oracle, IBM, AWS) into technical platform logic; a Certified Implementation Specialist – Software Asset Management (CIS-SAM)


What Skills You Have

Required

  • Experience with infrastructure/systems lifecycle methodology and scripting as appropriate for area of expertise

  • 2+ years of experience in systems engineering

  • Bachelor's degree or equivalent in MIS, Computer Science or related field

Preferred

  • Familiarity with cloud platforms such as GCP, AWS or Azure

  • Understanding of software engineering practices, including CI/CD and automation

  • Knowledge of security best practices for system operations

  • Strong analytical and problem-solving skills

  • Effective communication and teamwork abilities

  • Passion for continuous learning and staying updated with emerging technologies

What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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