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Cloud Data Engineer Entry Level Jobs in Milwaukee, WI

Design, review, and create content on Cloud platforms, cloud architecture, DevOps, cloud data engineering, and related topics. You will review content from a learner perspective, ensuring it is ...

Design, review, and create content on Cloud platforms, cloud architecture, DevOps, cloud data engineering, and related topics. You will review content from a learner perspective, ensuring it is ...

Design, review, and create content on Cloud platforms, cloud architecture, DevOps, cloud data engineering, and related topics. You will review content from a learner perspective, ensuring it is ...

Design, review, and create content on Cloud platforms, cloud architecture, DevOps, cloud data engineering, and related topics. You will review content from a learner perspective, ensuring it is ...

Data Engineer

Milwaukee, WI · On-site +1

$112K - $135K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ... on cloud technologies. This is a remote position with periodic on-site presence required.

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

OverviewThe Junior Data Engineer supports the design, development, and maintenance of data ... to cloud platforms (AWS, Azure, or GCP)Familiarity with ETL tools or orchestration frameworks ...

... Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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.

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.

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 ...

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 ...

... reinvention through cloud, data, and artificial intelligence. With more than141,000 cloud ... Minimum8yrs experience in Software Engineering, Electrical Engineering, IT, or equivalent (Ifan ...

New

Collaborate with engineering teams to build scalable data solutions across cloud, data warehouse, and ETL ecosystems. * Analyze large and complex datasets to identify business trends, operational ...

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Cloud Data Engineer Entry Level information

See Milwaukee, WI salary details

$23

$61

$85

How much do cloud data engineer entry level jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for cloud data engineer entry level in Milwaukee, WI is $61.96, according to ZipRecruiter salary data. Most workers in this role earn between $52.84 and $70.58 per hour, depending on experience, location, and employer.

What does a cloud data engineer entry level do?

A Cloud Data Engineer Entry Level is responsible for assisting in the design, development, and management of data infrastructure on cloud platforms such as AWS, Azure, or Google Cloud. They help build and maintain pipelines that move and transform data, ensuring it is accessible and secure for analysis. Entry-level cloud data engineers often work under the supervision of senior engineers, contributing to data integration, storage solutions, and performance optimization tasks while learning industry best practices.

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

To thrive as an Entry Level Cloud Data Engineer, you need a solid understanding of data structures, basic programming (often in Python or SQL), and foundational knowledge of cloud platforms such as AWS, Azure, or Google Cloud, typically supported by a related degree or certification. Experience with cloud-based data warehousing tools (like Amazon Redshift or BigQuery), ETL processes, and data pipeline orchestration systems is highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and solve data-related challenges. These skills and qualities are crucial for efficiently building, managing, and optimizing cloud data solutions that support business analytics and decision-making.

What types of projects and tasks can an entry level cloud data engineer expect to work on during their first year?

As an entry-level Cloud Data Engineer, you can expect to work on foundational tasks such as building and maintaining data pipelines, assisting with cloud platform migrations, and supporting data integration efforts. You'll often collaborate with senior engineers and data analysts to ensure data is properly ingested, transformed, and stored in cloud environments like AWS, Azure, or Google Cloud. Common challenges include learning to troubleshoot data flow issues and adapting to various cloud tools and services. Over time, you'll gain exposure to automation, scripting, and optimizing data workflows, which are essential for career growth in this field.

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

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

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

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

Infographic showing various Cloud Data Engineer Entry Level job openings in Milwaukee, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,872 per year, or $62 per hour.

Curriculum Manager - Cloud

DataCamp

Belgium, WI

Full-time

Re-posted 26 days ago


Job description

Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors.

In this role, you'll combine deep cloud expertise, technical breadth, and a passion for great didactic experiences to build the next generation of cloud education at DataCamp.

About the role

This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation across cloud platforms (AWS, Azure, GCP) and cloud-adjacent topics such as DevOps, infrastructure-as-code, MLOps, and cloud data engineering. Here's what your day-to-day will look like:

  • Manage the entire content development lifecycle and deadlines.
  • Source and recruit top-tier subject-matter experts as instructors.
  • Collaborate with instructors to create engaging content.
  • Consistently leverage AI tools like Claude Code, Cursor, and more to drive high-quality content production at scale.
  • Design, review, and create content on Cloud platforms, cloud architecture, DevOps, cloud data engineering, and related topics. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective.
  • Continuously assess course performance using learner feedback and engagement data to drive improvements.
  • Identify and prioritize existing curriculum gaps or new topics in DataCamp's cloud curriculum.

We're excited about you because you have the following

  • A solid hands-on background working with one or more major cloud platforms (AWS, Azure, or GCP). Relevant cloud certifications (e.g. AWS Solutions Architect, Google Professional Cloud Architect, Azure Administrator) are a strong plus.
  • Broad cloud fluency spanning infrastructure, storage, compute, networking, and managed services, with additional depth in at least one area such as cloud data engineering, MLOps, serverless, or DevOps/IaC.
  • A solid technical background in Python and/or SQL, with comfort working in cloud-native tooling and CLI environments.
  • Intuitive understanding of instructional design, with proven ability to structure and teach technical concepts clearly.
  • Graduate degree (Master's or PhD) in Computer Science, Cloud Computing, Software Engineering, or a related STEM field-or equivalent industry experience.
  • Strong experience with agentic coding systems such as Claude Code, Cursor, and Replit. You consider yourself a sophisticated user of these tools.

Bonus if you have the following

  • A deep understanding of the DataCamp course format-you have an intuitive understanding of what makes a great DataCamp course.
  • An existing network of potential subject matter experts who can become DataCamp instructors.
  • An extensive track record of building sophisticated AI systems and workflows. 

If you don't meet all the requirements but are excited about the role and believe your background makes you a strong fit, we encourage you to apply.