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Associate Data Engineer Jobs in Milwaukee, WI (NOW HIRING)

The Principal Data & AI Architect will be responsible for designing, developing, and implementing ... Azure AI Engineer Associate. Work Experience Experience with generative AI and reinforcement ...

Associate Electrical Engineer Location: Milwaukee, WI Schedule: Primarily 1st Shift with Some ... Conduct field investigations, gather equipment data, and document findings. * Prepare for ...

... life cycle, engineering, and sourcing teams while learning about part process flows and part ... Qualifications: - Candidates need to have either an Associates or Bachelors degree Sandra Taylor ...

Senior Director DevOps

Milwaukee, WI · On-site

$128K - $164K/yr

Maintain and support the on-prem DataHub multi-petabyte data lake. Lead the team to automate ... Current associates who require a workplace accommodation should refer to Fiserv's Disability ...

Manufacturing Engineer

Milwaukee, WI · On-site

$69K - $89K/yr

... data acquisition. * Responsible for continuous improvement activities. * Develops training systems and support documentation for associates. * Collaborates with new product development engineers ...

Manufacturing Engineer

Brown Deer, WI · On-site

$69K - $89K/yr

... data acquisition. * Responsible for continuous improvement activities. * Develops training systems and support documentation for associates. * Collaborates with new product development engineers ...

Showing results 41-60

Associate Data Engineer information

See Milwaukee, WI salary details

$9

$18

$30

How much do associate data engineer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for associate data engineer in Milwaukee, WI is $18.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $19.66 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

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

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

What are popular job titles related to Associate Data Engineer jobs in Milwaukee, WI?

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

What cities near Milwaukee, WI are hiring for Associate Data Engineer jobs?

Cities near Milwaukee, WI with the most Associate Data Engineer job openings:

Infographic showing various Associate Data Engineer job openings in Milwaukee, WI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $38,399 per year, or $18.5 per hour.

Principal Data & AI Architect

Waukesha, WI • On-site

$150 - $200/hr

Other

Posted 15 days ago


Job description

We believe power is a promise - a shared commitment to be there for others when it matters most. For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future. Ready to Power a Smarter World with us?

The Principal Data & AI Architect will be responsible for designing, developing, and implementing advanced Data & AI solutions and architectures that align with the company’s strategic goals and objectives. This role requires deep technical expertise, leadership, and the ability to collaborate across cross-functional teams to deliver scalable and innovative AI solutions.

Major Responsibilities :

Lead the design and development of Data & AI architectures, including designing and architecting Enterprise data/MDM solutions, machine learning models, deep learning frameworks, and generative AI systems. Responsible for analyzing, implementing and deploying these solutions both on-premises and in the cloud. Define technical strategies and roadmaps for Data & AI-driven projects, ensuring alignment with business objectives. Collaborate with data scientists, data engineers, business functional and product teams to integrate Data & AI solutions into production environments. Advice, oversee the evaluation and adoption of Data & AI technologies, tools, and platforms. Serve as the technical leader and mentor to Data & AI and engineering teams. Deliver scalable, secure, and optimized Data & AI solutions. Lead Data & analytic literacy of the organization and serve as a translator of deep technical concepts into simple business vernacular. Be aware and lead industry trends and advancements in Data & AI to help maintain a competitive edge. Communicate complex technical concepts to non-technical stakeholders effectively. This is an individual contributor role.

Minimum Job Requirements:

Education Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field also acceptable. Work Experience 8 or more years of experience in AI, machine learning, or data science, with at least 4 years in a senior or lead architect role. Proven track record of designing and deploying large-scale Data & AI systems in production environments. Experience leading cross-functional teams in the delivery of complex AI projects. Hands‑on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Knowledge / Skills / Abilities Must be deeply curious, desire to experiment. Expertise in machine learning algorithms, Neural networks, Genetic Algorithms, Decision trees, Business dynamic models, Agent based models, Advanced statistical techniques and operations research. Strong proficiency in programming languages such as Python, R, or Java. Ability to design scalable, secure, and efficient AI architectures. Exceptional problem‑solving and analytical skills. Strong leadership and mentorship abilities, with a focus on fostering innovation and collaboration. Excellent communication skills, capable of translating technical concepts to diverse audiences. Ability to work in a fast‑paced, dynamic environment and manage multiple priorities.

Preferred Job Requirements:

Education Ph.D. In Operations Research, Data Science, or a closely related field. Master’s degree in a relevant field with significant research or project work in AI or machine learning. Certification / License Relevant certifications such as AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, or Microsoft Certified: Azure AI Engineer Associate. Work Experience Experience with generative AI and reinforcement learning. Knowledge / Skills / Abilities Publications or patents in AI, machine learning, or related fields. Familiarity with DevOps practices and MLOps pipelines for AI deployment. Experience in industries such as healthcare, finance, or technology.

Physical Requirements and Working Conditions

While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionally lift up to 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.

We believe power is a promise - a shared commitment to be there for others when it matters most. For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future. Ready to Power a Smarter World with us?

As one of the leaders and largest suppliers of power generation equipment and technology, the work we do touches millions of lives. Employees at Generac are encouraged to be innovative and are valued as an integral part of our global team. Our challenging goals develop knowledgeable employees dedicated to helping continue Generac’s success. Generac provides individuals the opportunity to work in a fast-paced agile work environment where their work makes a difference in people’s lives and their own.

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