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

Deloitte

Lead Forward Deployed Engineer - AWS

Milwaukee, WI · On-site

$101K - $133K/yr

... Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50%, on average, based on the work you do and the clients and ...

Deloitte

Senior Forward Deployed Engineer- AWS

Milwaukee, WI · On-site

$103K - $141K/yr

... Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50%, on average, based on the work you do and the clients and ...

Deloitte

Forward Deployed Engineer- AWS

Milwaukee, WI · On-site

... Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50%, on average, based on the work you do and the clients and ...

Pwc

AI Engineer

Milwaukee, WI · On-site

$50K - $112K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... As an Associate, you will focus on learning and contributing to projects while developing your ...

Brady

Manufacturing Engineer - Master Data

Milwaukee, WI · On-site

$69K - $89K/yr

TheManufacturing Engineer - Master Data is responsible for establishing manufacturing and part ... Provide leadership to key associates to promote participation and cooperation in process ...

Network Health

Data Warehouse Engineer I

Brookfield, WI · On-site +1

The Data Warehouse Engineer I is part of a team dedicated to supporting Network Health's Enterprise ... Requires Associate Degree in Computer Science, Business, or related technical field; equivalent ...

Network Health

Data Warehouse Engineer I

Brookfield, WI · On-site +1

The Data Warehouse Engineer I is part of a team dedicated to supporting Network Health's Enterprise ... Requires Associate Degree in Computer Science, Business, or related technical field; equivalent ...

Generac

Principal Data & AI Architect

Waukesha, WI · On-site

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 ...

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Milwaukee, WI

Associate Data Engineer information

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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 job categories do people searching Associate Data Engineer jobs in Milwaukee, WI look for?

The top searched job categories for Associate Data Engineer jobs in Milwaukee, WI 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:

Associate Data Engineer jobs near you
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.

Data Platform Engineer II

Milwaukee, WI

Russell Investments
Finance and Insurance • 1 - 5K employees
Learn more about Russell Investmentsexternal

$105K - $130K/yr

Full-time

Medical, Retirement, PTO

Re-posted 2 days ago

Job description

Salary Range:$105,000 USD - $130,000 USD

Specific compensation will be based on candidate's experience, skills, qualifications,commercial considerations, and other job-related factors permitted by law. At RussellInvestments, salary is just one part of our compensation package. Our total rewardsapproach includes an annual performance bonus (subject to eligibility criteria) in addition toparticipation in our competitive benefits programs including healthcare, retirement, vacation,and wellbeing programs.


Job Description:

This role requires working on-site four days per week at our New York, Seattle, or Milwaukee office.

As a Data Platform Engineer,you will lead the design, development, and optimization of scalable data platforms that support enterprise-level warehousing,analyticsand reporting. Leveraging your deepexpertisein ETL technologies, Azure cloud services, and Snowflake, you will architect robust data pipelines, ensure data quality, and enable seamless data integration across systems. You will collaborate closely with data architects, analysts, and business stakeholders to deliver high-performance, cost-effective data solutions that align with organizational goals. Your role will also involve mentoring junior engineers,promotingbest practices, and driving continuous improvement in data engineering standards and platform reliability.

Your Core Responsibilities:

  • Design, develop, andmaintainend-to-end distributed data pipelines to support analytics, reporting, and operational workflows.

  • Build scalable, modular, and efficient data transformationtooptimizeenterprise level data ingestion, transformation, and loading processes using modern ETL frameworks and cloud-native tools.

  • Architect and administer Snowflake data warehouses, including performance tuning, resource management, and security configurations.

  • Design and develop scalable BI solutions using Power BI or other reporting tools (Tableau, Cognos), including data modelling, transformation, visualization, and performance optimization to deliver actionable insights.

  • Develop and enforce data quality, data governance, and metadata management practices.

  • Partner with data architects, analysts, and business stakeholders to understand data requirements and translate them into technical solutions.

  • Maintain strong documentation and adhere to SDLC and DevOps best practices.

Your Expertise

  • 3+years ofData Engineeringexperiencerequired

  • Priorexperience of working in Finance domain

  • Bachelor's degree in computer science, Mathematics, Statistics, or related engineering fieldrequired. Advanced degree preferred.

  • Hands-on experience with Snowflake,dbt,FiveTran/CensusandotherETL tools

  • Expertisein SQL,Pythonor other scripting languages

  • Workingknowledgeinvestment data vendors suchBloomberg,MSCI,Compustat,Worldscope, I/B/E/S, FTSE/Russell,IDCand other similar datasets

  • Understandingof Investment Managementdata domainsincluding Security Masters, Reference data,Indexes, Positions (IBOR, ABOR, trades), Performance and Analytics across different asset classes

  • Strong analytical mindset and attention to detail

  • Comfort working in cross-functional settings with business and tech teams

  • Experience withC#, .NET, ASP.NET Core (MVC + Web API), Entity Framework, SQL Server, JavaScript, Service-Oriented Architecture, Web APIs, Frontend frameworksa plus

This role is not eligible for employment-based immigration sponsorship. Applicants must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Equal Employment Opportunity

Russell Investmentsis committed to providing equal employment opportunities for all associates and employment applicants regardless of race, religion, ancestry, creed, color, gender (including gender identity which refers to a person's actual or perceived sex, and includes self-image, appearance, behavior or expression, whether or not different from that traditionally associated with a person's biological sex), age, national origin, citizenship status, disability, medical condition, military status, veteran status, marital status, sexual orientation, past or present unemployment status , or any other characteristic protected by law.

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