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Data Engineering Jobs in Milwaukee, WI (NOW HIRING)

Quad

Director, Analytics, Data Engineering

Sussex, WI · On-site

The Director, Data Engineering - Architect is responsible for defining and governing the enterprise data architecture strategy that powers the Quad/Rise Data Stack. This role provides architectural ...

Continuus Technologies LLC

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience) * Experience with SQL and relational databases * Familiarity with at least ...

Rural Mutual Insurance

Data Engineer

Milwaukee, WI · On-site +1

$112K - $135K/yr

The ideal candidate will have a deep understanding of data engineering and data modeling principles, with a proven track record of designing, implementing, and maintaining robust and scalable data ...

Pwc

Data Engineer - Senior Manager

Milwaukee, WI

$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 ...

ULINE

Senior Data Engineer

Kenosha, WI

$96K - $148K/yr

Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a Senior Data Engineer at Uline, you'll play a pivotal role in ...

Baird

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

Bespoke Labs

Data Engineer

Racine, WI · On-site

$107K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Kenosha, WI · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

Bespoke Labs

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

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All JobsData Engineering JobsData Engineering Jobs in Milwaukee, WI

Data Engineering information

See Milwaukee, WI salary details

$45.3K

$162.6K

$239.9K

How much do data engineering jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data engineering in Milwaukee, WI is $162,583.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $167,500.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

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

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Milwaukee, WI? The most popular types of Data Engineering jobs in Milwaukee, WI are:
What are popular job titles related to Data Engineering jobs in Milwaukee, WI? For Data Engineering jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Milwaukee, WI look for? The top searched job categories for Data Engineering jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Data Engineering jobs? Cities near Milwaukee, WI with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Milwaukee, WI as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $162,583 per year, or $78.2 per hour.

Director of Data Engineering & Platforms

Cotality

Milwaukee, WI • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 3 days ago

Job description

At Cotality, we are driven by a single mission-to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.
Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.
Job Description:
We are seeking a hybrid or remote Director of Data Engineering & Platforms to lead our data transformation initiatives and establish robust data architecture frameworks. This role reports to the AVP of Cloud Engineering and is responsible for designing, implementing, and maintaining our enterprise data ecosystem across bronze, silver, and gold data layers following Data Mesh and Data Vault methodologies.
This role sits at the intersection of data engineering and AI enablement, where the decisions made in the data layer directly shape the quality of what AI systems can deliver. The ideal candidate will drive technical leadership and strategic direction for our data platform while partnering with Product Management, Data Analytics, Data Systems, Cloud Engineering, and product teams to transform raw data into actionable business intelligence.
Key Responsibilities:
Strategic Leadership & Architecture
  • Lead the development and implementation of our data engineering strategy, architecture roadmap, and technical standards
  • Oversee the design and evolution of our data ecosystem utilizing Data Vault methodologies and Data Mesh principles
  • Establish governance and quality frameworks across Bronze (raw), Silver (transformed), and Gold (consumption-ready) data layers
  • Partner with Product Management to align data platform capabilities with business objectives and market demands
  • Drive the technical roadmap for data integration, transformation, and delivery systems, with explicit milestones for AI readiness

Technical Direction & Delivery
  • Provide technical leadership and oversight for the data engineering team, ensuring best practices in data pipelines, transformations, and delivery
  • Oversee the design and implementation of Snowflake data architecture including warehousing, marts, and access patterns optimized for both BI and AI workloads
  • Direct the development of robust ETL/ELT processes using Matillion, Python-based pipeline frameworks, and other modern data integration tools
  • Guide the implementation of data quality monitoring, lineage tracking, and metadata management
  • Establish standards for data modeling, transformation logic, and performance optimization

AI Data Infrastructure
  • Partner with AI/ML and product engineering teams to ensure the data layer supports LLM-powered applications reliably and at scale
  • Provide architectural direction for retrieval and grounding pipelines, including vector stores, embedding workflows, and hybrid search infrastructure
  • Define standards for data preparation for AI, covering metadata enrichment, context optimization, and semantic indexing
  • Build observability into AI data flows and monitor for drift and retrieval quality degradation
  • Guide the team's evaluation and adoption of emerging AI-native data tools, including vector databases and LLM orchestration frameworks

AI Governance & Risk
  • Establish governance frameworks for AI data use, including data lineage into models, PII controls upstream of LLM consumption, and output auditability
  • Define the organization's standards for acceptable AI data quality thresholds and remediation workflows
  • Partner with Security and Compliance to ensure AI data pipelines meet regulatory and privacy requirements

Team Leadership & Development
  • Build, mentor, and lead a high-performing data engineering team with strong core data engineering fundamentals and a growing fluency in modern AI infrastructure
  • Collaborate cross-functionally with Product Management, Data Analytics, Data Systems, Cloud Engineering, and product teams
  • Foster a culture of innovation, continuous improvement, and technical excellence where AI is a tool the team uses daily, not a project they hand off
  • Develop talent through coaching, training, and career development opportunities, with an emphasis on AI-era skills including Python, vector search, and agentic pipeline concepts
  • Promote adaptive methodologies and DevOps practices within the data engineering discipline

BI & Analytics Enablement
  • Oversee the technical implementation of Power BI reporting solutions and analytics platforms
  • Ensure data pipelines efficiently support BI reporting needs and business intelligence requirements
  • Partner with Data Analytics teams to optimize data structures for analytical workloads
  • Guide the design of data models that enable self-service analytics and reporting
  • Establish patterns for efficient and secure data access across the organization

Innovation & Future-State Planning
  • Evaluate emerging technologies and methodologies for potential integration into our data platform, with particular attention to AI/ML tooling and agentic workflow frameworks
  • Lead proof-of-concepts and pilots for innovative data solutions, including AI-powered pipeline automation and LLM-grounded analytics
  • Develop the technical foundation to support advanced analytics and machine learning initiatives
  • Guide the evolution of our data architecture to support real-time and streaming use cases
  • Stay current with industry trends and incorporate best practices into our data ecosystem

Job Qualifications:
  • Bachelor's degree from an accredited institution or equivalent professional experience with demonstrated capability
  • 8+ years of progressive experience in data engineering, data architecture, or related technical roles
  • 5+ years of leadership experience managing data engineering teams and initiatives
  • Extensive experience with modern data platforms, particularly Snowflake and cloud-based data solutions
  • Deep understanding of data modeling techniques including Data Vault, dimensional modeling, and Data Mesh concepts
  • Hands-on experience with ETL/ELT tools like Matillion and data integration patterns
  • Strong knowledge of SQL Server, Cosmos DB, and database technologies
  • Experience with Power BI or similar BI platforms and understanding of reporting architectures
  • Proven track record implementing data governance, quality, and metadata management solutions
  • Experience partnering with product teams and translating business requirements into technical solutions
  • Demonstrated interest in AI/ML data infrastructure, whether through independent projects, coursework, or applied experimentation
  • Ability to engage credibly with engineers building LLM-powered systems and make sound architectural decisions without being the implementer

Preferred Qualifications:
  • Bachelor's or master's degree in computer science, Information Systems, or a related field
  • Proficiency in Python and experience with Spark or other data processing frameworks
  • Knowledge of CI/CD practices and DevOps for data pipelines
  • Has independently explored or prototyped with vector databases, RAG pipelines, or LLM grounding concepts
  • Familiarity with LLM orchestration frameworks such as LangChain or LlamaIndex
  • Exposure to agentic workflow concepts and the data contracts they require
  • Experience with real-time data integration and streaming architecture
  • Background in implementing data security and privacy controls
  • Understanding of API design and microservices architectures
  • Experience in insurance, financial services, or real estate industries

#LI-Remote
Annual Pay Range:
134,400 - 192,000 USD
Application Window:
This opportunity is expected to remain posted through the date identified below, subject to business needs.
2026-07-01
Thrive with Cotality
At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life.
Highlights, depending on role classification, include:
  • Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
  • Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.
  • Health: Multiple medical plan options with mental health and wellness support offerings.
  • Retirement: 401(k) with company match and vesting after one year.
  • Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250.
  • Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more!

Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality maintains a Drug-Free Workplace.
Cotality is fully committed to a work environment that embraces everyone's unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences.
Privacy Policy
Global Applicant Privacy Policy
By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide.
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