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Data Developer Jobs in Milwaukee, WI (NOW HIRING)

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

As Baird continues to invest in data as a strategic asset, we are adding a Data & Analytics Engineer to our growing IT Data Team. In this role, you'll play a meaningful part in shaping how financial ...

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

As Baird continues to invest in data as a strategic asset, we are adding a Data & Analytics Engineer to our growing IT Data Team. In this role, you'll play a meaningful part in shaping how financial ...

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

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 ...

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 ...

Old National Bank

Data Engineer Lead

Milwaukee, WI · On-site

$98K - $199K/yr

Data Engineer Lead Job Locations US-MN-Lake Elmo | US-IL-Chicago | US-IN-Evansville | US-WI-Milwaukee Category/Function Information Technology Position Type Regular Full-Time Requisition ID 2026 ...

Fiserv, Inc.

Big Data Engineer, Senior

Milwaukee, WI · On-site

$55 - $72.75/hr

Big Data Engineer, Senior EMPLOYER: Fiserv Solutions, LLC LOCATION: Milwaukee, WI (and various unanticipated locations throughout the US subject to authorization from management) DUTIES: Design ...

Continuus Technologies LLC

Senior Data Engineer

Germantown, WI · On-site

$107K - $146K/yr

Role Overview The Senior Data Engineer designs, builds, and maintains scalable data pipelines and data platforms that support analytics, reporting, and data-driven products. This role plays a key ...

Quad

Director, Analytics, Data Engineering

Sussex, WI · On-site

$122K - $170K/yr

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 ...

Quad

Director, Analytics, Data Engineering

Sussex, WI · On-site

$122K - $170K/yr

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 ...

ULINE

Senior Data Engineer

Kenosha, WI

$96K - $148K/yr

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a ...

ULINE

Senior Data Engineer

Kenosha, WI · On-site

$96K - $148K/yr

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a ...

Artisan Partners

Data Platform Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

Artisan Partners is seeking a Data Platform Engineer to join our Data Platform Systems team. This team is responsible for the infrastructure, services, security controls, and engineering and ...

Artisan Partners

Data Platform Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Artisan Partners is seeking a Data Platform Engineer to join our Data Platform Systems team. This team is responsible for the infrastructure, services, security controls, and engineering and ...

Pwc

Data Strategy-Manager

Milwaukee, WI

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Bakertilly

Data Solution Architect

Milwaukee, WI · On-site

$123K - $234K/yr

Collaborate with clients and internal stakeholders to design and implement scalable data engineering solutions using the Microsoft Analytics ecosystem. * Develop and maintain data pipelines, ensuring ...

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All JobsData Developer JobsData Developer Jobs in Milwaukee, WI

Data Developer information

See Milwaukee, WI salary details

$26

$52

$79

How much do data developer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for data developer in Milwaukee, WI is $52.34, according to ZipRecruiter salary data. Most workers in this role earn between $42.88 and $59.23 per hour, depending on experience, location, and employer.

How does a Data Developer typically collaborate with data analysts and data engineers within a project team?

Data Developers frequently work alongside data analysts and data engineers to design, build, and maintain robust data pipelines and databases. While data engineers often focus on the infrastructure and large-scale data architecture, Data Developers bridge the gap by implementing data models, optimizing queries, and ensuring data is accessible and reliable for analysis. Regular collaboration includes aligning on data requirements, troubleshooting data flow issues, and refining processes to support business intelligence and reporting needs. This teamwork ensures that data assets are accurate, up-to-date, and tailored for various stakeholder needs.

What are Data Developers?

Data Developers are professionals who design, build, and maintain systems that collect, store, process, and analyze large volumes of data. They work with databases, data pipelines, and various programming languages to ensure that an organization’s data is accessible, reliable, and efficiently managed. Data Developers often collaborate with data analysts, data scientists, and other IT staff to support business intelligence and data-driven decision-making. Their responsibilities may include writing complex SQL queries, developing ETL (extract, transform, load) processes, and optimizing database performance.

How much does a data developer make?

The average salary for a data developer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled data developers proficient in programming languages like Python or SQL and familiar with data management tools tend to earn higher salaries.

What are the key skills and qualifications needed to thrive as a Data Developer, and why are they important?

To thrive as a Data Developer, you need strong programming skills (such as SQL, Python, or Java), a deep understanding of database design, and experience with data modeling, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL Server, Oracle, ETL platforms, and cloud data services, as well as certifications in database technologies, are commonly required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with stakeholders and translating data needs into solutions. These competencies ensure efficient data management, support business intelligence efforts, and enable the delivery of reliable, scalable data systems.

What jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. Certain roles in finance, technology, and law, especially with bonuses, stock options, or profit sharing, also reach this level. These positions typically require advanced skills, extensive experience, and often involve leadership or highly specialized expertise.

What is the difference between Data Developer vs Data Analyst?

AspectData DeveloperData Analyst
Primary RoleBuilds and maintains data pipelines, databases, and data infrastructureAnalyzes data to generate reports, insights, and support decision-making
Skills & CertificationsSQL, ETL tools, programming (Python, Java), database managementSQL, Excel, data visualization tools, statistical analysis
Work EnvironmentData engineering teams, IT departments, software development environmentsBusiness units, analytics teams, management
Industry UsageTechnology, finance, healthcare, any data-driven industryMarketing, finance, retail, business intelligence

While Data Developers focus on creating and maintaining the data infrastructure, Data Analysts interpret data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What does a data developer do?

A data developer designs, builds, and maintains data systems and pipelines to collect, store, and process large volumes of data. They often work with programming languages like SQL and Python, and use tools such as data warehouses and ETL (Extract, Transform, Load) processes to ensure data is accessible and reliable for analysis and decision-making.

Is 40 too late for data science?

A data developer or data scientist can start a career at age 40, as skills in programming, statistics, and data analysis are learnable at any age. Many professionals successfully transition into data roles later in life by gaining relevant certifications and experience. Age is less important than skills, continuous learning, and practical experience in the field.
What are popular job titles related to Data Developer jobs in Milwaukee, WI? For Data Developer jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Data Developer jobs in Milwaukee, WI look for? The top searched job categories for Data Developer jobs in Milwaukee, WI are:
Data Developer jobs near you
Infographic showing various Data Developer job openings in Milwaukee, WI as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 3% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $108,858 per year, or $52.3 per hour.

Director of Data Engineering & Platforms

Cotality

Milwaukee, WI • On-site

Full-time

Medical, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

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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