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Remote Data Engineering Jobs in Wisconsin (NOW HIRING)

Sr Data Engineer - Remote

La Crosse, WI ยท On-site +1

$112K - $135K/yr

This is an exciting remote opportunity to drive technical transformations, adopt modern cloud ... Take accountability for the entire data engineering lifecycle, including research, proof of ...

Sr Data Engineer - Remote

La Crosse, WI ยท Remote

$112K - $135K/yr

This is an exciting remote opportunity to drive technical transformations, adopt modern cloud ... Take accountability for the entire data engineering lifecycle, including research, proof of ...

$211K - $246K/yr

Define the data engineering and analytics roadmap, aligned with company goals. This includes prioritizing data platform investments, reporting needs, analytics capabilities, and cross-functional data ...

Staff Data Architect (Remote)

Menomonee Falls, WI ยท On-site +1

$64 - $82.25/hr

Influence and guide source data design by partnering with product and engineering teams to ensure data quality, ownership, and governance are embedded at the point of origination, before data ...

Senior Director - Client Data Solutions

Wauwatosa, WI ยท Remote

$103K - $139K/yr

Role: Remote - United States Work set up: Monday to Friday - FTE Skills: Are you Strong experience in Data engineering / Data platforms & integrations? Do you have the ability to Identify most ...

Senior Director - Client Data Solutions

Wauwatosa, WI ยท On-site +1

$103K - $139K/yr

Role: Remote - United States Work set up: Monday to Friday - FTE Skills: Are you Strong experience in Data engineering / Data platforms & integrations? Do you have the ability to Identify most ...

Strong data engineering and/or cloud expertise. * Previous experience as a data scientist ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

Strong data engineering and/or cloud expertise. * Previous experience as a data scientist ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

Strong data engineering and/or cloud expertise. * Previous experience as a data scientist ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

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Showing results 1-20

Remote Data Engineering information

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Wisconsin? The most popular types of Data Engineering jobs in Wisconsin are:
What are popular job titles related to Remote Data Engineering jobs in Wisconsin? For Remote Data Engineering jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Wisconsin look for? The top searched job categories for Remote Data Engineering jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Data Engineering jobs? Cities in Wisconsin with the most Remote Data Engineering job openings:
Infographic showing various Remote Data Engineering job openings in Wisconsin as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Director of Data Engineering & Platforms

Cotality

Milwaukee, WI โ€ข Remote

Full-time

Medical, Life, Retirement, PTO

Posted 26 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 remote Director of Data Engineering & Platforms to lead our data transformation initiatives and establish robust data architecture frameworks. This role will report to the AVP of Cloud Engineering and will be responsible for designing, implementing, and maintaining our enterprise data ecosystem across Bronze, Silver, and Gold data layers following Data Mesh and Data Vault methodologies. 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

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

  • Direct the development of robust ETL/ELT processes using Matillion 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

Team Leadership & Development

  • Build, mentor, and lead a high-performing

  • 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

  • Develop talent through coaching, training, and career development opportunities

  • 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

  • Lead proof-of-concepts and pilots for innovative data solutions, including AI/ML enablement

  • 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

Preferred Qualifications:

  • Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.

  • Experience with Python, Spark, or other data processing frameworks

  • Knowledge of CI/CD practices and DevOps for data pipelines

  • Familiarity with AI/ML tooling and data preparation for machine learning

  • Experience with real-time data integration and streaming architectures

  • Background in implementing data security and privacy controls

  • Understanding of API design and microservices architectures

  • Experience in the 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.

2026-06-24

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 Opportunityemployer committed to attracting and retaining thebest-qualified people available, without regard torace, color, religion, national origin, gender, sexualorientation, gender identity, age, disability or statusas a veteran of the Armed Forces, or any other basisprotected by federal, state or local law. Cotalitymaintains a Drug-Free Workplace.

Cotality is fully committed to a work environment that embraces everyone's uniquecontributions, experiences and values. We offer anempowered work environment that encouragescreativity, initiative and professional growth andprovides a competitive salary and benefits package. We are better together when we support and recognize our differences.

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