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Remote Data Engineer Jobs in Sheboygan Falls, WI

Society Insurance Company

Data Architect

Fond Du Lac, WI · On-site +1

$62.75 - $80.75/hr

Home Office, Hybrid, and Remote Opportunities in: CO, GA, IL, IN, IA, MN, TN, TX, and WI This ... Works with data engineering and Agile teams to ensure architecture is implemented effectively ...

Sargento

Data, Analytics, & AI Intern

Plymouth, WI · On-site +1

You seek an opportunity to expand your skills in developing data structures, data programming ... Flexible work week onsite Mondays through Thursdays and optional remote Fridays; plus, half day ...

Sargento

Data, Analytics, & AI Intern

Plymouth, WI · On-site +1

You seek an opportunity to expand your skills in developing data structures, data programming ... Flexible work week onsite Mondays through Thursdays and optional remote Fridays; plus, half day ...

New

EnerSys

Senior Finance AI & Automation Developer

Adell, WI · On-site +1

$95K - $142K/yr

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... Strong understanding of data structure and APIs required * Experience with Python and/or other code ...

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Remote Data Engineer information

See Sheboygan Falls, WI salary details

$46K

$134.1K

$183.5K

How much do remote data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote data engineer in Sheboygan Falls, WI is $134,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $142,200.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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 in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

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

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

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For Remote Data Engineer jobs in Sheboygan Falls, WI, the most frequently searched job titles are:

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Cities near Sheboygan Falls, WI with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you

Data Architect

Society Insurance Company

Fond Du Lac, WI • On-site, Remote

$62.75 - $80.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Job description

Job Information

Job Title

Data Architect

Home Department:

Information Technology

Employment Status:

Exempt; Full-time

Schedule:

Flexible Scheduling Opportunities 

Position Location:

Home Office, Hybrid, and Remote Opportunities in:
CO, GA, IL, IN, IA, MN, TN, TX, and WI

 

This position offers flexible remote/hybrid work scheduling and we are targeting candidates who are located within the 9 states which Society conducts business in. Visit us at https://societyinsurance.com/ to learn more.

 

 

Overview

Protecting our policyholders’ dreams, passions, and livelihoods has a direct impact on the communities we serve. We work towards excellence, conduct ourselves with high integrity, and take our work seriously, but not ourselves. Small Details. Big Difference. Find out how you can make a difference with a career at Society.

Society Insurance is seeking an experienced Data Architect to join our IT team. The Data Architect leads the design and implementation of the enterprise data architecture, translating business and data strategy into scalable, governed, and high-performing data platforms and solutions. The role is accountable for delivering the data architecture vision and enabling execution of the data strategy, including data models, pipelines, platforms, and integration patterns that support analytics, reporting, and operational use cases. The Data Architect partners with business and IT stakeholders to ensure data is trusted, accessible, and aligned to enterprise architecture standards, while driving modernization and continuous improvement of data capabilities. 

 

About the Role 

  • Translates enterprise data strategy into architecture, platforms, and implementation roadmaps aligned to business and analytics needs.
  • Engages with business and IT stakeholders to gather requirements and define end-to-end data architecture solutions.
  • Defines and governs enterprise data architecture standards, including data models, pipelines, integration patterns, and platform design.
  • Designs and builds scalable data platforms and pipelines (data lakes, warehouses, cloud platforms) to support analytics and reporting.
  • Establishes and enforces data modeling standards (logical, physical, dimensional) across systems and domains.
  • Designs and optimizes data ingestion, transformation, and integration patterns (ETL/ELT) to ensure reliable data movement across systems.
  • Ensures data architecture supports data quality, lineage, metadata, and governance frameworks aligned to enterprise standards.
  • Collaborates with architects and engineers to define architecture enablers, guide solution design, and support implementation.
  • Works with data engineering and Agile teams to ensure architecture is implemented effectively across delivery cycles. 
  • Leads evaluation and selection of data technologies, tools, and platforms, including proof-of-concepts (POCs).
  • Develops and maintains data architecture roadmaps, including modernization, consolidation, and performance optimization.
  • Drives modernization of legacy data and reporting platforms to improve scalability, performance, and usability.
  • Ensures alignment between data, application, and infrastructure architecture.
  • Participates in Agile/PI Planning to align teams to a shared technical direction and standards.
  • Acts as a technical expert and leader, mentoring teams and driving adoption of best practices across data architecture and engineering.


About You

  • You are analytical and connect data across systems to support business insight and decision-making.
  • You are creative and innovative and identifies better ways to organize, integrate, and govern data.
  • You are driven by an underlying curiosity and desire to know more about things, people, or issues.
  • You take ownership of challenges and drive improvements in architecture, standards, and processes.
  • You quickly apply new knowledge, tools, and ideas to solve business and data challenges.
  • You enjoy managing the efficiency, accuracy, and integrity of the work that you produce.
  • You effectively prioritize work, manage multiple responsibilities, and meet deadlines.


What it Will Take

  • Bachelor’s degree in computer science, engineering, or related field. 
  • 8+ years of experience in data architecture, data engineering, or data platform design. 
  • Strong experience designing and implementing data pipelines, data lakes, and data warehouses. 
  • Experience with cloud data platforms, (Azure Synapse, Data Factory, Fabric, Databricks, etc.) 
  • Deep understanding of data modeling, ETL/ELT patterns, and data integration. 
  • Experience implementing data architecture aligned to business and analytics needs. 
  • Strong collaboration skills across business, architecture, and engineering teams. 
  • Expertise in one or more of the following, but with versatility to grow in other areas: 
  • Microsoft stack of Data Tools & Technologies (SQL, SSIS, TSQL)
  • Azure SQL Databases
  • Azure Blob storage
  • Azure App Services
  • Microsoft Azure Synapse, Data Factory & Fabric
  • Microsoft stack of Business Intelligence Tools (Power BI)
  • Data Modeling (Idera ERStudio)
  • Data Warehouse Design
  • Data Analytics Concepts
  • Strong organizational skills. 
  • Demonstrated success in managing and/or completing projects. 
  • SAFe Agile Delivery experience highly desirable.


What Society Can Offer 

  • Comprehensive Benefits Package: Salary with bonus plan; health, dental, life, and vision insurance
  • Retirement: Traditional or Roth 401(k) Defined Contribution Plan PLUS Profit-Sharing Plan
  • Work-Life Balance: Company-paid holidays; flexible scheduling; PTO; telecommuting options
  • Education: Career Coaching; company-paid courses; student loan and tuition reimbursement
  • Community: Charitable Match; paid volunteer time; team sponsorships
  • Wellness: Employee Assistance Program; wellness initiatives/rewards; health coaching; and more


Society Insurance prohibits discrimination and harassment of any type against applicants and employees on the basis of race, color, religion, sex, national origin, age, handicap, disability, genetics, veteran status or military service, marital status or sexual orientation, gender identity or expression, or any other characteristic or status protected by federal, state or local laws. Society Insurance also provides reasonable accommodations to qualified individuals with disabilities in accordance with the requirements of the Americans with Disabilities Act and applicable state and local laws.


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