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Remote Data Engineer Jobs in Wisconsin (NOW HIRING)

Fur ein langfristig angelegtes Daten- und KI-Programm wird ein Databricks AI / ML Engineer ... Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ...

Software Developer - Remote

Milwaukee, WI · On-site +1

$50K - $60K/yr

Genesis10 is currently seeking a Software Developer for a full-time, remote opportunity with our ... data engineers. We recruit and hire high-potential people eager to learn and develop their ...

$90K - $100K/yr

The Data Conversion team migrates/converts historical customers' data into Motorola Solutions ... REMOTE Basic Requirements Required Skills: * High School diploma, Bachelor's degree in Engineering ...

Lead exploratory data analysis to cull actionable insights * Collaborate with stakeholders to ... Partner with engineering to support real-time personalization and scalable deployment Skills ...

$171K - $210K/yr

With as much data under management as the hyperscalers, we're the preferred data partner for the ... Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

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Showing results 1-20

Remote Data Engineer information

See Wisconsin salary details

$44.9K

$130.9K

$179.2K

How much do remote data engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for remote data engineer in Wisconsin is $130,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $138,800.00 per year, depending on experience, location, and employer.

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.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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.

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 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 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.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
What are the most commonly searched types of Data Engineer jobs in Wisconsin? The most popular types of Data Engineer jobs in Wisconsin are:
What are popular job titles related to Remote Data Engineer jobs in Wisconsin? For Remote Data Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Wisconsin look for? The top searched job categories for Remote Data Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Data Engineer jobs? Cities in Wisconsin with the most Remote Data Engineer job openings:

Senior Remote Sensing Technician

WESTWOOD PROFESSIONAL SERVICES INC

Middleton, WI • Remote

Other

Posted 6 days ago


Westwood Professional Services rating

8.4

Company rating: 8.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

85th of 352 rated engineering


Job description

Description

Westwood Professional Services, Inc. is seeking a Senior Remote Sensing Technician to join our team. Westwood's growing Geospatial Department provides professional-level products to its clients, leveraging the latest in industry technology. Westwood has a highly experienced, dynamic team dedicated to providing high-level professional services to our clients.


The Senior Remote Sensing Technician is responsible for post-processing aerial data to final deliverables supporting multiple markets and users. This role involves ensuring the accuracy and reliability of all deliverables created from LiDAR and imagery data from both manned and unmanned aircraft, troubleshooting technical issues, and conducting quality control checks. The Senior Remote Sensing Technician will work closely with Remote Sensing Project Leads and other stakeholders to support the successful execution of projects.

Requirements

Duties and Responsibilities:

  • Work closely with Remote Sensing Leadership and Project Leads to meet project expectations.
  • Perform post-processing procedures according to internal guidelines and industry best practices.
  • Create final deliverables based on project scope for various markets ready for the client as final deliverables.
  • Troubleshoot technical issues related aerial datasets.
  • Conduct thorough quality control checks to ensure the accuracy and reliability from junior technicians.
  • Stay updated on the latest advancements and best practices in remote sensing.
  • Assist in the development and implementation of standard operating procedures for aerial deliverables.
  • Collaborate with software vendors to address issues and obtain necessary support.
  • Participate in training programs and workshops to enhance technical knowledge and skills.
  • Assist with testing and implementation of new software.

Required Experience:

  • Minimum 5+ years of experience or Associate degree or equivalent in a related field (e.g., geomatics, surveying, remote sensing).
  • Minimum 3+ years in a senior technician role.
  • ASPRS certifications highly desired.
  • Strong understanding of LiDAR and remote sensing principles and data processing.
  • Proficiency in using Remote Sensing software and tools, such as, TerraSolid, RiProcess, MicroStation, MetaShape, Photoshop, PLS-CADD, TopoDOT.
  • In depth knowledge of coordinate systems and projections.
  • Industry experience in power generation and delivery, DOT, and renewables.
  • Scripting and light programming knowledge to support automation.
  • Familiarity with surveying techniques and equipment for project control understanding.
  • Excellent problem-solving and troubleshooting skills.
  • Strong attention to detail and ability to work with precision.
  • Effective communication and teamwork skills.
  • Ability to work independently and manage multiple tasks simultaneously.
  • Willingness to adapt to changing technologies and industry trends.


Note: This job description is a general outline of the key responsibilities and qualifications of a Remote Sensing Calibration Technician. It is not exhaustive and may be subject to change based on the specific needs of the organization and projects.



About Westwood Professional Services, Inc. (Westwood)

At Westwood, our purpose is to create a better world for people through our work. We transform the energy grid, design resilient infrastructure, and develop communities that will flourish today and for future generations. With over 50 years of experience and a legacy of innovation, we stand at the forefront of our industry, dedicated to understanding the unique needs of the markets we serve.


Join us in creating a better world.

In 2024, Zweig Group ranked Westwood nationally at #13 and #40, respectively, on its Hot Firms and Best Firms to Work for lists. Zweig also awarded Westwood one national 1st place award for Marketing Excellence. Westwood was recently recognized as #83 in the ENR Top 500 Firms in 2024. The firm consistently ranks on the industry's top 25 lists and receives recognition for its involvement in award-winning projects nationwide.


Westwood provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. We believe that diverse backgrounds strengthen our business. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.