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Geospatial Data Engineer Remote Jobs in Wisconsin

Kohl's

Senior Data Engineer (Remote)

Menomonee Falls, WI · Remote

$123K - $162.10K/yr

Senior Big Data Software Engineer As Senior Software Engineer, you will collaborate closely with design, product and engineering experts to tackle real-world challenges and deliver innovative ...

KOHLS

Senior Data Engineer (Remote)

Menomonee Falls, WI · Remote

$123K - $162.10K/yr

Participate in the entire application lifecycle in collaboration with designers, product managers, and other engineers on the product team * Leverage critical thinking, experimentation, data, and ...

Kyyba

Data Engineer

Menasha, WI · On-site +1

$117.10K - $140.70K/yr

Job Title: (Data Engineer) About Kyyba: Founded in 1998 and headquartered in Farmington Hills, MI ... Remote Fulltime or part time: Part time (estimated 16-24 hours per week) Start date: 05/04/26 End ...

Lands' End

Data Warehouse Engineer (Remote)

Dodgeville, WI · Remote

$118.30K - $142.10K/yr

As a Data Warehouse Engineer, you are responsible for developing integrations using enterprise Extract, Transform, and Load (ETL) tools to meet business requirements. You have an advanced ...

DataAnnotation

Data Engineer - AI Trainer

Oregon, WI · On-site +1

$60/hr

We are looking for proficient programmers to help advance AI development. As a member of ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

Kohl's

Software Engineer (Remote)

Menomonee Falls, WI · On-site +1

Leverage critical thinking, experimentation, data and industry best practices to achieve desired business outcomes * Contribute to product engineering and software standards * Influence the team to ...

KOHLS

Software Engineer (Remote)

Menomonee Falls, WI · On-site +1

Leverage critical thinking, experimentation, data and industry best practices to achieve desired business outcomes * Contribute to product engineering and software standards * Influence the team to ...

Mondo

M365 Engineer

Racine, WI · Remote

$37 - $44/hr

Microsoft 365 Engineer, Remote. Start date is ASAP for this 6 Month Contract position. Job Title ... Strong analytical and problem-solving skills, with the ability to evaluate data, anticipate ...

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Geospatial Data Engineer Remote information

What are the key skills and qualifications needed to thrive as a Geospatial Data Engineer in a remote role, and why are they important?

To thrive as a Geospatial Data Engineer (Remote), you need a strong background in GIS, geospatial analysis, and computer science, often supported by a related degree and experience with spatial databases. Proficiency with tools like Python, SQL, PostGIS, ArcGIS, and cloud platforms is typically required, along with relevant certifications such as GISP. Excellent problem-solving, communication, and self-management skills are essential for collaborating across distributed teams and delivering results independently. These skills ensure effective management of complex geospatial datasets, seamless integration of spatial data solutions, and success in a remote work environment.

What are the typical challenges faced by remote Geospatial Data Engineers when collaborating with distributed teams?

Remote Geospatial Data Engineers often navigate challenges such as coordinating across different time zones, ensuring data consistency, and maintaining effective communication with team members who may have varying technical backgrounds. Utilizing collaborative tools like version control systems and cloud-based platforms helps streamline workflows, but clear documentation and regular check-ins are essential to prevent misunderstandings. Building strong relationships virtually and proactively addressing technical or logistical issues can greatly enhance productivity and teamwork in a remote setting.

What is a Geospatial Data Engineer?

A Geospatial Data Engineer is a technology professional who designs, develops, and manages systems for collecting, storing, analyzing, and visualizing geospatial (location-based) data. They work with geographic information systems (GIS), spatial databases, and cloud platforms to process large datasets from sources like satellites, drones, and sensors. In a remote setting, they collaborate with teams online to build and maintain geospatial data pipelines and support decision-making for industries such as urban planning, environmental science, and logistics.

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

AspectGeospatial Data Engineer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; experience with GIS software and programmingBachelor's in Geography, GIS, or related field; proficiency in GIS tools
Work EnvironmentRemote, often collaborative with teams across locationsTypically office-based or hybrid; fieldwork possible
Employer & Industry UsageTech companies, government agencies, environmental firmsUrban planning, government, environmental consulting
Common Search & ComparisonOften compared for GIS and data engineering roles in remote settings

The main difference between a Geospatial Data Engineer Remote and a GIS Analyst lies in their focus and skill set. Geospatial Data Engineers primarily develop and maintain data pipelines and infrastructure, often requiring programming skills, while GIS Analysts focus on spatial data analysis and map creation. Both roles may work remotely and share similar educational backgrounds, but their daily tasks and technical expertise differ significantly.

What are the most commonly searched types of Geospatial Data Engineer jobs in Wisconsin? The most popular types of Geospatial Data Engineer jobs in Wisconsin are:
What are popular job titles related to Geospatial Data Engineer Remote jobs in Wisconsin? For Geospatial Data Engineer Remote jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Wisconsin look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Wisconsin are:
What cities in Wisconsin are hiring for Geospatial Data Engineer Remote jobs? Cities in Wisconsin with the most Geospatial Data Engineer Remote job openings:
Geospatial Data Engineer Remote jobs near you
Senior Data Engineer (Remote)

Senior Data Engineer (Remote)

Kohl's

Menomonee Falls, WI • Remote

$123K - $162.10K/yr

Other

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

Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,434 frontline employees who took The Breakroom Quiz

11th of 21 rated department stores

Job description

Senior Big Data Software Engineer

As Senior Software Engineer, you will collaborate closely with design, product and engineering experts to tackle real-world challenges and deliver innovative solutions that elevate Kohl's retail offerings.

What You'll Do
  • Lead the development of high-quality applications that are robust, observable and measurable using extreme programming (XP) practices and a user-centric approach
  • Participate in the entire application lifecycle in collaboration with designers, product managers, and other engineers on the product team
  • Leverage critical thinking, experimentation, data, and industry best practices to implement desired business outcomes
  • Facilitate group discussions and team ceremonies and develop a shared context
  • Give and receive feedback that's empathetic, actionable and specific
  • Practice emergent architecture with sane defaults and build software that is easy to use and easy to modify
  • Establish and lead product engineering and software standards
  • Ideate a new product from a user perspective, starting with one or more problem spaces and ending with a stack-ranked list of feasible solutions to test
  • Research and stay up to date on tech market trends and practices
  • Lead technical initiatives not only on the team but also across the department
  • Additional tasks may be assigned

Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache Spark, Python, and Scala.

Build and manage cloud-based data ecosystems on GCP (BigQuery, Bigtable, Dataproc, Pub/Sub, Cloud Storage, IAM, VPC).

Design and optimize SQL and NoSQL data models for data lakes and warehouses (BigQuery, MongoDB, Snowflake).

Write complex SQL queries for advanced data transformation, aggregation, and analytics optimization within BigQuery or equivalent platforms.

Apply modern Test-Driven Development (TDD) methodologies for big data pipelines, ensuring test automation across Airflow workflows, Spark jobs, and transformation logic.

Apply data mesh and data-as-a-product principles to enable reusable and domain-driven datasets.

Implement real time ingestion with Kafka Connect and process streaming data using Spark Streaming, Apache Flink, or similar technologies.

Optimize data performance, scalability, and cost efficiency across GCP components.

Ensure compliance with PCI and PII data with standards such as GDPR, PCI DSS, SOX, and CCPA.

Integrate GenAI tools such as OpenAI, Gemini, and Anthropic LLMs for intelligent data quality and analytics enhancement.

Collaborate with stakeholders, data scientists, and full stack engineers to deliver trusted, documented, and reusable data products.

What Skills You Have

Required:

  • 4+ years of experience in software development
  • Understanding of application design patterns, event-driven architecture, database, schemas and testing strategies
  • In-depth knowledge and experience with continuous integration, continuous deployment and test-driven development

Preferred:

  • Bachelor's Degree or equivalent in MIS, Computer Science or related field
  • Experience with large-scale application troubleshooting and performance tuning
  • Exposure working with major cloud platforms (GCP, AWS, or Azure)
  • Familiarity and experience with XP (Extreme Programming)

What Kohl's employees say

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Hours and flexibility

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