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Remote Big Data Engineer Jobs in Wisconsin (NOW HIRING)

KOHLS

Senior Data Engineer (Remote)

Menomonee Falls, WI · Remote

$123K - $162.10K/yr

Additional tasks may be assigned Addendum SENIOR BIG DATA SOFTWARE ENGINEER * Develop, automate, and maintain batch and streaming ETL pipelines using Apache Airflow, Apache Spark, Python, and Scala.

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 ...

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 ...

Qualysoft

Der Fokus liegt auf Big-Data-Engineering , ML/LLM-Workloads , MLOps-Automatisierung sowie der ... Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ...

Zendesk

Senior Data Engineer

Madison, WI · On-site +1

$106.80K - $145.10K/yr

Basic Qualifications * 5+ years of data engineering experience building, working & maintaining data pipelines & ETL processes on big data environments * 5+ years of experience in Data Modeling and ...

Zendesk

Senior Data Engineer

Madison, WI · On-site +1

$106.80K - $145.10K/yr

Basic Qualifications * 5+ years of data engineering experience building, working & maintaining data pipelines & ETL processes on big data environments * 5+ years of experience in Data Modeling and ...

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

... deployment BIG DATA SOFTWARE ENGINEER * Experience in SQL, Python, Spark, Kafka and Airflow ... Experience in build management and DevOps using Gitlab, docker, linux scripting * Data modeling and ...

KOHLS

Software Engineer (Remote)

Menomonee Falls, WI · On-site +1

... deployment BIG DATA SOFTWARE ENGINEER * Experience in SQL, Python, Spark, Kafka and Airflow ... Experience in build management and DevOps using Gitlab, docker, linux scripting * Data modeling and ...

Cloudera

$171K - $210K/yr

Big Data, Data Warehousing or Relational Databases * One or more of the three major cloud service ... Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

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How much do remote big data engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote big data engineer in Wisconsin is $63.57, according to ZipRecruiter salary data. Most workers in this role earn between $54.09 and $71.59 per hour, depending on experience, location, and employer.

What is a Remote Big Data Engineer job?

A Remote Big Data Engineer designs, develops, and manages large-scale data processing systems while working from a remote location. They build data pipelines, optimize data storage, and ensure efficient data processing for analytics and machine learning applications. Their role involves working with technologies like Hadoop, Spark, and cloud platforms to handle massive datasets. Effective communication and collaboration with distributed teams are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Remote Big Data Engineer position, and why are they important?

To thrive as a Remote Big Data Engineer, you need a strong background in computer science, data engineering, and programming languages such as Python, Java, or Scala, often supported by a relevant degree. Expertise in big data technologies like Hadoop, Spark, Kafka, and cloud platforms (AWS, Azure, or GCP), along with certifications like Google Professional Data Engineer or AWS Certified Big Data, is highly valuable. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills allow you to excel in distributed teams. These skills and qualities enable you to efficiently manage, analyze, and derive insights from massive datasets in a remote work environment.

What are typical challenges faced by Remote Big Data Engineers, and how can they be managed?

Remote Big Data Engineers often navigate challenges such as collaborating across different time zones, ensuring secure and efficient data transfer, and maintaining clear communication with distributed teams. Staying up to date with rapidly evolving technologies and troubleshooting complex data pipeline issues without in-person support can also be demanding. Successful engineers manage these challenges by leveraging robust project management tools, fostering transparent communication, and participating in ongoing training or knowledge-sharing sessions. By proactively addressing these hurdles, they contribute to smoother project delivery and continuous team collaboration.
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Remote Big Data Engineer jobs near you
Futuremindz llc: Data Engineer (Part-Time, Remote)

Futuremindz llc: Data Engineer (Part-Time, Remote)

CloudDevs

Wausau, WI • Remote

$122.70K - $147.40K/yr

Part-time

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

Job description

LocationAnywhere, LatamsHeadquarters: TexasJob Title: Data Engineer (Part-Time, Remote) Experience: 10-12 years Work Type: Part-Time (Remote) Employment Type: W2 only (No OPT / CPT) Note: H-1B candidates are Also welcome to apply About the Role We're looking for a senior Data Engineer with strong hands-on skills in building, optimizing, and maintaining data pipelines and platforms. This is a part-time remote role suited for experienced professionals who prefer flexible hours. Key Responsibilities • Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.

• Build and optimize data lakes, warehouses, and streaming pipelines. • Work closely with data scientists, analysts, and product teams to ensure reliable data access. • Maintain data quality, lineage, and governance standards.

• Monitor and improve pipeline performance and scalability. • Collaborate on cloud-based data architecture and best practices. Required Skills • 10-12 years of experience in data engineering or related roles.

• Strong coding skills in Python, SQL, and at least one ETL framework (Airflow, dbt, etc.). • Hands-on experience with cloud data platforms (AWS Glue, Redshift, GCP BigQuery, Azure Synapse, etc.). • Solid understanding of data warehousing, partitioning, schema design, and optimization.

• Familiarity with streaming technologies like Kafka or Spark Streaming. • Strong problem-solving, debugging, and communication skills. Please reach out to Sudheer Kumar.V Email: Phone: +1 #J-18808-Ljbffr

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