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Senior Data Engineer Python Jobs in Wisconsin (NOW HIRING)

WI · On-site

$109K - $145K/yr

DTN is seeking a results‑driven Senior Data Engineer to support the ingestion, quality, integrity ... Strong programming skills in Python or other modern development languages such as Java or Go.

Senior Data Engineer

Germantown, WI · On-site

$107K - $146K/yr

Role OverviewThe Senior Data Engineer designs, builds, and maintains scalable data pipelines and ... Python (or similar language)Experience with data warehousing and data modeling techniquesProven ...

Senior Data Engineer

Marshfield, WI · On-site

$106K - $144K/yr

The Opportunity Roehl Transport is seeking a Senior Data Engineer to help design and deliver modern ... Use Python and AI-enabled tools where appropriate to improve automation, integration, analysis, and ...

Sr Data Engineer

Menomonee Falls, WI

$106K - $144K/yr

As a Senior Data Engineer , you will deliver innovative data products that enable Milwaukee Tool to ... Optimize complex distributed workloads including SQL, Python, and Spark; mentor others on advanced ...

Sr Data Engineer

Menomonee Falls, WI · On-site

$106K - $144K/yr

As a Senior Data Engineer, you will deliver innovative data products that enable Milwaukee Tool to ... Optimize complex distributed workloads including SQL, Python, and Spark; mentor others on advanced ...

Sr Data Engineer

Menomonee Falls, WI · On-site

$106K - $144K/yr

As a Senior Data Engineer , you will deliver innovative data products that enable Milwaukee Tool to ... Optimize complex distributed workloads including SQL, Python, and Spark; mentor others on advanced ...

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Build and modernize the data solutions that power Uline's growing business. As a Senior Data ...

Senior Data Engineer

Kenosha, WI · On-site

$96K - $148K/yr

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Build and modernize the data solutions that power Uline's growing business. As a Senior Data ...

Lead Data Engineer

Madison, WI · On-site

$115K - $138K/yr

... Senior Data Engineering capacity. * Expert-level proficiency with Python for data engineering and data processing. * Strong hands-on experience with Google Cloud Platform (GCP) . * Extensive ...

Senior Data Engineer

Milwaukee, WI · On-site

$104K - $141K/yr

We are looking for a Senior Data Engineer who is passionate about building trusted, scalable data ... Strong Python and SQL skills; experience with APIs, data formats, shell scripting, and Git-based ...

WI · On-site

$102K - $139K/yr

Function We're looking for a Senior Data Engineer to join our client's data team and play a key ... Data Factory, Python, and Data Flows. * Solid understanding of ETL/ELT, data pipelines, and ...

New

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Position Overview As a Senior Data Engineer, this seasoned professional will demonstrate competence ... Python, Scala, SQL development. * ETL data pipelines. * Designing and implementing data modeling ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Position Overview As a Senior Data Engineer, this seasoned professional will demonstrate competence ... Python, Scala, SQL development. * ETL data pipelines. * Designing and implementing data modeling ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Position Overview As a Senior Data Engineer, this seasoned professional will demonstrate competence ... Python, Scala, SQL development. * ETL data pipelines. * Designing and implementing data modeling ...

Sr. Data Engineer

Pewaukee, WI · On-site +1

$112K - $134K/yr

We're looking for a Data Engineer who is passionate about building scalable data solutions that ... Hands-on experience with Python Notebook, Microsoft Fabric and Azure Data Factory. Strong Python ...

Sr. Data Engineer

Pewaukee, WI · On-site

$112K - $134K/yr

We're looking for a Data Engineer who is passionate about building scalable data solutions that ... Hands‑on experience with Python Notebook, Microsoft Fabric and Azure Data Factory. * Strong ...

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Showing results 1-20

Senior Data Engineer Python information

What does a senior data engineer python do?

A Senior Data Engineer Python is responsible for designing, building, and maintaining complex data pipelines and architectures using Python as a primary programming language. They work with large datasets, ensuring data is collected, stored, and processed efficiently to support analytics and business intelligence. Their role often includes optimizing data workflows, collaborating with data scientists, and implementing data quality and security best practices. Senior Data Engineers also mentor junior team members and may help define data engineering strategies for their organization.

What are the key skills and qualifications needed to thrive as a senior data engineer python?

To thrive as a Senior Data Engineer Python, you need deep expertise in Python programming, data modeling, and ETL pipeline design, often supported by a degree in computer science or a related field. Familiarity with big data frameworks (such as Spark or Hadoop), cloud platforms (like AWS, GCP, or Azure), and relevant certifications are highly valued. Strong problem-solving, communication, and leadership skills enable effective collaboration and project delivery in cross-functional teams. These competencies are crucial for building robust, scalable data solutions that drive business insights and operational efficiency.

How does a senior data engineer python typically collaborate with data scientists and other engineering teams?

A Senior Data Engineer working with Python often plays a central role in bridging the gap between data science and engineering teams. They design and maintain robust data pipelines that ensure clean, reliable data is available for analytics and machine learning projects. Collaboration involves frequent communication with data scientists to understand data requirements and with software engineers to integrate data solutions into production systems. This multidisciplinary teamwork helps streamline project workflows and drives the development of scalable data solutions across the organization.

What is the difference between Senior Data Engineer Python vs Data Engineer Python?

AspectSenior Data Engineer PythonData Engineer Python
Required Experience5+ years, leadership skills1-3 years, foundational skills
ResponsibilitiesDesigning architecture, mentoring, complex data pipelinesBuilding data pipelines, data collection, basic ETL tasks
CertificationsRelevant certifications (e.g., AWS, GCP)Entry-level certifications preferred
Work EnvironmentCross-functional teams, project leadershipData teams, development environment

Senior Data Engineer Python roles typically require more experience, leadership, and complex project responsibilities compared to Data Engineer Python roles, which focus on building and maintaining data pipelines with less emphasis on leadership.

What are popular job titles related to Senior Data Engineer Python jobs in Wisconsin?

For Senior Data Engineer Python jobs in Wisconsin, the most frequently searched job titles are:

What cities in Wisconsin are hiring for Senior Data Engineer Python jobs?

Cities in Wisconsin with the most Senior Data Engineer Python job openings:

Infographic showing various Senior Data Engineer Python job openings in Wisconsin as of June 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution.

Sr. Data Engineer

WI • On-site

DTN (Data Transmission Network)
IT Services • 1 - 5K employees

$109K - $145K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Key responsibilities

  • Deliver trusted data sets and services from complex data sources to support DTN customers and internal stakeholders.

  • Design, build, and maintain batch and real-time streaming data pipelines and ingestion processes.

  • Support the development and delivery of modern data and analytics architecture through batch and streaming data integration, acquisition, and management solutions.


Job description

Job Description

DTN is seeking a results‑driven Senior Data Engineer to support the ingestion, quality, integrity, reliability, and governance of data across our enterprise platforms. This role plays a critical part in advancing DTN’s modern batch and real‑time streaming data architecture while enabling customers and internal stakeholders to leverage trusted, scalable, and secure data solutions.

Responsibilities
  • Deliver trusted data sets and services from complex data sources and environments to support DTN customers and internal stakeholders.
  • Support the development and delivery of modern data and analytics architecture through batch and streaming data integration, acquisition, and management solutions.
  • Design, build, and maintain batch and real‑time streaming data pipelines and ingestion processes that ensure data quality, reliability, and scalability.
  • Architect and manage high‑throughput event streaming solutions utilizing Apache Kafka and Amazon Kinesis.
  • Support customer and partner data infrastructure needs by troubleshooting technical issues and optimizing data environments.
  • Contribute to the continuous improvement of data management standards, practices, and architectural patterns.
  • Document data engineering processes, standards, and best practices to promote adoption across teams.
  • Ensure data governance, security, and compliance requirements are incorporated into solution delivery.
  • Identify opportunities to automate processes, reduce complexity, and improve operational efficiency through innovative data solutions.
  • Develop reference architectures, standards, and documentation to support consistent approaches to data acquisition, transformation, storage, and analytics consumption.
Qualifications
  • 7+ years of data engineering experience with batch and streaming pipelines, data ingestion, ETL/ELT processes, or 2+ years of software engineering experience.
  • Proven experience designing and implementing streaming data architectures, message brokering, and real‑time event processing using Apache Kafka and AWS Kinesis.
  • 4+ years of cloud experience, preferably across multiple cloud platforms.
  • Strong programming skills in Python or other modern development languages such as Java or Go.
  • Experience with ETL processes, SQL development, and data transformation workflows.
  • Experience working with relational databases such as Oracle, PostgreSQL, or MySQL.
  • Experience with AWS cloud services and cloud‑based data platforms such as Snowflake or AWS‑native solutions.
  • Ability to design solutions that support data transformation, governance, workload management, and complex data structures.
  • Experience with cloud architectures, highly available systems, and scalable solutions.
  • Familiarity with Agile development methodologies and CI/CD practices.
  • Experience with Docker and Kubernetes environments.
  • Bachelor’s degree in Computer Science or equivalent experience.
Additional Qualifications
  • Experience with stream processing frameworks such as Apache Flink or Spark Streaming.
  • Experience with front‑end technologies such as React, Angular, or Vue.
  • Experience developing RESTful APIs using Node.js or Python.
  • Experience consuming REST and GraphQL APIs.
  • Strong understanding of source control and versioning practices using Git.
  • Experience supporting enterprise data and analytics platforms in cloud‑native environments.
Benefits and Compensation
  • Competitive Salary (Targeted hiring base pay range: $109,400 – $145,800).
  • Unlimited PTO.
  • Flexible working hours.
  • Remote work model (position dependent).
  • Competitive Medical, Dental and Vision Insurance Plans.
  • 6% 401K matching.
  • Unlimited access to 13,000+ courses via learning platform to support employee career advancement.
  • Employee Assistance Program (EAP).
  • Opportunity for market‑competitive variable pay and benefits.
Equal Opportunity Employer

DTN is an Equal Opportunity Employer. We welcome and encourage applicants of all backgrounds, including minorities, women, veterans, and individuals with disabilities.

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