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Senior Data Engineer Python Jobs in Eau Claire, WI

Vultus Inc

Data Engineer

Seymour, WI · On-site

$116K - $140K/yr

Data Engineer Experience 2-5 years Job Type Full-time Job Summary We are looking for a skilled Data ... The ideal candidate should have strong experience in SQL, Python, ETL/ELT processes, cloud data ...

Xcel Energy

Senior/Principal Data Analyst

Eau Claire, WI

$85K - $107K/yr

Position Summary for Sr Data Analyst Responsible for defining, implementing and supporting advanced ... Programming: Develop efficient and high quality code; follow solid validation process to ensure ...

Menards, Inc.

Data Warehouse Developer

Eau Claire, WI · On-site

$48.75 - $66.75/hr

The Data Warehouse Developer is responsible for the design, development, and implementation of ... Strategy * PySpark, Python Skills & Requirements Qualifications Don't see a job that meets with ...

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All JobsData Engineer Python JobsSenior Data Engineer Python JobsSenior Data Engineer Python Jobs in Eau Claire, WI

Senior Data Engineer Python information

See Eau Claire, WI salary details

$80.2K

$125.1K

$173.3K

How much do senior data engineer python jobs pay per year?

As of Sep 14, 2026, the average yearly pay for senior data engineer python in Eau Claire, WI is $125,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,000.00 and $142,600.00 per year, depending on experience, location, and employer.

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.

Senior Data Engineer Python jobs near you
Infographic showing various Senior Data Engineer Python job openings in Eau Claire, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $125,136 per year, or $60.2 per hour.

Data Engineer

Seymour, WI • On-site

Vultus Inc
Software Development • 11 - 50 employees
Learn more about Vultus Incexternal

$116K - $140K/yr

Full-time

Posted 21 days ago

Job description

Data Engineer

Experience

2–5 years

Job Type

Full-time

Job Summary

We are looking for a skilled Data Engineer to design, develop, and maintain scalable data pipelines and data processing solutions. The ideal candidate should have strong experience in SQL, Python, ETL/ELT processes, cloud data platforms, and data warehousing.

Key Responsibilities
  • Design, develop, and maintain reliable data pipelines for batch and real-time data processing.
  • Build and optimize ETL/ELT workflows from multiple data sources.
  • Develop complex SQL queries, stored procedures, and data transformations.
  • Work with data warehouses, data lakes, and cloud-based data platforms.
  • Perform data cleansing, transformation, validation, and integration.
  • Monitor data pipelines and troubleshoot failures, performance issues, and data-quality problems.
  • Optimize data processing jobs and database queries for performance and scalability.
  • Implement data-quality checks and ensure data accuracy and consistency.
  • Collaborate with Data Scientists, BI Developers, Analysts, and Software Engineers.
  • Participate in data architecture and pipeline design discussions.
  • Maintain technical documentation for data pipelines, workflows, and data models.
  • Follow security, governance, and best practices for handling enterprise data.
Required Skills
  • Strong proficiency in SQL.
  • Strong programming experience in Python.
  • Hands-on experience with ETL/ELT pipelines.
  • Experience with data warehousing concepts and dimensional data modeling.
  • Experience with databases such as SQL Server, PostgreSQL, MySQL, or similar.
  • Experience working with cloud platforms such as Microsoft Azure, AWS, or GCP.
  • Understanding of data lakes and distributed data processing.
  • Experience with version control systems such as Git.
  • Strong understanding of data quality, data validation, and error handling.
Preferred Skills
  • Experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, or Databricks.
  • Experience with Apache Spark/PySpark.
  • Knowledge of Power BI and BI data models.
  • Experience with streaming technologies such as Kafka.
  • Knowledge of CI/CD and DevOps practices.
  • Experience working with REST APIs and integrating data from external systems.
  • Familiarity with data governance, security, and compliance.
Education
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Soft Skills
  • Strong analytical and problem-solving skills.
  • Good communication and collaboration skills.
  • Ability to work independently and as part of a team.
  • Strong attention to detail.
  • Ability to troubleshoot complex data issues.
Key Qualifications
  • 2–5 years of hands-on experience in Data Engineering.
  • Strong SQL and Python expertise.
  • Practical experience developing and supporting production data pipelines.
  • Good understanding of cloud data engineering and modern data architecture.