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Senior Data Engineer Python Jobs in Eau Claire, WI

Data Engineer

Menomonie, WI ยท On-site

$113K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Menomonie, WI

$113K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Warehouse Developer

Eau Claire, WI ยท 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 ...

Data Scientist

Cornell, WI ยท On-site

$74K - $111K/yr

Data Scientist Position Summary The Data Scientist builds, validates, and supports the deployment ... Strong Python/R programming and SQL skills * 3+ years of experience building and validating ML ...

Data Scientist

Cornell, WI ยท On-site

$74K - $111K/yr

Data Scientist Position Summary The Data Scientist builds, validates, and supports the deployment ... Strong Python/R programming and SQL skills * 3+ years of experience building and validating ML ...

Data Scientist

Cornell, WI ยท On-site

$74K - $111K/yr

Position Summary The Data Scientist is responsible for the evaluation of deployed interventions ... Strong Python/R programming and SQL skills * 3+ years of experience with evaluation design and ML ...

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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 Aug 6, 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.

How much does a senior data engineer Python make?

A senior data engineer with Python skills typically earns between $100,000 and $150,000 annually, depending on experience, location, and industry. Compensation may also include bonuses, stock options, and benefits, especially in competitive markets or tech companies.

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.

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.

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 job categories do people searching Senior Data Engineer Python jobs in Eau Claire, WI look for? The top searched job categories for Senior Data Engineer Python jobs in Eau Claire, WI are:
Infographic showing various Senior Data Engineer Python job openings in Eau Claire, WI as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 18% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $125,136 per year, or $60.2 per hour.

Data Engineer

Bespoke Labs

Menomonie, WI โ€ข On-site

$113K - $135K/yr

Full-time

Re-posted 19 days ago


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments โ€” and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience โ€” pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure โ€” observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines