1

Senior Data Engineer Python Jobs in Reno, NV (NOW HIRING)

Data Engineer

Sparks, NV · On-site

$117K - $140K/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

Carson City, NV · On-site

$112K - $134K/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 ...

Senior Python Developer

Reno, NV · On-site

$121K - $163K/yr

... Senior Software Engineer to be responsible for analyzing, coding, writing, and running unit tests, and debugging complex service-oriented systems. You will work with Software Architects, Product ...

Role Overview We're seeking a Senior Engineer, Data Center Operations to lead site-level operations in a high-density, mission-critical environment. This role blends hands-on technical work with ...

Senior Data Center Operations Engineer

Reno, NV · On-site

$105K - $143K/yr

Role Overview We're seeking a Senior Engineer, Data Center Operations to lead site-level operations in a high-density, mission-critical environment. This role blends hands-on technical work with ...

Python Tutor

Reno, NV · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Expertise in SQL, Python, and Spark for data processing, automation, and custom integrations ... Knowledge of semantic layers, metrics stores, or analytics engineering frameworks. * Python ...

next page

Showing results 1-20

Senior Data Engineer Python information

See Reno, NV salary details

$80.8K

$126K

$174.5K

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

As of Jun 26, 2026, the average yearly pay for senior data engineer python in Reno, NV is $125,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $143,600.00 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, and why are they important?

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 specializing in 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 are popular job titles related to Senior Data Engineer Python jobs in Reno, NV? For Senior Data Engineer Python jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer Python jobs in Reno, NV look for? The top searched job categories for Senior Data Engineer Python jobs in Reno, NV are:

Data Engineer

Bespoke Labs

Sparks, NV • On-site

$117K - $140K/yr

Full-time

Posted 9 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 — 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 — 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 — 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