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Data Engineering Jobs in Reno, NV (NOW HIRING)

Bespoke Labs

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 ...

Bespoke Labs

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 ...

Socure

Analytics Engineer

Carson City, NV

You will collaborate closely with Data Engineering, who manage the source-to-mesh pipelines, and build everything needed to deliver clean, reliable, analytics-ready data into the BI workspace. This ...

Panasonic

Forward Deployed Data X Manager

Sparks, NV · On-site

Lead and mentor forward-deployed data engineers, analytics engineers, and data scientists * Manage execution under real-world factory constraints * Travel and extended on-site assignments are a core ...

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All JobsData Engineering JobsData Engineering Jobs in Reno, NV

Data Engineering information

See Reno, NV salary details

$46K

$165K

$243.5K

How much do data engineering jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data engineering in Reno, NV is $165,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What jobs make $1,000,000 a year?

In data engineering, earning $1,000,000 annually is rare and typically involves senior roles such as lead data engineers or those working in high-paying industries like finance or technology, often with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Most high earners in this field also supplement income through equity, bonuses, or consulting. Such compensation levels are uncommon and usually require a combination of expertise, strategic position, and company size.

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

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Reno, NV? The most popular types of Data Engineering jobs in Reno, NV are:
What are popular job titles related to Data Engineering jobs in Reno, NV? For Data Engineering jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Reno, NV look for? The top searched job categories for Data Engineering jobs in Reno, NV are:
What cities near Reno, NV are hiring for Data Engineering jobs? Cities near Reno, NV with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Reno, NV as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,000 per year, or $79.3 per hour.

Data Engineer

Bespoke Labs

Sparks, NV • On-site

$117K - $140K/yr

Full-time

Posted 10 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

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