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Data Engineer Battery Jobs in Reno, NV (NOW HIRING)

Panasonic

Forward Deployed Data X Manager

Sparks, NV · On-site

As part of our team, you'll help push the limits of battery technology, enhancing performance and ... Lead and mentor forward-deployed data engineers, analytics engineers, and data scientists * Manage ...

MSCCN

Field Service Engineer - Critical Power

Reno, NV · On-site

$75K - $100K/yr

The Field Service Engineer is responsible for the installation, startup, commissioning, maintenance ... Perform installation, startup, and commissioning of lithium battery systems for data center and/or ...

Panasonic

Manufacturing Engineer II

Sparks, NV

$74K - $96K/yr

With superior battery designs and the fastest manufacturing lines in the world, Panasonic is ... Utilizes OEE and other production data to effectively manage tasks and activities. * Demonstrating ...

Panasonic

Manufacturing Engineer II

Sparks, NV · On-site

$74K - $96K/yr

With superior battery designs and the fastest manufacturing lines in the world, Panasonic is ... Utilizes OEE and other production data to effectively manage tasks and activities. * Demonstrating ...

Panasonic

Quality Control Engineer I

Sparks, NV · On-site

With superior battery designs and the fastest manufacturing lines in the world, Panasonic is ... Supports with the analyzing and evaluating process input/output data to reduce defects. * Providing ...

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All JobsData Engineer Battery JobsData Engineer Battery Jobs in Reno, NV

Data Engineer Battery information

See Reno, NV salary details

$44.4K

$129.3K

$177K

How much do data engineer battery jobs pay per year?

As of Aug 1, 2026, the average yearly pay for data engineer battery in Reno, NV is $129,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $137,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Engineer Battery, and why are they important?

To thrive as a Data Engineer Battery, you need strong expertise in data modeling, ETL processes, and a background in computer science, engineering, or a related field. Familiarity with tools like SQL, Python, Spark, and cloud platforms such as AWS or Azure, along with experience in battery technology data systems, is typically required. Excellent problem-solving, communication, and teamwork skills help you collaborate with multidisciplinary teams and translate complex requirements into effective data solutions. These combined skills ensure that large-scale battery data is efficiently managed, enabling accurate analysis and supporting advancements in battery technology.

What does a Data Engineer Battery do?

A Data Engineer Battery specializes in designing, building, and maintaining data systems that support the collection, storage, and analysis of battery-related data. They work with large datasets from battery testing, manufacturing, and performance monitoring to ensure data quality and accessibility. Their role often involves developing data pipelines, integrating various data sources, and collaborating with data scientists and engineers to optimize battery technology and improve product performance. Data Engineer Battery professionals play a key role in advancing battery research and development by enabling data-driven insights.

How does a Data Engineer specializing in battery technology typically collaborate with cross-functional teams?

As a Data Engineer in the battery industry, you will frequently work alongside data scientists, battery engineers, and product development teams to build and maintain data pipelines that collect, process, and analyze battery performance data. Collaboration is essential for aligning data infrastructure with the needs of R&D and operations, enabling accurate modeling and predictive analytics. You may also partner with IT and software development teams to ensure data quality, scalability, and security, ultimately supporting innovation and improved battery technologies.

What is the difference between Data Engineer Battery vs Data Engineer?

AspectData Engineer BatteryData Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; certifications like AWS, GCP, or AzureBachelor's in CS, Data Science, or related field; certifications like AWS, GCP, or Azure
Work EnvironmentTech companies, battery manufacturing, automotive, energy sectorsTech companies, finance, healthcare, retail, and other industries
Employer & Industry UsageSpecialized in battery tech and energy storage industriesBroad industry application across various sectors

Data Engineer Battery focuses on data systems specific to battery technology and energy storage, while Data Engineer has a broader scope across multiple industries. Both roles require similar credentials and work environments but differ in industry specialization.

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

Software Engineer - ML/Computer Vision (Battery Sorting)

Redwood Materials

Mccarran, NV

Other

Re-posted 9 days ago

Redwood Materials rating

7.6

Company rating: 7.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

22nd of 88 rated recycling and waste

Job description

Software Engineer, ML/Computer Vision (Battery Sorting)

The Battery Sorting team at Redwood Materials is building a world-class, ML-enabled sorting platform that uses computer vision and machine learning to classify and route thousands of end-of-life batteries per hour across diverse chemistries and form factors. This role sits at the intersection of software engineering and machine learning, with direct ownership of the production systems powering automated battery sorting on the factory floor. The ideal candidate is equally comfortable debugging a production incident as iterating on a model, and will have the opportunity to generate patents in automated battery classification. This is a high-impact, highly visible role with immediate real-world application in advancing the energy transition.

Hours

Full-time | Schedule may vary depending on site operational needs; flexibility required

Responsibilities will include:

  • Develop, test, and maintain production software systems powering automated battery sorting, spanning ML inference, image acquisition, sensor integration, and hardware-adjacent control interfaces
  • Train and deploy computer vision models for battery chemistry classification, including dataset annotation, preprocessing, and evaluation within established data pipelines
  • Build and maintain services and APIs that connect ML outputs to downstream systems including MES, HMI, and PLC/controls interfaces
  • Own observability across the production software stack through structured logging, metrics dashboards, alerting, and on-call triage for inference pipelines and supporting services
  • Monitor model performance in production to catch regressions or distribution shifts and drive iterative improvements through data analysis and retraining
  • Contribute to infrastructure-as-code and CI/CD workflows to validate, version, and deploy application code and ML model artifacts to production environments
  • Collaborate cross-functionally with Controls, Hardware, Manufacturing, DevOps, and IT teams to translate operational needs into software and model improvements

Desired Qualifications:

  • B.S. in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience
  • 2+ years of industry experience working with machine learning models, preferably in computer vision
  • Hands-on experience with ML frameworks and libraries such as PyTorch and OpenCV
  • Experience contributing to production codebases and pipelines with an emphasis on clean, well-documented, and well-tested code
  • Experience designing and tracking ML experiments using tools such as MLflow
  • Familiarity with edge deployment or model optimization techniques for inference (e.g., quantization, TensorRT, ONNX Runtime) in latency-sensitive or resource-constrained environments
  • Experience with OCR, image classification pipelines, or multi-sensor and multimodal fusion
  • Experience working in or alongside industrial, manufacturing, or operations environments where software interacts with physical systems
  • Strong cross-functional communication skills and ability to prioritize and execute in a fast-paced, dynamic environment
  • A passion for sustainability and making the world a better place!

Working Conditions:

  • Factory floor environment; work schedule may vary depending on site operational needs and flexibility is required
  • Willingness and ability to travel to Reno, NV as needed
  • Additional working conditions to be confirmed with Hiring Manager

What Redwood Materials employees say

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Hours and flexibility

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