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Data Engineer Battery Jobs in Milwaukee, WI (NOW HIRING)

Senior Data Architect

Waukesha, WI

$67.25 - $90/hr

This role sits at the intersection of architecture, data engineering, and platform strategy-owning ... battery storage, and microgrid systems-software that is used, valued, and makes a real difference.

System Test Engineer Glendale, Wisconsin, 53217 Role Description: General: Execute in-house testing ... teams in meetings Battery Testing: Analysis and archive of measured data received from third ...

Bachelor's degree in Supply Chain, Operations, Engineering, or Business; APICS/ASCM (CPIM/CSCP) a ... battery/coolant handling. * Enforce workplace safety protocols in warehouses. Other Duties as ...

Provides data to support project management, business units, manufacturing, quality, supply chain ... ion battery, standby generator, energy storage system, lawn and turf care products through its ...

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Data Engineer Battery information

See Milwaukee, WI salary details

$43.8K

$127.8K

$174.9K

How much do data engineer battery jobs pay per year?

As of Aug 26, 2026, the average yearly pay for data engineer battery in Milwaukee, WI is $127,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $135,500.00 per year, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a data engineer battery?

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.

How does a data engineer battery 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.

Are data engineers in demand?

Data engineers are in high demand across industries due to the increasing reliance on data infrastructure, cloud platforms, and big data tools like Hadoop and Spark. Organizations seek skilled professionals to build and maintain data pipelines, often requiring knowledge of programming languages such as Python or SQL, making this a strong job market for qualified candidates.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for data infrastructure, cloud computing, and big data processing. Skills in programming languages like Python and SQL, along with experience with tools such as Apache Spark and Hadoop, enhance job prospects in this field.

What cities near Milwaukee, WI are hiring for Data Engineer Battery jobs?

Cities near Milwaukee, WI with the most Data Engineer Battery job openings:

Infographic showing various Data Engineer Battery job openings in Milwaukee, 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 $127,802 per year, or $61.4 per hour.

Senior Data Architect

Generac

Waukesha, WI

$67.25 - $90/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 18 days ago


Generac Power Systems rating

7.0

Company rating: 7.0 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

356th of 495 rated machine equipment manufacturers


Job description

We believe power is a promise - a shared commitment to be there for others when it matters most.

For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.


Ready to Power a Smarter World with us?


As aSenior Data Architecton Generac'sIndustrial Cloud team, you will play a critical role in designing and evolving cloud-scale data platforms that power our industrial IoT solutions. This role sits at the intersection of architecture, data engineering, and platform strategy-owning the design ofhighly available, highvolume data systems that ingest and serve telematics data from industrial energy assets in the field.

At Generac, we are committed to building sustainable, cleaner energy technology atscale.You'lljoin a collaborative, highimpact team working on cloud-hosted services thatmonitorandoptimizelargescale generators, battery storage, and microgrid systems-software that is used, valued, and makes a real difference.

Responsibilities:

  • Define and own the architecture for cloud-based data solutions, ensuring scalability, reliability, and high availability

  • Lead data architecture discussions and collaborate closely with engineering, product, ML, and crossfunctional stakeholders

  • Design, build, andmaintainproduction datastores supporting highspeed, highvolume industrial IoT and telematics data

  • Translate business and product requirements into conceptual, logical, and physical data models

  • Drive best practices for data reliability, performance tuning, partitioning, indexing, and data quality

  • Analyze how customers and systems use data,identifyinefficiencies, and propose architectural improvements

  • Coach and mentor engineers on data architecture best practices through design reviews, code reviews, and technical guidance

  • Clearly explain complex technical solutions to both technical and nontechnical audiences, including leadership

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

  • 8+ years of experience working across the data tier, from design through development and production support

  • 5+ years of experience in adata architectrole with strong grounding in enterprise data architecture concepts

  • Proven experience leading data architecture inproduction cloud environments(Azure preferred)

Preferred Qualifications:

  • Experience working withhighspeed, highvolume telematics or timeseries data

  • Familiarity withInfrastructure as Code, preferablyTerraform

  • Programming or scripting experience inPython, PowerShell, and/or TSQL

  • Experience supporting or enablingAI/ML projects

  • Knowledge ofdata governance, data privacy, and compliance(e.g., GDPR)

  • EnterpriselevelexpertisewithMicrosoft SQL Serveror similar relational databases

  • Handson experience with at least oneNoSQL database(e.g., keyvalue, document, graph, or column store)

  • Strong experience withdata warehouse, data lake, andlakehousedesign patterns

  • Experience designing andmaintainingdata pipelines

  • Deep knowledge of data modeling (conceptual, logical, physical)

  • Strong understanding of performance tuning, indexing, and partitioning strategies

  • Passion for modern data architecture, microservices, and cloud-native data platforms

  • A naturally curious, growthoriented mindset with a desire to mentor and elevate others

  • Excellent communication and interpersonal skills, with the ability to influence and collaborate across teams

Great Reasons to work for Generac

  • Competitive Benefits: Health, Dental, Vision,401kand many more

  • Make a positive impact.Generac has always been community-minded and dedicated to giving back. The company proudly offers a Volunteer Time Off program, inviting team members toparticipateincharitable volunteer opportunities on company time.

  • Build technology that matters:Be part of Generac's transformation into an energy technology leader-designing cloud and data platforms that support cleaner, more sustainable power solutions at scale, including generators, battery storage (BESS), and microgrid systems.

  • Own meaningful architecture at scale:This roleisn'tmaintenance-only-you'lllead rearchitecture efforts for highvolume, industrial IoT and telematics data systems, shaping the future of Generac's Industrial Cloud and Generac Link platforms.

  • Work with strong engineering talent in a collaborative culture:Join a team known for deep technicalexpertise, thoughtful design discussions, and a startuplike mindset within a large, stable organization-where autonomy, curiosity, and collaboration are truly valued.

  • Grow your impact and influence:As the senior data architecture leader,you'llmentor engineers, influence platform strategy, and expand your reach across product, ML, and engineering teams while helping define how data powers Generac's next generation of services.

Pay Transparency:

Generac is committed to fair andequitablecompensation practices.The salary range for this role is $100,300-160,500USD.This compensation willultimately bein line with the location in which the position is filled.Final compensation for this role will bedeterminedbyvarious factorssuch as a candidate's relevant work experience, skills,certificationsand geographic location.This role is eligible for variablecompensationincluding short-term and long-term incentives.

This position includes a comprehensive benefit package that includes medical, dental and vision plans; life, long-term disability, flexible spending and health savings accounts,accruedpaid time off, 8 paid Holidays, 2 floating holidaysand 401(k) retirement benefits.

Physical Demands: While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionallylift upto 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.(

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"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."


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