Explore 3 python data engineer jobs from 2 hiring companies in Glouster, OH, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Data Engineer Jobs

FirstEnergy

Illuminate USA

PACCAR

Onsite

FirstEnergy at a Glance &nbsp;
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We are a forward-thinking electric utility powered by a diverse team of employees committed to making customers’ lives brighter, the environment better and our communities stronger.  &nbsp;
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FirstEnergy (NYSE: FE) is dedicated to integrity, safety, reliability and operational excellence. Headquartered in Akron, Ohio, FirstEnergy includes one of the nation's largest investor-owned electric systems, more than 24,000 miles of transmission lines that connect the Midwest and Mid-Atlantic regions, and a regulated generating fleet with a total capacity of more than 3,500 megawatts.  &nbsp;
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About the Opportunity  &nbsp;
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This is an open position with FirstEnergy Service Co., a subsidiary of FirstEnergy Corp. [FEU]. 
 The&nbsp;position&nbsp;is&nbsp;within Construction &amp; Design Services and&nbsp;reports&nbsp;to&nbsp;the Supervisor or Reporting and Metrics in Program Support within the Construction and Design Services(C&amp;DS) organization.&nbsp;&nbsp;It&nbsp;can&nbsp;be located throughout the service territory and will be considered an in-office position.
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This&nbsp;position&nbsp;will&nbsp;analyze complex business needs&nbsp;related to C&amp;DS project&nbsp;data&nbsp;and&nbsp;answer critical&nbsp;questions with&nbsp;a&nbsp;focus on C&amp;DS key priorities and business initiatives.&nbsp;This position will&nbsp;generate and test hypotheses, create, explore and analyze datasets, develop data pipelines, create &amp;&nbsp;enhance reporting solutions, and build accurate predictive and prescriptive data models to understand trends and produce actionable insights across our business.
Additionally, this&nbsp;position will&nbsp;work&nbsp;across C&amp;DS&nbsp;to&nbsp;understand report&nbsp;and&nbsp;data&nbsp;needs&nbsp;and&nbsp;build&nbsp;solutions to&nbsp;support daily operations and ensure data governance.&nbsp;This position requires expertise in common business intelligence and visualization tools such as Power BI.
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The successful candidate will have strong communication and consultation skills to&nbsp;understand business needs across the organization. Ability to translate data into meaningful business models and visuals that utilize internal and external data sources that transform data into information, information into actionable insights and insights into&nbsp;business decisions.&nbsp;The&nbsp;selected candidate should&nbsp;have&nbsp;a&nbsp;strong eye for&nbsp;design&nbsp;and&nbsp;visuals and be&nbsp;willing or&nbsp;experienced to work in an agile methodology.
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Responsibilities Include:
<ul>
 <li>Understanding&nbsp;of&nbsp;business&nbsp;and&nbsp;technology&nbsp;organizations,&nbsp;resources,&nbsp;priorities,&nbsp;needs,&nbsp;and&nbsp;policies.</li>
 <li>Forge relationships with C&amp;DS&nbsp;business teams to&nbsp;develop customized business tools, visualizations and predictive and prescriptive models that continuously improve the execution of the capital portfolio. &nbsp;</li>
 <li>Ensure appropriate measurement points and values are established.&nbsp;</li>
 <li>Collaborate with IT, C&amp;DS Systems, Data Governance and business stakeholders to streamline access and build customized products.</li>
 <li>Work closely with IT and respective business owners to establish permissions to access other enterprise or domain data for reporting / visualization purposes.</li>
 <li>Developing predictive and prescriptive models using statistical techniques, software, and machine learning algorithms to forecast future trends and outcomes.</li>
 <li>Respond&nbsp;to&nbsp;ad-hoc&nbsp;reports/data&nbsp;requests&nbsp;from&nbsp;internal&nbsp;and&nbsp;external&nbsp;sources.</li>
 <li>Develop&nbsp;reports&nbsp;using platforms such as&nbsp;Oracle&nbsp;BIP, Toad Database, RapidMiner, Python, and&nbsp;other tools&nbsp;such&nbsp;as&nbsp;Power&nbsp;Bl</li>
 <li>Participate&nbsp;in&nbsp;periodic release&nbsp;process&nbsp;regression&nbsp;testing&nbsp;as&nbsp;needed.</li>
 <li>Build&nbsp;and&nbsp;maintain data&nbsp;models&nbsp;to&nbsp;enable&nbsp;and&nbsp;improve&nbsp;data-driven&nbsp;decision-making.</li>
 <li>Mine&nbsp;complex&nbsp;data sets&nbsp;to&nbsp;identify&nbsp;patterns&nbsp;and&nbsp;trends.</li>
 <li>&nbsp;Advise&nbsp;and&nbsp;consult with&nbsp;C&amp;DS&nbsp;and&nbsp;business stakeholders&nbsp;to&nbsp;review, refine,&nbsp;and&nbsp;improve business processes and practices based on an understanding of data.</li>
 <li>Support data governance structure and adherence.</li>
 <li>Help&nbsp;drive&nbsp;the&nbsp;use&nbsp;of&nbsp;data warehouses&nbsp;for&nbsp;insights&nbsp;and&nbsp;predictive&nbsp;analytics.</li>
</ul>
Qualifications include:
<ul>
 <li>Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or related field with minimum 10 years of relevant work experience.</li>
 <li>Relevant&nbsp;work&nbsp;experience includes&nbsp;business&nbsp;strategy, project / construction management or engineering.&nbsp; Specific experience in business analytics reporting &amp; visualizations is essential.</li>
 <li>Demonstrated proficiency in&nbsp;processing, manipulating, and&nbsp;generating insight&nbsp;from&nbsp;large&nbsp;data&nbsp;sets&nbsp;of structured and unstructured data.</li>
 <li>Experience&nbsp;in&nbsp;the&nbsp;implementation&nbsp;of&nbsp;complex&nbsp;programs&nbsp;and&nbsp;projects.</li>
 <li>Knowledge of statistical methods, predictive modeling techniques, and data mining algorithms is highly valuable.</li>
 <li>Understanding&nbsp;of&nbsp;statistical&nbsp;analysis&nbsp;to&nbsp;ensure&nbsp;metrics&nbsp;are&nbsp;accurate&nbsp;and&nbsp;meaningful.</li>
 <li>
 Proficiency in programming languages such as Python, R, or SQL. 
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 FirstEnergy takes a market-based approach to pay, which may vary depending on your location.&nbsp; In addition, your actual base salary will depend on various factors such as your skills, qualifications, and experience.
 The estimated pay range for this role is $111,350-$157,200.&nbsp; The pay range for certain locations, including the state of New Jersey, include a 20% differential to account for an increased cost of living, making the pay range $133,620 - $188,640. 
 &nbsp;</li>
</ul>
Benefits, Compensation &amp; Workforce Diversity   &nbsp;
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At FirstEnergy, employees are key to our success. We depend on their talents to meet the challenges of our changing business environment. We are committed to rewarding individual and team efforts through our total rewards philosophy which includes competitive pay plus incentive compensation, a company-sponsored pension plan, 401(k) savings plan with matching employer contribution, a choice of medical, prescription drug, dental, vision, and life insurance programs, as well as skills development training with tuition reimbursement. Please visit our website at www.firstenergycorp.com to learn more about all of our employee rewards programs. FirstEnergy proudly supports workforce diversity. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with a disability. No recruiters or agencies without a previously signed contract. Unable to sponsor or transfer H-1B visas at this time.   &nbsp;
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Safety   &nbsp;
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Safety is a core value for FirstEnergy and is essential to all of our business activities. We ensure employees have the tools, information, and processes to perform their duties in a manner that assures safety for themselves, their co-workers, our customers and the public. Our goals are to provide a safe work environment, to maintain an accident-free, injury-free workplace, and to promote and maintain public safety. To meet these goals, we dedicate ourselves to achieving world-class safety standards.

Senior Data Analyst

Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or related field with minimum 10 years of relevant work experience. Proficiency in Python, R, or SQL; experience in BI tools and data modeling.

Job DescriptionLocated in the heart of Central Ohio, Illuminate USA is transforming solar panel manufacturing from our cutting-edge facility in Pataskala. As a new standalone joint venture established by two global leaders in renewable energy, we’ve rapidly grown to over 1,500 associates and are now fully operational in our 1.1 million-square-foot factory. Our vision is to establish one of the largest solar panel manufacturing operations in the Western Hemisphere. This is an exciting time to join Illuminate USA as we continue to grow and innovate. We’re not just building solar panels—we’re building a team of dedicated, passionate associates eager to make a real impact. If you’re looking to be part of a collaborative, people-focused, and forward-thinking workplace, we want to hear from you! We offer competitive pay, comprehensive benefits, and continuous opportunities for career growth. Come join us on this journey to create a brighter, more sustainable future in the Columbus area.  We are looking for a Reliability Assurance Engineer for our solar panel manufacturing facility in Columbus, Ohio. This role is responsible for owning and implementing reliability assurance programs that provide continuous feedback on product reliability and long-term performance. Programs include Ongoing Reliability Testing (ORT), test-to-failure, and long-term monitoring studies.The Reliability Assurance Engineer will plan and execute programs, perform risk assessments, and track product performance to support quality decisions and risk management. This position ensures that reliability assurance programs are executed and documented in alignment with ISO 17025, relevant IEC standards (e.g., IEC 61215, IEC 61730), and internal quality requirements.Responsibilities:Daily Laboratory Testing Support<ul><li>Drive reliability assurance programs (e.g., ORT, test-to-failure, outdoor exposure monitoring).</li><li>Coordinate with laboratory operations to schedule program work against chamber capacity, equipment availability, and business priorities, ensuring on-time completion of deliverables.</li><li>Define program workflows for sample intake, labeling/traceability, baseline measurements (as applicable), periodic monitoring, and end-of-test disposition.</li><li>Drive test-to-failure execution plans including failure criteria, monitoring frequency, and documentation of failure modes/conditions in coordination with Reliability and Quality stakeholders.</li><li>Support containment and escalation when program data indicates abnormal degradation, emerging failure modes, or risk to product reliability.</li></ul>Standards Compliance &amp; Documentation<ul><li>Develop, update, and maintain program documentation (SOPs, work instructions, program plans, templates, and reporting formats) to ensure alignment with ISO 17025 and relevant IEC standards.</li><li>Ensure program records are complete, traceable, and audit-ready.</li><li>Support internal/external audits related to reliability program execution and records, working with Quality and laboratory leadership as needed.</li></ul>Program Management<ul><li>Define program-specific controls (e.g., control modules, baseline comparisons, periodic verification runs) to detect drift and protect data integrity over long program durations.</li><li>Own data and reporting for long-term outdoor exposure monitoring (trend analysis, degradation tracking, and standardized outputs).</li></ul>Reliability Assessment<ul><li>Analyze program data and generate routine and ad-hoc reports for Quality, including trends, risk indicators, anomalies, and recommended follow-up actions.</li><li>Maintain reliability program KPIs and dashboards (e.g., schedule adherence, degradation rate indicators, failure incidence, time-to-failure distributions where applicable).</li><li>Lead cross-functional communication of findings and recommendations to Quality and relevant stakeholders; support corrective action development and implementation with interdepartmental leaders.</li><li>Ensure all program activities are conducted in accordance with safety protocols and laboratory best practices.</li></ul>Continuous Improvement &amp; Innovation<ul><li>Identify and lead improvements to program efficiency, data quality, and reporting clarity (without compromising traceability or program rigor).</li><li>Mentor Associate Engineers and Technicians on consistent program execution, documentation quality, and disciplined data capture.</li></ul>Other Duties<ul><li>Perform additional tasks or projects as assigned by Managers, Quality leadership, or other superiors in support of laboratory and company objectives.</li></ul>Qualifications:Education &amp; Experience<ul><li>Bachelor’s degree in Engineering (e.g., Electrical, Mechanical, Materials, Industrial), Physics, or at least 8 years in a related technical field is required.</li><li>5&#43; years of experience in reliability testing, product testing, laboratory engineering, quality engineering, or a closely related role is preferred; experience in solar, automotive, or semiconductor industries is a plus.</li><li>Experience implementing recurring test programs (e.g., ORT), long-duration monitoring programs, or test-to-failure execution is strongly preferred.</li><li>Experience working under formal quality systems such as ISO 17025 and/or ISO 9001 is advantageous.</li></ul>Technical Proficiency<ul><li>Strong understanding of measurement principles, data acquisition, and test system behavior (e.g., I-V characterization, environmental testing, mechanical testing, or related reliability measurements).</li><li>Familiarity with PV module standards (such as IEC 61215 and 61730) or willingness to rapidly learn and apply them.</li><li>Proficiency with Microsoft Office (Excel, Word, PowerPoint) is required; experience with data analysis tools or scripting (e.g., Excel macros, Python, Minitab, JMP, or similar) is a plus.</li><li>Ability to design and interpret basic statistical analyses for long-term trending, degradation monitoring, and reliability reporting.</li></ul>Skills &amp; Abilities<ul><li>Strong analytical and problem-solving skills, with the ability to interpret reliability data and identify meaningful trends, risks, or anomalies.</li><li>High attention to detail and commitment to data integrity, traceability, and documentation quality.</li><li>Effective communication skills, with the ability to explain technical findings to both technical and non-technical stakeholders.</li><li>Strong coordination skills: ability to drive schedules, align stakeholders, and execute recurring programs reliably.</li></ul>Work Ethic &amp; Mindset<ul><li>Demonstrated reliability, punctuality, and ownership of assigned tasks and programs.</li><li>Commitment to safety, quality, and continuous improvement in all laboratory activities.</li><li>Curiosity and willingness to learn as laboratory capabilities and program expectations evolve.</li></ul>Illuminate USA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any protected status as defined by law.Illuminate is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Reliability Assurance Engineer

Bachelor’s degree in engineering; 5+ years reliability testing/quality engineering; ISO 17025 and IEC standards experience; strong data analysis.

Company Information 
 
PACCAR is a global technology leader in the design, manufacture and customer support of high-quality light-, medium-, and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates.  PACCAR also designs and manufactures advanced diesel engines, provides financial services and information technology, and distributes truck parts related to its principal business.  Whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services — you can develop the career you desire with PACCAR. Get started!
 
Kenworth Truck Company is the manufacturer of The World’s Best® heavy and medium duty trucks. Kenworth is an industry leader in providing fuel-saving technology solutions that help increase fuel efficiency and reduce emissions. The company’s dedication to the green fleet includes aerodynamic trucks, compressed and liquefied natural gas trucks, and medium duty diesel-electric hybrids. Kenworth is the first truck manufacturer to receive the Environmental Protection Agency’s Clean Air Excellence award in recognition of its environmentally friendly products.
 
Requisition Summary
PACCAR is seeking an experienced AI Engineer with a strong ability to build, optimize, and operationalize machine learning and AI systems across diverse data sources and business domains. The ideal candidate is enthusiastic about learning new AI technologies and applying them to empower internal customers and scale our intelligent solutions platform. The ideal candidate demonstrates strong business and communication skills and the ability to partner closely with Data Scientists, Data Engineers, Research teams, and business owners across both technical and non-technical groups to define key business problems, then develop, deploy, and maintain the AI models that solve them. In this role, you will serve as the expert in designing, implementing, and operating stable, scalable, and cost‑efficient machine learning pipelines—from feature engineering through model training, evaluation, deployment, and monitoring. Above all, you should be excited about leveraging advanced models, including classical ML, deep learning, and large language models, to answer business questions and drive measurable impact. The AI Engineer will design, develop, implement, test, document, and maintain large‑scale, high‑performance AI systems that support analytics, automation, and intelligent applications. You will build and manage production‑grade model pipelines using best practices in MLOps across Azure ML, Databricks, AWS SageMaker, or similar platforms. You will write efficient, scalable code and optimize model performance and inference workloads operating on large, complex datasets. The person in this position should be analytical, have an extremely high level of customer focus, and a passion for continuous improvement. The AI Engineer should be a motivated self‑starter who can work independently in a fast‑paced, ambiguous environment and who brings excellent communication skills to collaborate with business stakeholders in defining problems, designing solutions, and validating real‑world outcomes.
 
 Job Functions / Responsibilities   •    Design, implement, and support AI/ML infrastructure using Azure ML, Databricks, and related cloud services.   •    Build, deploy, and maintain machine learning pipelines, including data preprocessing, feature engineering, model training, validation, and monitoring. •    Develop and operationalize models for prediction, classification, NLP, computer vision, or recommendation systems based on business needs. •    Use notebooks, experiment tracking, and visualization tools (e.g., Azure ML Studio, MLflow, Jupyter) to enable transparent, reproducible AI workflows. •    Provide support for Agile projects and deliver models through CI/CD and MLOps pipelines. •    Ensure responsible AI practices, including security, compliance, fairness, and model explainability, are embedded in all solutions. •    Work with business stakeholders to translate requirements into AI solutions and measurable outcomes. •    Optimize model performance, inference latency, training efficiency, and compute cost. •    Improve foundational AI/ML procedures, standards, and documentation across experimentation, deployment, and monitoring. •    Comply with change control and model governance processes. •    Maintain audit compliance for data, model lineage, and experiment traceability. •    Support scheduled after-hours maintenance as needed. •    Ability to participate in an on-call rotation for production AI systems. •    Perform additional AI- and ML-related tasks.  •    Must meet physical requirements of the position with or without accommodation.   •    Other duties as assigned.   
Qualifications Required:  •    Bachelor’s degree in Computer Science, Data Science, Engineering, or related field. •    2–5 years of experience in machine learning engineering, AI systems design, or applied ML. •    Strong knowledge of supervised/unsupervised learning, model evaluation, and feature engineering. •    Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). •    Experience deploying and monitoring models in cloud environments (Azure ML, AWS SageMaker, or GCP Vertex AI). •    Experience building automated ML pipelines using MLOps tools (MLflow, Kubeflow, Azure ML pipelines, GitHub Actions). •    Familiarity with containerization and orchestration (Docker, Kubernetes). •    Understanding of prompt engineering, LLM workflows, and vector databases (e.g., Azure AI Search, Pinecone, Weaviate) is a strong plus. •    Experience integrating AI services such as Azure OpenAI, cognitive services, or custom model endpoints. •    Familiarity with Jira, DevOps, or other project tracking tools. •    Expertise in GitHub or DevOps continuous delivery pipelines. •    Strong software engineering fundamentals, including testing, logging, and performance tuning. •    Knowledge of data processing tools and distributed compute frameworks (Spark, Databricks, Pandas). •    Excellent problem-solving skills and ability to investigate complex model or pipeline issues. •    Experience with model explainability, monitoring, responsible AI frameworks, or governance is a plus.  
Education/Training: Bachelor’s degree in computer science or related field required. Azure AI Engineer certification or equivalent preferred.
PACCAR is an Equal Opportunity Employer/Protected Veteran/Disability

AI Engineer (Chillicothe, OH, US, 45601-8829)

AI Engineer

2–5 years in machine learning engineering; Python; ML frameworks; cloud deployment; MLOps; Docker/Kubernetes; data processing; problem solving.

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