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

python-data-engineer

Python Data Engineer

Chillicothe

Portsmouth

Ironville

Circleville

Piketon

Washington Court House

Lancaster

Ashland

Jackson

Athens

Ironton

Wheelersburg

Wellston

Hillsboro

Greenfield

Logan

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Python Data Engineer Jobs

Air Transport Services Group

OCLC

PACCAR

Onsite

Hybrid

Perform records/status review in one or more main areas of focus to support Aircraft Acquisitions and Lease Return efforts:  Airworthiness Directives / Service Bulletin, Maintenance Program Document/ Last Done Next Due, STC, and Repair Records.
Perform repair or modification design, engineering analysis and substantiation, and develop appropriate technical documents, such as repair approvals, drawings, reports, and specifications.  Support growth through business development activities and continuous improvement initiatives.
Required Job Skills:
<ul>
<li>BS Degree in Engineering, or related field, orBS Degree in Engineering, or related field or,</li>
<li>AS Degree in Engineering, or related field, and two (2) years of relevant experience or,</li>
<li>Relevant experience is defined as that within the aviation industry, e.g. airline, OEM or MRO.</li>
<li>Two (2) years’ experience in aircraft maintenance in one of the following areas:  Structures, Avionics or Systems.  Aircraft maintenance planning, manufacturing and repair experience will also be considered.  </li>
</ul>
Preferred Job Skills:
<ul>
<li>MBA or Advanced Degree in area of specialization</li>
<li>FAA DER</li>
<li>Management Training or Experience</li>
<li>Basic knowledge of digital signal processing techniques, algorithm development, software coding and simulation/modeling using MATLAB, python or equivalent</li>
</ul>

ENGINEER AC DATA ASSET

Engineer AC Data Asset

BS or AS in Engineering with 2 years aviation experience; aircraft maintenance in Structures/Avionics/Systems; repair/modification design experience; MBA or FAA DER preferred.

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.

Oclc

<div><h1>Together we make breakthroughs possible. </h1></div><div>At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You’ll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world. </div><h1>Why join OCLC? </h1>OCLC is consistently recognized as a best place to work by several independent programs. We recognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions—performance, experience, and skills—along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being.<ul><li>We know the best ideas don’t always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We’re committed to your success—both personally and professionally. Hybrid work environment: For many roles, three days a week on-site, with occasional additional days based on business needs. </li></ul><ul><li>Free use of our on-site ﬁtness center, gym sports, group exercise classes, and game room </li></ul><ul><li>Onsite catering and cafeteria subsidized by OCLC </li></ul><ul><li>Health and wellness events </li></ul><ul><li>Work environments with individual and team spaces and the latest technology tools </li></ul><ul><li>Paid parental leave and adoption assistance </li></ul><ul><li>Tuition reimbursement and Public Service Loan Forgiveness eligibility </li></ul><ul><li>Company-subsidized pricing on local tickets and memberships </li></ul>Join us in transforming how people everywhere access information and be part of a mission-driven team that makes a global impact. <h1>The job details are as follows:</h1>OCLC is seeking a Software Search Engineer to join our dynamic development team focused on enhancing search capabilities within WorldCat and other OCLC products. This role involves high-level design, development, and optimization of search systems, contributing directly to the core functionality that powers global library discovery.Key Responsibilities<ul><li>Analyze, design, develop, and test software programs and systems with a focus on search technologies.</li><li>Translate business and technical requirements into scalable, maintainable code using industry-standard programming practices.</li><li>Collaborate with cross-functional teams to understand product requirements and delegate development tasks effectively.</li><li>Lead the design and implementation of new features and enhancements across multiple system modules.</li><li>Conduct and participate in unit, system, performance, and acceptance testing; recommend and implement improvements.</li><li>Champion innovation in search technologies, staying current with emerging trends and tools.</li><li>Drive the development and interpretation of technical requirements and specifications</li></ul>Required Qualifications<ul><li>Bachelor’s degree in Computer Science or a related field.</li><li>Minimum of 4 years of professional software development experience.</li><li>Proficiency in Java, Scala, and Python.</li><li>Expert-level knowledge in:<ul><li>Java, Object-Oriented Design </li><li>Spring Boot, Spring Framework, Gradle</li><li>RESTful web services</li><li>Search technologies including full-text search and indexing (e.g., Lucene, Solr)</li><li>Large-scale search systems and search architecture</li></ul></li><li>Experience with Big Data technologies and the Hadoop ecosystem.</li><li>Solid understanding of Linux/Unix environments and database design principles.</li><li>Strong communication skills—oral, written, and presentation.</li><li>Creative problem-solving and innovative thinking.</li><li>Proven ability to work effectively in a collaborative team environment.</li></ul>Highly Desired Skills<ul><li>Experience with AI-assisted coding tools (e.g., Cursor, Claude Desktop).</li><li>Familiarity with Graph Search and vector databases.</li><li>Hands-on experience developing applications using Large Language Models (LLMs).</li><li>Monitoring and observability tools such as New Relic.</li><li>Experience with NoSQL databases (MongoDB, Cassandra, DynamoDB).</li><li>Proficiency in relational databases (MySQL, PostgreSQL).</li><li>Knowledge of containerization and orchestration (Docker, Kubernetes).</li><li>Expertise in performance optimization and stress testing.</li></ul>

Software Engineer

Bachelor's in CS or related field; 4+ years in software development; proficient in Java, Scala, Python; Spring, REST, Lucene/Solr; Big Data/Hadoop; Linux; DB design; strong communication and collaboration.

Python Data Engineer Jobs in Waverly, OH, US | HiringCafe: every job on earth

Python Data Engineer Jobs in Waverly, OH, US

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