AI Data Engineering Specialist

• Build infrastructure and data pipelines required for optimal extraction, transformation and loading of data from a wide variety of sources
• Deploy complex eneterprise solutions to a wide range of data technology patterns and platforms
• Design, Engineer and orchestrate datasets with scale, supportability and reusability at the forefront of design
• Demonstrate and document solutions by using flowcharts, diagrams, code comments, data lineage, and technical and business metadata
• Partner with senior business stakeholders, functional analysts, and data scientists to ensure solutions meet or exceed requirements

Qualifications:

Basic Qualifications (Must Haves)
• Bachelor's Degree from an accredited institution in Computer Science or a related field
• Minimum five (5) years in IT experience
• Minimum three (3) year in cutting edge data platforms such as snowflake
• No relocation is offered for this position. All candidates must currently reside within 50 miles of one of the following locations: Beachwood, OH: Galesburg, MI: Houston, TX: Menomonee Falls, WI: Raleigh, NC: OR Moon Township, PA.
• This position requires access to export-controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must be a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158
• Must be authorized to work in the United States without company sponsorship now or in the future
Technical knowledge
• Advanced proficiency in data storage and processing technologies, including data lakes, data warehouses, time-series databases, and graph databases, across both on-premises and cloud environments.
• Experience with event-driven and streaming architectures, including Apache Kafka, MQTT, and HiveMQ, for real-time data ingestion and processing.
• Hands-on experience with enterprise analytics platforms, such as Palantir Foundry, for operationalizing data workflows, building analytical applications, and enabling data-driven decision-making at scale
• Familiarity with Unified Namespace (UNS) concepts for organizing and contextualizing industrial data across OT and IT systems.
• Extensive experience with cloud-native data platforms, including object storage, relational and NoSQL databases, distributed processing frameworks (e.g., Apache Spark), and containerized compute environments.
• Skilled in data integration methodologies, with hands-on experience in both batch (ETL/ELT) and real-time/on-demand (API, SQL-based) data ingestion and transformation.
• Expertise in data modeling, including dimensional models (Star, Snowflake, Data Vault) and normalized transactional models (3NF), applied across OLTP, OLAP, NoSQL, and Big Data ecosystems.
• Advanced programming capabilities in multiple languages for data manipulation and engineering, such as Python, Scala, SQL, and PL/SQL.
• Proficient in building and maintaining robust data pipelines, including orchestration, monitoring, data quality enforcement, and observability best practices.
• Intermediate to advanced experience with DevSecOps and CI/CD practices, including version control, automated testing, and deployment pipelines for data engineering workflows.
• Advanced data visualization skills, with the ability to design and deliver interactive analytics solutions using tools like Power BI, Grafana, R, and Python.
• Strong understanding of data governance, security, and compliance in enterprise and industrial data environments.

We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

Eaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws.

You do not need to disclose your conviction history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report.

To request a disability-related reasonable accommodation to assist you in your job search, application, or interview process, please call us at 1-800-836-6345 to discuss your specific need. Only accommodation requests will be accepted by this phone number.

We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Client-provided location(s): Beachwood, OH

Job ID: Eaton-48236Beachwood

Employment Type: OTHER

Posted: 2025-09-04T18:37:56