Data & AI Engineer

Position Description

This is a contract position. Extension may be considered based on business need and performance, but there is no guarantee of permanent employment.
Purpose
This position is responsible for designing, developing, and maintaining the data pipelines, infrastructure, and systems that enable reliable data integration, transformation, and delivery across Teichert’s enterprise data platform. The Data & AI Engineer partners with data scientists, analysts, and AI engineers to ensure data is high-quality, well-governed, and ready to support analytics, AI, and business intelligence, and applies foundational AI and agent-building skills to deliver solutions to business problems. This role sits within the Data & Technology Solutions department and contributes to the build-out of Teichert’s enterprise data platform and AI capabilities. 

Focus & Scope
Essential duties and responsibilities, i.e. those which are basic, necessary, and an integral part of the job, are indicated below:

1. Designs and develops data pipelines that extract data from various sources, transforms it into the desired format, and loads it into Teichert’s data platform. 
2. Integrates data from databases, data warehouses, APIs, and external systems, including telematics, work order, and other operational systems; ensures data consistency and integrity during integration, performing validation and cleaning as needed; develops and maintains APIs as needed to enable data exchange between systems. 
3. Applies foundational AI and agent-building skills, such as working with large language models, basic tool use, and retrieval-augmented generation, to support business use cases that require AI and data platform features. 
4. Serves as a visible ambassador for data and AI across the organization. 
5. Implements data quality checks and validations within pipelines to ensure accuracy, consistency, and completeness; partners with DAAI leadership on data governance practices. 
6. Optimizes data pipelines and processing workflows for performance, scalability, and efficiency; monitors and tunes data systems and identifies and resolves performance bottlenecks. 
7. Collaborates with data scientists and analysts to optimize models and algorithms for data quality, security, and governance; supports delivery and educates end users on data products. 

 
Relationships, Qualifications and Requirements, & Competencies
 
Key Relationships 

Reports To:  

• Senior Data, Analytics & AI Manager 

Direct Reports:  

• None 

External Clients: 

• Refineries and Trucking Companies 

Internal Clients: 

• Data, Analytics & AI team members, Data & Technology Solutions teams, business leaders and stakeholders, AI Community of Practice members 

 
Role Qualifications & Requirements             
 
Education:  

• Bachelor’s degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related field. 

Experience and Industry Expertise:  

• Minimum 5 years of experience in data engineering, data management, or a related field, with demonstrated expertise in data integration, pipeline development, data quality, and generative AI and agentic AI use. 
• Experience in asset-intensive industries such as construction, mining, energy, transportation, or manufacturing is preferred. 

 
Specific Job Requirements: 

• Successful completion of pre-employment drug, alcohol, and background investigation. 
• Ability to build trust and rapport quickly with employees at all levels, demystifying data and AI for non-technical audiences, and championing responsible adoption through day-to-day partnership. 
• Demonstrated expertise in designing, building, and maintaining scalable data pipelines and ETL/ELT processes. 
• Proficiency with cloud data platforms and services such as Azure and Databricks; experience with modern data warehousing and data architecture concepts. 
• Strong programming skills in Python and SQL; working knowledge of additional languages (e.g., Java, R) is a plus. 
• Hands-on experience applying AI and building foundational AI agents (e.g., using large language models, basic tool use, or retrieval-augmented generation) to real use cases required. 
• Experience with MLOps/AIOps practices for deploying, monitoring, and maintaining models and data/AI pipelines in production preferred. 
• Experience with version control tools (e.g., GitHub, Azure DevOps), Agile software development best practices, AI-assisted coding tools (e.g., Claude Code) to accelerate development; and data visualization platforms (e.g., Power BI, Tableau) preferred. 
• Ability to collaborate across teams of varying technical backgrounds to support delivery. 
• Strong problem-solving and debugging skills, including the ability to diagnose issues in unfamiliar code or systems. 
• Ability to translate between technical, business, and executive stakeholders on data sources, data management concepts, and analytical approaches. 
• Ability to preserve confidential and proprietary information and successfully avoid conflicts of interest. 
• Must be able to prioritize, manage multiple workstreams, and recognize when to seek direction. 

 
Competencies             

• Data, Analytics & AI 
• Building Relationships 
• Communication 
• Initiative 
• Dependability 
• Judgement/Decision Making 

 
Equipment Used, Physical Demands, and Work Environment

Equipment Used:

• General office equipment, telephone, automobile, personal protective equipment (i.e. safety glasses, hearing protection) when visiting plants.  

Physical Demands & Work Environment: The physical demands and work environment characteristics are representative of those that must be met by an employee to successfully perform the essential functions of this job.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  

• Physical:  Sitting for long periods of time working on the computer or attending meetings. Job site visits require walking on uneven ground, steep slopes, and exposure to extreme temperature and/or humidity.  Some lifting of materials and equipment up to 20 lbs.  
• Work Environment:  Typical office environment with adequate temperatures and lighting, low levels of noise. Demands of meeting tight deadlines. Exposed to the conditions of job sites which can include loud noise, dust, fumes, and extreme weather conditions prevalent at the time. May work various hours, including early mornings, dusk or evenings. 

 
BASE SALARY RANGE:
$120,000.00 - $168,000.00
The range displayed reflects the range the company reasonable expects to pay for the position. The actual base salary is subject to variation due to the role, level, geographic location, relevant education, training, or experience, among other factors.

Employer Disclosure Statement  
The above statements and job description is intended to describe the nature and level of work being performed within this job.  They are not intended to be an exhaustive list of all responsibilities, duties, and tasks.  Other similar or additional duties are performed as assigned.

Equal Opportunity Employer
Teichert and its subsidiaries pride themselves on being an Equal Opportunity Employer. Individuals seeking employment at our company are considered without regards to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by federal, state or local laws.

Applicants with disabilities may be entitled to reasonable accommodation.  A reasonable accommodation is a change in the way things are normally done that will ensure an equal employment opportunity without imposing an undue hardship on the company.  If you are an applicant with a disability, please inform Robert Maxey ([email protected]) if you need assistance completing any forms or to otherwise participate in the application process.

Notice to Staffing Agencies
Teichert, Inc. and its subsidiaries ("Teichert") will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Teichert, including unsolicited resumes sent to a Teichert mailing address, fax machine or email address, directly to Teichert employees, or to Teichert’s resume database will be considered Teichert property. Teichert will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Teichert will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. Agencies must obtain advance written approval from Teichert’s recruiting function to submit resumes, and then only in conjunction with a valid fully-executed contract for service and in response to a specific job opening. Teichert will not pay a fee to any Agency that does not have such agreement in place. Agency agreements will only be valid if in writing and signed by Teichert’s Human Resources Representative or his/ her designee. No other Teichert employee is authorized to bind Teichert to any agreement regarding the placement of candidates by Agencies.