Location: Mt. Sterling, IL, or Chesterfield, MO
Department: Information Technology
Reports To: Director of Data & AI
Salary Range: $97,572 - $146,359

WHO YOU ARE

You’re analytical, a big picture thinker, and detail oriented. You’re enjoy high level strategy, and you’re able to present technical ideas to the business. You lead and mentor others, and you collaborate across teams. If this sounds like you, Dot Foods wants you on our team.

As a Senior Data Engineer, you will lead the architectural design of scalable data and AI solutions, ensuring alignment with business goals. You’ll develop best practices, collaborate cross-functionally, support data governance, and drive adoption of innovative technologies for secure, compliant, and efficient deployment of AI and data systems at scale, while engaging stakeholders across all levels.

WHAT YOU’LL DO

Lead and guide a team of data engineers, help with troubleshooting, task prioritization, and ensure the successful completion of data pipeline projects Automate data wrangling from a wide variety of sources (flat files, remote servers, databases, legacy systems, message queues, APIs and more) Take ownership of larger or more complex data projects, ensuring alignment with business needs and timely delivery, while supporting other team members on their tasks Collaborate with IT and business teams to understand data needs, ensuring that data pipelines and processes meet operational requirements and support business analytics. Leverage many technologies and methodologies as required—including scripting and programming languages Assist in the preparation, deployment, and maintenance of machine learning/artificial intelligence data pipelines

YOU MUST HAVE

Bachelor’s degree 4+ years of hands-on experience in data engineering or a related field Proficiency in IBM DataStage or equivalent data integration tool Ability in developing, deploying, and maintaining data processes and pipelines in Python 2+ years of experience in hybrid cloud environments Exceptional problem-solving skills and the ability to build and orchestrate code in numerous ways to support analytics deployment Effective interpersonal skills, with positive professional verbal and written skills

YOU MAY ALSO HAVE

Bachelor’s degree in Business Analytics, Computer Science, Mathematics, Statistics, or related field IBM Data Engineer certification Ability to work independently as well as within a team environment Effective project management and planning skills

ROLE SPECIFICS

Travel – Occasional overnight travel 1-3 nights per quarter for company meetings. Must have ability to travel independently as needed, without restriction by all modes of transportation, including car, plane, or train. Schedule – ability to work flexible hours; may include evening & weekend hours as needed

WHO WE ARE 

Dot Foods makes products more accessible and affordable to the food industry. We add efficiency to the supply chain and build strong partnerships with distributors, suppliers, and operators. Our company was created on a foundation of respect and dependability. People who are open to input, ask questions, embrace diversity, and seek innovative solutions thrive here. 

 

WHAT DOT CAN OFFER YOU

As a family-owned and-operated company since 1960, Dot Foods has created a strong family culture. We make everyone feel included and respected. In addition to an inclusive working environment, we will provide you with:

Competitive compensation package, including bonuses for successful performance Extensive benefits including medical, dental, 401k, and profit-sharing Significant advancement opportunities

Safety: This position assumes responsibility for the workplace safety of self and co-workers, and for the safety conditions of the work locations, exercise and promotes safe behaviors and show unyielding support of programs, rules, and policies regarding safety.

EOE/AA Employer: Dot believes all persons are entitled to equal employment opportunities. Dot will not discriminate against its employees or applicants for employment because of sex, race, color, religion, national origin, age, sexual orientation, disability, or veteran status or other basic classes protected by applicable federal or state law provided they are qualified for employment or for existing positions.