Senior Data Engineer

Gordon Food Service

Senior Data Engineer guiding the technical strategy and development for GFS's Data Platform. Mentoring team members and driving innovative solutions for data engineering challenges.

Posted 6/27/2026full-timeWyoming • Wyoming • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AirflowApacheCloudGoogle Cloud PlatformJavaKafkaPostgresPythonSQLTerraform

About the role

Key responsibilities & impact

Provide expertise and guidance in defining the technical strategy and direction for the Data Platform environment at GFS, including tools, techniques, and processes.
Provide guidance to the scrum master and product owner to determine priority and effort for features.
Mentor to other team members in the appropriate use and application of new and existing tools and processes.
Design and build technology solutions across multiple initiatives at the same time.
Automate repetitive data engineering tasks and build proactive monitoring and alerting systems.
Collaborate with others inside and outside of IT to rapidly architect, design, prototype, and implement technical architectures to deliver insightful solutions.
Translate business analytics problems into technical solutions that yield actionable recommendations across multiple, diverse domains.
Document technical designs and systems thoroughly to ensure long-term sustainability and ease of knowledge transfer within the team.
Help build a high-performing team focused on results and relationships within and outside of the team.
Perform other duties as assigned.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Technology, Advanced Analytics, Statistics, or related field required.
At least 8 years of experience in technical design, development, and delivery of data engineering technical solutions.
Highly experienced with cloud computing platforms, preferably Google Cloud Platform (GCP).
Deep experience with Change Data Capture (CDC) processes (Qlik Replicate preferred) and relational database management/optimization (specifically PostgreSQL and SQL Server).
Highly experienced in modern data movement technologies (e.g. serverless, real-time, as needed computing, low latency data movement, high volume data management, etc...).
Proven track record as a self-starter and quick learner with strong documentation skills, capable of taking ownership of existing systems.
Expert in modern devops practices to deliver code quickly with a high degree of confidence and quality.
Business Influence - Ability to present and explain technical and complicated information in an easy to understand format, both verbally and in writing.
Highly experienced in understanding and developing complex data models.
Knowledge of data governance, expectations and leading practices.
Business Judgement: High degree of ingenuity, creativity, and innovation to solve unique and complex business challenges; evaluate alternative solutions, considering costs and benefits.
Preferred languages include but are not limited to Python, Terraform, SQL and Java.
Preferred tool experience include but not limited to Apache Airflow, Kafka, Qlik Replicate, PostgreSQL, SQL Server, Solarwinds DPA.
Experience working with the SAP data model.
Experience working with artificial intelligence / machine learning platforms and practices.

Benefits

Comp & perks

Professional development opportunities
Hybrid schedule

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringtechnical designcloud computingChange Data Capturerelational database managementdata movement technologiesdevops practicesdata modelingPythonSQL

Soft Skills

mentoringcollaborationdocumentationbusiness influencebusiness judgementself-starterquick learnercreativityinnovationownership

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Information TechnologyBachelor’s degree in Advanced AnalyticsBachelor’s degree in Statistics