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Data Engineer Airflow Jobs in Wyoming (NOW HIRING)

$126K - $171K/yr

The Senior Data Engineer guides the development of GFS' Data Platform consisting of the data lake ... Preferred tool experience include but not limited to Apache Airflow, Kafka, Qlik Replicate ...

Data Engineer Airflow information

What does a data engineer specializing in Airflow do?

A Data Engineer specializing in Airflow is responsible for designing, building, and maintaining data pipelines using Apache Airflow, an open-source workflow orchestration tool. Their main job is to automate, schedule, and monitor complex data workflows, ensuring data moves reliably between systems and is processed efficiently. They often collaborate with data scientists, analysts, and other engineers to make sure that data is accessible, accurate, and up to date for business needs. Expertise in Airflow helps streamline data operations, optimize performance, and improve data pipeline reliability.

How does a data engineer specializing in Airflow typically collaborate with data scientists and analysts?

Data Engineers working with Airflow play a crucial role in enabling data scientists and analysts to access reliable, up-to-date data. They design and maintain ETL pipelines that automate data movement and transformation, ensuring data is clean and available for analysis. Collaboration often involves gathering requirements, troubleshooting pipeline issues, and optimizing data workflows to meet the needs of downstream users. Effective communication and documentation are essential, as data engineers must align technical solutions with the analytical goals of the broader team.

What are the key skills and qualifications needed to thrive as a data engineer specializing in Airflow, and why are they important?

To thrive as a Data Engineer with an Airflow focus, you need strong programming skills in Python, expertise in data pipeline design, and experience with distributed systems, often supported by a degree in computer science or a related field. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and database technologies, as well as certifications in cloud data engineering, are typically required. Outstanding problem-solving, attention to detail, and effective communication help you collaborate on complex data workflows and troubleshoot issues efficiently. These skills ensure robust, scalable, and reliable data infrastructure, enabling organizations to make data-driven decisions with confidence.

What is the difference between Data Engineer Airflow vs Data Engineer?

AspectData Engineer AirflowData Engineer
Primary FocusWorkflow orchestration and pipeline automation using AirflowData collection, storage, transformation, and pipeline development
Required SkillsPython, Airflow, ETL processes, cloud platformsSQL, Python, ETL, data modeling, cloud services
Work EnvironmentData teams, cloud environments, automation pipelinesData warehouses, big data platforms, cloud infrastructure
CertificationsAirflow certifications, Python, cloud certificationsSQL, cloud certifications, data engineering certifications

While both roles involve data pipeline work, Data Engineer Airflow specializes in designing and managing workflows with Airflow, focusing on automation and orchestration. In contrast, Data Engineer has a broader scope, including data storage, transformation, and pipeline development across various tools and platforms.

What are popular job titles related to Data Engineer Airflow jobs in Wyoming?

For Data Engineer Airflow jobs in Wyoming, the most frequently searched job titles are:

What job categories do people searching Data Engineer Airflow jobs in Wyoming look for?

The top searched job categories for Data Engineer Airflow jobs in Wyoming are:

Infographic showing various Data Engineer Airflow job openings in Wyoming as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

$126K - $171K/yr

Full-time

Re-posted 7 days ago


Gordon Food Service rating

7.1

Company rating: 7.1 out of 10

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Job description

Welcome to Gordon Food Service! We are excited that you are thinking about opportunities with us, and we have an amazing story to share. See below for a quick glance of who we are and the impact you could have on the food service industry. There's a seat at our table for you...
Position Summary:
The Senior Data Engineer guides the development of GFS' Data Platform consisting of the data lake, analytics, enterprise data sandboxes, and certified internal data products. Identifies and translates Big Data challenges into technical approaches yielding actionable recommendations across multiple, diverse domains. Helps define the team's technical design principles and has the tenacity to implement them.
Guides the Data Engineering team in their collaboration with teams across IT as well as the organization. Contributes to the design and architecture of Data Engineering technical solutions in an agile and incremental manner. Empathizes with the challenges the business faces and helps develop a technical solution to address them.
Is a leader in refining and following team processes to increase efficiency and capacity. Has extremely strong personal skills to develop relationships with and become a mentor to more junior developers.
What you will do:
  • 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.

When you will work:
  • Monday to Friday, 8am to 5pm
  • Hybrid schedule, 4 days in office in Wyoming MI or Atlanta GA, with 1 day remote

What you will bring to the table:
  • 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.

BE PART OF AN AMAZING CULTURE WHERE WHAT MATTERS TO YOU, MATTERS TO US!
Gordon Food Service values our customers and understands that their success is largely dependent upon their workforce. To demonstrate our commitment to our partnership, we will require any candidate who works for a Gordon Food Service customer to provide a letter of support from their management if they are selected for the interview process.
Equal Employment Opportunity is a matter of policy at Gordon Food Service, Inc. and we are committed to a work environment in which all individuals are treated with respect and dignity.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or status as a qualified individual with disability. If you require reasonable accommodation for any part of the application or hiring process due to a disability, please submit your request to talent@gfs.com and use the words "Accommodation Request" in your subject line.
All Gordon Food Service locations are tobacco-free.
Gordon Food Service is a drug-free workplace and conducts pre-employment drug tests.

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About Gordon Food Service

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Since our 1897 founding, Gordon Food Service has grown to become the largest family-managed broadline foodservice distribution company in North America. While we've been growing pretty much continuously over these 125 years, we've remained consistent at the core of what and who we are: passionately committed to customers and employees. Being part of Gordon Food Service means being part of something important, something bigger than oneself.We take care of you as if you were part of our family by providing benefits that give choice and flexibility for what matters most to you. We aim to deliver a competitive package that not only supports you but also your family. Full-time employees are provided benefit options to support work-life and your need to take care of yourself and those close to you, including paid time off, 401k with company match, profit sharing, tuition reimbursement for you and the whole family, and more!We feel the culture when we work together, and when we serve together. As a team, we tackle our challenges, celebrate our successes, and have fun on the journey. Be part of it.

Industry

Food and beverage wholesalers

Company size

10,000+ Employees

Headquarters location

Wyoming, MI, US

Year founded

1897