Data Engineer (Full-time)
Tempe Eats
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Company Description Tempe Eats is a growing food services company that focuses on delivering convenient, high-quality meal options to customers in the Phoenix area. The organization emphasizes efficient operations, data-driven decision-making, and continuous improvement across its services. Team members collaborate closely to support expansion, improve customer experience, and streamline internal processes. Tempe Eats values reliability, accountability, and innovation, creating opportunities for professionals to contribute to impactful, real-world outcomes.
Role Description The Data Engineer (Full-time) role at Tempe Eats is an on-site position based in Phoenix, AZ. This role is responsible for designing, building, and maintaining data pipelines and infrastructure to support analytics, reporting, and operational systems. Day-to-day tasks include developing and optimizing ETL processes, implementing data models, managing data warehouse environments, and ensuring data quality, reliability, and performance. The Data Engineer collaborates with analytics, operations, and technology teams to understand data needs, translate business requirements into technical solutions, and enable timely, accurate insights. The position involves monitoring data workflows, troubleshooting issues, and recommending improvements to support scalable, data-driven growth.
Qualifications
- Strong Data Engineering skills, including building and maintaining data pipelines and working with large, complex datasets.
- Experience with Data Modeling and Data Warehousing to design efficient, scalable structures for reporting and analytics.
- Proficiency with Extract Transform Load (ETL) tools and frameworks to move and transform data across systems.
- Knowledge of at least one programming language commonly used in data engineering (such as Python or Scala).
- Understanding of data governance, data quality practices, and basic security/privacy standards.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field, or equivalent practical experience.
- Ability to work collaboratively on-site, communicate clearly with technical and non-technical stakeholders, and manage multiple priorities.
$100.79k - $160.26k
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$100k
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$106.61k - $284.28k
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$65k - $70k
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...opposite of sending the same PDF 300 times. You change the product, then someone... ...ve helped thousands of candidates land full-time jobs at tech leaders like Google,... ...stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning...Full timeRemote work$124k - $280k
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$150k - $200k
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...3750 - $174750 annually + bonus + benefitsJob Function: Engineering & ArchitectureSchedule: Full timeCareer Area: TechnologyCompany: American ExpressDescriptionWe... ...with application, infrastructure, cloud, security, data engineering, and vendor teams to troubleshoot issues and...$127.31k - $243.34k
...business needs.The OpportunityAs a dedicated Data Engineer - Senior, you will be engaged in all... ...What you will do:Leads and/or engineers the full cycle of data solutions from analysis,... ...Please do not apply for this role if at any time (now or in the future) you will need...H1bRemote work
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