{"schemaVersion":"jobsearcher.job.v1","id":"1b8f1c637eabaf9fa5000a49","url":"https://jobsearcher.com/jobs/1b8f1c637eabaf9fa5000a49","canonicalUrl":"https://jobsearcher.com/jobs/1b8f1c637eabaf9fa5000a49","title":"Associate Data Engineer","description":"At Casey's, everyday interactions across our stores, digital experiences, fuel operations, supply chain, merchandising, marketing, and corporate functions generate data that can improve how the business operates and serves its guests. Marketplace Data Engineering transforms that data into governed, reliable data products used for reporting, analytics, data science, AI, and operational decision-making.\n\nWe are looking for an Associate Data Engineer who is curious, collaborative, and motivated to grow as an engineer. You will pair with experienced team members to develop data pipelines and models, test and deploy changes, troubleshoot production issues, and learn the standards behind Casey's Enterprise Data Lake. You will work with Databricks, Python, SQL, cloud services, Git-based delivery practices, and approved AI-assisted engineering tools while building practical knowledge of Casey's business and data ecosystem.\n\nThe Associate Data Engineer contributes to the design, development, testing, deployment, and support of governed data products on Casey's Enterprise Data Lake. Working with more experienced engineers, product partners, analysts, and business stakeholders, this role develops reliable data pipelines and models using Databricks, Python, SQL, and related cloud technologies. The role learns and applies Casey's engineering, security, data governance, and software-delivery standards while helping troubleshoot production issues and continuously improve the reliability, quality, performance, and maintainability of Marketplace data products.\n\nKey Responsibilities:\n\nDevelop, test, deploy, and maintain end-to-end data pipelines and data products using Databricks, Python, SQL, and approved enterprise frameworks.\nEvaluate source systems and work with engineers, analysts, product partners, and business stakeholders to understand data requirements, dependencies, and intended business use.\nContribute to data models across Raw, Protected, and Purpose zones in accordance with Casey's Enterprise Data Lake architecture, naming conventions, and governance standards.\nWrite maintainable, reusable, and well-documented code using version control, branching, pull requests, peer review, and CI/CD practices.\nCreate and maintain automated tests and validation processes covering data accuracy, completeness, schema, business rules, and pipeline behavior.\nParticipate in deployment and release activities across development and production environments using approved service identities and access-management practices.\nMonitor data jobs and pipelines, investigate failures and data-quality issues, document findings, and partner with senior engineers or Operations to restore service.\nAssist with performance and cost optimization for Databricks jobs, queries, pipelines, and compute resources.\nDevelop and maintain technical documentation, including source-to-target mappings, transformation logic, operating procedures, support information, and data lineage.\nCollaborate with Analytics Solutions, Data Science, Enterprise Data & Governance, Operations, product partners, and business teams to deliver trusted data for reporting, analytics, AI, and operational use cases.\nUse approved AI-assisted development tools to accelerate learning, coding, testing, documentation, and troubleshooting while validating outputs and following security and responsible-use standards.\nParticipate in the team's on-call or off-hours support rotation based on the criticality of supported data products.\nContinuously build knowledge of Casey's business domains, data architecture, engineering standards, and software-delivery practices through pairing, feedback, and structured learning.\n\nCompensation: Starting pay range: $66,000 - $90,800. Actual pay may vary based on Casey's assessment of the candidate's knowledge, skills, abilities (KSAs), related experience, education, and qualifications. Other factors impacting pay include local prevailing wages and internal equity. This position is eligible for an annual cash bonus based on company performance. Our full salary range for this role does extend beyond the hiring range listed, allowing team members the opportunity to continue to grow within the company.\n\nRequirements:\nThis position requires authorization to work in the U.S. without the need for employment-based immigration sponsorship now or in the future. Casey's will not provide sponsorship or employer support for applications or petitions for F-1 OPT, F-1 CPT, H-1B, L-1, TN, O-1, E-3, H-1B1, J-1, or any other employment-based visa.\nBachelor's degree in Computer Science, MIS, Data Analytics, Engineering, Information Technology, or equivalent years of related work experience.\nExperience using SQL or Python to analyze, transform, or validate data.\nFoundational understanding of relational data, data modeling, or dimensional modeling concepts.\nFamiliarity with common data-integration patterns involving databases, files, APIs, streams, or event data.\nUnderstanding of software-development fundamentals such as source control, testing, debugging, code review, and deployment.\nAbility to investigate technical and data-quality problems, evaluate available information, and communicate findings clearly.\nStrong attention to detail, organization, curiosity, and willingness to learn from feedback and pairing.\nStrong interpersonal, verbal, and written communication skills.\nAbility to collaborate across engineering, product, analytics, operations, and business teams.\n\nQualified candidates must live within a daily commutable distance of Casey's Store Support Center in Ankeny, IA and be willing to work onsite 5 days per week.\n\nPreferred Experience:\n\nExperience with Databricks, Apache Spark, PySpark, Delta Lake, or Databricks Workflows.\nExperience with GitHub or Azure DevOps, including branches, pull requests, and CI/CD pipelines.\nExposure to Azure services such as Azure Data Factory, Azure Data Lake Storage, Microsoft Entra ID, or Azure Key Vault.\nUnderstanding of data governance, metadata, lineage, data quality, or cataloging concepts.\nFamiliarity with monitoring, troubleshooting, and optimizing cloud data workloads.\nExperience using AI-assisted software-development tools responsibly.\nDatabricks Certified Data Engineer Associate certification or willingness to pursue it after joining.","company":"Casey's","rawCompany":"caseys","city":"Ankeny","state":"IA","isRemote":false,"isActive":false,"createdAt":"2026-11-05T07:57:52.550Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Associate Data Engineer","description":"At Casey's, everyday interactions across our stores, digital experiences, fuel operations, supply chain, merchandising, marketing, and corporate functions generate data that can improve how the business operates and serves its guests. Marketplace Data Engineering transforms that data into governed, reliable data products used for reporting, analytics, data science, AI, and operational decision-making.\n\nWe are looking for an Associate Data Engineer who is curious, collaborative, and motivated to grow as an engineer. You will pair with experienced team members to develop data pipelines and models, test and deploy changes, troubleshoot production issues, and learn the standards behind Casey's Enterprise Data Lake. You will work with Databricks, Python, SQL, cloud services, Git-based delivery practices, and approved AI-assisted engineering tools while building practical knowledge of Casey's business and data ecosystem.\n\nThe Associate Data Engineer contributes to the design, development, testing, deployment, and support of governed data products on Casey's Enterprise Data Lake. Working with more experienced engineers, product partners, analysts, and business stakeholders, this role develops reliable data pipelines and models using Databricks, Python, SQL, and related cloud technologies. The role learns and applies Casey's engineering, security, data governance, and software-delivery standards while helping troubleshoot production issues and continuously improve the reliability, quality, performance, and maintainability of Marketplace data products.\n\nKey Responsibilities:\n\nDevelop, test, deploy, and maintain end-to-end data pipelines and data products using Databricks, Python, SQL, and approved enterprise frameworks.\nEvaluate source systems and work with engineers, analysts, product partners, and business stakeholders to understand data requirements, dependencies, and intended business use.\nContribute to data models across Raw, Protected, and Purpose zones in accordance with Casey's Enterprise Data Lake architecture, naming conventions, and governance standards.\nWrite maintainable, reusable, and well-documented code using version control, branching, pull requests, peer review, and CI/CD practices.\nCreate and maintain automated tests and validation processes covering data accuracy, completeness, schema, business rules, and pipeline behavior.\nParticipate in deployment and release activities across development and production environments using approved service identities and access-management practices.\nMonitor data jobs and pipelines, investigate failures and data-quality issues, document findings, and partner with senior engineers or Operations to restore service.\nAssist with performance and cost optimization for Databricks jobs, queries, pipelines, and compute resources.\nDevelop and maintain technical documentation, including source-to-target mappings, transformation logic, operating procedures, support information, and data lineage.\nCollaborate with Analytics Solutions, Data Science, Enterprise Data & Governance, Operations, product partners, and business teams to deliver trusted data for reporting, analytics, AI, and operational use cases.\nUse approved AI-assisted development tools to accelerate learning, coding, testing, documentation, and troubleshooting while validating outputs and following security and responsible-use standards.\nParticipate in the team's on-call or off-hours support rotation based on the criticality of supported data products.\nContinuously build knowledge of Casey's business domains, data architecture, engineering standards, and software-delivery practices through pairing, feedback, and structured learning.\n\nCompensation: Starting pay range: $66,000 - $90,800. Actual pay may vary based on Casey's assessment of the candidate's knowledge, skills, abilities (KSAs), related experience, education, and qualifications. Other factors impacting pay include local prevailing wages and internal equity. This position is eligible for an annual cash bonus based on company performance. Our full salary range for this role does extend beyond the hiring range listed, allowing team members the opportunity to continue to grow within the company.\n\nRequirements:\nThis position requires authorization to work in the U.S. without the need for employment-based immigration sponsorship now or in the future. Casey's will not provide sponsorship or employer support for applications or petitions for F-1 OPT, F-1 CPT, H-1B, L-1, TN, O-1, E-3, H-1B1, J-1, or any other employment-based visa.\nBachelor's degree in Computer Science, MIS, Data Analytics, Engineering, Information Technology, or equivalent years of related work experience.\nExperience using SQL or Python to analyze, transform, or validate data.\nFoundational understanding of relational data, data modeling, or dimensional modeling concepts.\nFamiliarity with common data-integration patterns involving databases, files, APIs, streams, or event data.\nUnderstanding of software-development fundamentals such as source control, testing, debugging, code review, and deployment.\nAbility to investigate technical and data-quality problems, evaluate available information, and communicate findings clearly.\nStrong attention to detail, organization, curiosity, and willingness to learn from feedback and pairing.\nStrong interpersonal, verbal, and written communication skills.\nAbility to collaborate across engineering, product, analytics, operations, and business teams.\n\nQualified candidates must live within a daily commutable distance of Casey's Store Support Center in Ankeny, IA and be willing to work onsite 5 days per week.\n\nPreferred Experience:\n\nExperience with Databricks, Apache Spark, PySpark, Delta Lake, or Databricks Workflows.\nExperience with GitHub or Azure DevOps, including branches, pull requests, and CI/CD pipelines.\nExposure to Azure services such as Azure Data Factory, Azure Data Lake Storage, Microsoft Entra ID, or Azure Key Vault.\nUnderstanding of data governance, metadata, lineage, data quality, or cataloging concepts.\nFamiliarity with monitoring, troubleshooting, and optimizing cloud data workloads.\nExperience using AI-assisted software-development tools responsibly.\nDatabricks Certified Data Engineer Associate certification or willingness to pursue it after joining.","datePosted":"2026-11-05T07:57:52.550Z","dateModified":"2026-11-05T07:57:52.550Z","hiringOrganization":{"@type":"Organization","name":"Casey's","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ankeny","addressRegion":"IA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1b8f1c637eabaf9fa5000a49"},"url":"https://jobsearcher.com/jobs/1b8f1c637eabaf9fa5000a49"}}