{"schemaVersion":"jobsearcher.job.v1","id":"19c0964dde6823d2bfc4a234","url":"https://jobsearcher.com/jobs/19c0964dde6823d2bfc4a234","canonicalUrl":"https://jobsearcher.com/jobs/19c0964dde6823d2bfc4a234","title":"Python Developer","description":"Important information: To be immediately considered, please send an updated version of your resume to somp767@kellyservices.com.Title: Senior Software Engineer – Data Products & Cloud SolutionsLocation: Urbandale, IA, 50322 (Remote / Onsite They would like someone who is able to come onsite if needed.)Duration: Until Oct/2027W2 Contract (No C2C)Pay rate: $56 to $62 per hourRemote / Onsite They would like someone who is able to come onsite if needed.DescriptionWe are looking for a highly technical Senior Software Engineer to join the Compass team and help design, build, deploy, and support production data products and services for precision agriculture.The Compass team develops software and infrastructure that turns machine, agronomic, geospatial, logistics, and other data into production capabilities. Our work spans backend APIs, event-driven data pipelines, cloud infrastructure, databases, Databricks integrations, monitoring, and operational tooling.We are looking for someone who is comfortable working across technologies, can independently solve ambiguous technical problems, and can take a capability from initial design through production deployment and support. This role will work closely with software engineers, data scientists, product teams, and partner engineering teams.Essential Attributes / ExperienceExcellent Python development skills with production software deployment experienceStrong experience designing and developing REST APIs, backend services, and data-processing applicationsStrong understanding of AWS, including services such as Lambda, API Gateway, IAM, S3, SQS, EventBridge, and RDS/AuroraExperience with relational databases, particularly PostgreSQLExperience building and maintaining Infrastructure as Code, preferably TerraformExperience with CI/CD, automated testing, and Git/GitHub development practicesStrong troubleshooting skills across application, data, infrastructure, and integration layersAbility to independently investigate complex problems, propose solutions, and deliver production-quality implementationsStrong communication skills and ability to work across engineering, data science, product, and business teamsExperience improving systems for scalability, reliability, security, performance, and cloud cost efficiencyPreferred AttributesExperience with Databricks, Spark, PySpark, SQL, Delta Lake, or similar data platformsExperience with event-driven and serverless architecturesExperience with Docker and containerized applicationsExperience with DBMate, Pydantic, AWS Lambda Powertools, or similar Python frameworksExperience with authentication and authorization patterns such as AWS IAM and OAuth/OIDCExperience with observability platforms such as DatadogExperience processing machine, agricultural, logistics, or other high-volume dataExperience with GitHub Actions and automated cloud deploymentsExample Responsibilities (Including but not limited to):Architect and implement new AWS and Databricks-based solutions while improving existing Compass services for scalability, reliability, and maintainabilityDesign, build, and maintain Python REST APIs, Lambda functions, backend processes, and event-driven servicesBuild pipelines that ingest, transform, process, and persist machine, agronomic, geospatial, logistics, and other dataBuild and maintain AWS infrastructure using TerraformDesign and support PostgreSQL/Aurora databases, including schemas, migrations, application connectivity, and performanceBuild solutions supporting both real-time/event-driven workloads and scheduled batch processingDevelop and support Databricks integrations and data-processing workflows as needed by Compass productsCreate and maintain CI/CD pipelines using GitHub Actions, including automated testing and application/infrastructure deploymentImplement and improve logging, metrics, dashboards, monitoring, and alerts using DatadogTroubleshoot production issues across APIs, databases, queues, cloud infrastructure, data-processing jobs, and external integrationsIdentify opportunities to improve system performance, scalability, reliability, and cloud cost","company":"Kelly","rawCompany":"kelly","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-31T07:53:14.278Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python Developer","description":"Important information: To be immediately considered, please send an updated version of your resume to somp767@kellyservices.com.Title: Senior Software Engineer – Data Products & Cloud SolutionsLocation: Urbandale, IA, 50322 (Remote / Onsite They would like someone who is able to come onsite if needed.)Duration: Until Oct/2027W2 Contract (No C2C)Pay rate: $56 to $62 per hourRemote / Onsite They would like someone who is able to come onsite if needed.DescriptionWe are looking for a highly technical Senior Software Engineer to join the Compass team and help design, build, deploy, and support production data products and services for precision agriculture.The Compass team develops software and infrastructure that turns machine, agronomic, geospatial, logistics, and other data into production capabilities. Our work spans backend APIs, event-driven data pipelines, cloud infrastructure, databases, Databricks integrations, monitoring, and operational tooling.We are looking for someone who is comfortable working across technologies, can independently solve ambiguous technical problems, and can take a capability from initial design through production deployment and support. This role will work closely with software engineers, data scientists, product teams, and partner engineering teams.Essential Attributes / ExperienceExcellent Python development skills with production software deployment experienceStrong experience designing and developing REST APIs, backend services, and data-processing applicationsStrong understanding of AWS, including services such as Lambda, API Gateway, IAM, S3, SQS, EventBridge, and RDS/AuroraExperience with relational databases, particularly PostgreSQLExperience building and maintaining Infrastructure as Code, preferably TerraformExperience with CI/CD, automated testing, and Git/GitHub development practicesStrong troubleshooting skills across application, data, infrastructure, and integration layersAbility to independently investigate complex problems, propose solutions, and deliver production-quality implementationsStrong communication skills and ability to work across engineering, data science, product, and business teamsExperience improving systems for scalability, reliability, security, performance, and cloud cost efficiencyPreferred AttributesExperience with Databricks, Spark, PySpark, SQL, Delta Lake, or similar data platformsExperience with event-driven and serverless architecturesExperience with Docker and containerized applicationsExperience with DBMate, Pydantic, AWS Lambda Powertools, or similar Python frameworksExperience with authentication and authorization patterns such as AWS IAM and OAuth/OIDCExperience with observability platforms such as DatadogExperience processing machine, agricultural, logistics, or other high-volume dataExperience with GitHub Actions and automated cloud deploymentsExample Responsibilities (Including but not limited to):Architect and implement new AWS and Databricks-based solutions while improving existing Compass services for scalability, reliability, and maintainabilityDesign, build, and maintain Python REST APIs, Lambda functions, backend processes, and event-driven servicesBuild pipelines that ingest, transform, process, and persist machine, agronomic, geospatial, logistics, and other dataBuild and maintain AWS infrastructure using TerraformDesign and support PostgreSQL/Aurora databases, including schemas, migrations, application connectivity, and performanceBuild solutions supporting both real-time/event-driven workloads and scheduled batch processingDevelop and support Databricks integrations and data-processing workflows as needed by Compass productsCreate and maintain CI/CD pipelines using GitHub Actions, including automated testing and application/infrastructure deploymentImplement and improve logging, metrics, dashboards, monitoring, and alerts using DatadogTroubleshoot production issues across APIs, databases, queues, cloud infrastructure, data-processing jobs, and external integrationsIdentify opportunities to improve system performance, scalability, reliability, and cloud cost","datePosted":"2026-10-31T07:53:14.278Z","dateModified":"2026-10-31T07:53:14.278Z","hiringOrganization":{"@type":"Organization","name":"Kelly","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"19c0964dde6823d2bfc4a234"},"url":"https://jobsearcher.com/jobs/19c0964dde6823d2bfc4a234"}}