{"schemaVersion":"jobsearcher.job.v1","id":"f5e84ae914a76e042fc035a5","url":"https://jobsearcher.com/jobs/f5e84ae914a76e042fc035a5","canonicalUrl":"https://jobsearcher.com/jobs/f5e84ae914a76e042fc035a5","title":"Data Engineer","description":"Our client is seeking a Senior Data Engineer to join our fast-growing team. The successful candidate will join the testing team to work on ETL and development tasks. This is an exciting and challenging opportunity to build out new pipelines combining and processing large amounts of structured data from a variety of sources with the power of PySpark at your fingertips.ResponsibilitiesArchitect and build pipelines using AWS cloud computing solutions that make data available with robustness, maintainability, efficiency, scalability, availability and security. Develop Python and/or Spark (Preferably PySpark, but Spark-Scala is also good to have) code that implements complex data transformations. Design and maintain databases and APIs for storage and transmission of data between applications. Monitor pipelines in production (and develop tools to facilitate this). Work collaboratively with other team members (brainstorming, troubleshooting, and code review). Liaise with other development teams to ensure the integrity of data pipelines.QualificationsSkills:Excellent Python and PySpark programming (including Pandas/PySpark dataframes, web and database connections) Excellent understanding of ETL processes within Amazon Web Services (AWS) Apache Spark, AWS Glue, Athena, S3, Step Functions, Lake Formation Software development lifecycle best practices Test-driven development Serverless computing (AWS Lambda, API Gateway, SQS, SNS, EventBridge, S3, etc.) SQL and NoSQL database design and management (DynamoDB, MySQL) Strong SQL coding skills (Spark-SQL, Presto SQL, MySQL, etc.) Infrastructure as code (CloudFormation) Experience in Shell Scripting (preferably Linux) Version control with Git/Github Agile principles, processes and toolsExcellent written and verbal communication skills. Experience: Designing, deploying and managing complex production data pipelines that interact with a range of data sources (file systems, web, database, users)Strong experience with Amazon Web Services (AWS) 5 years’ work in data engineering fieldAt least 2 years' experience with PySpark and AWS data tools (particularly, Glue)Knowledge: Data modeling, data pipeline architecture, Big Data implementation. Software development lifecycle best practices. Financial knowledge would be an asset. Qualifications/Training: Bachelor’s degree or equivalent in Computer Science or a related subject. What you’ll get in returnCompetitive salary package Private healthcare contribution Annual pay review Regular team socials Working within a culture of innovation and collaboration Opportunity to play a key role in a pioneering growth companyCompany Laptop will be provide","company":"Cybernetic Controls","rawCompany":"cybernetic controls","city":"Cyrus","state":"MN","isRemote":false,"isActive":false,"createdAt":"2026-08-14T11:39:19.796Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"Data Engineer","description":"Our client is seeking a Senior Data Engineer to join our fast-growing team. The successful candidate will join the testing team to work on ETL and development tasks. This is an exciting and challenging opportunity to build out new pipelines combining and processing large amounts of structured data from a variety of sources with the power of PySpark at your fingertips.ResponsibilitiesArchitect and build pipelines using AWS cloud computing solutions that make data available with robustness, maintainability, efficiency, scalability, availability and security. Develop Python and/or Spark (Preferably PySpark, but Spark-Scala is also good to have) code that implements complex data transformations. Design and maintain databases and APIs for storage and transmission of data between applications. Monitor pipelines in production (and develop tools to facilitate this). Work collaboratively with other team members (brainstorming, troubleshooting, and code review). Liaise with other development teams to ensure the integrity of data pipelines.QualificationsSkills:Excellent Python and PySpark programming (including Pandas/PySpark dataframes, web and database connections) Excellent understanding of ETL processes within Amazon Web Services (AWS) Apache Spark, AWS Glue, Athena, S3, Step Functions, Lake Formation Software development lifecycle best practices Test-driven development Serverless computing (AWS Lambda, API Gateway, SQS, SNS, EventBridge, S3, etc.) SQL and NoSQL database design and management (DynamoDB, MySQL) Strong SQL coding skills (Spark-SQL, Presto SQL, MySQL, etc.) Infrastructure as code (CloudFormation) Experience in Shell Scripting (preferably Linux) Version control with Git/Github Agile principles, processes and toolsExcellent written and verbal communication skills. Experience: Designing, deploying and managing complex production data pipelines that interact with a range of data sources (file systems, web, database, users)Strong experience with Amazon Web Services (AWS) 5 years’ work in data engineering fieldAt least 2 years' experience with PySpark and AWS data tools (particularly, Glue)Knowledge: Data modeling, data pipeline architecture, Big Data implementation. Software development lifecycle best practices. Financial knowledge would be an asset. Qualifications/Training: Bachelor’s degree or equivalent in Computer Science or a related subject. What you’ll get in returnCompetitive salary package Private healthcare contribution Annual pay review Regular team socials Working within a culture of innovation and collaboration Opportunity to play a key role in a pioneering growth companyCompany Laptop will be provide","datePosted":"2026-08-14T11:39:19.796Z","dateModified":"2026-08-14T11:39:19.796Z","hiringOrganization":{"@type":"Organization","name":"Cybernetic Controls","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cyrus","addressRegion":"MN","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f5e84ae914a76e042fc035a5"},"url":"https://jobsearcher.com/jobs/f5e84ae914a76e042fc035a5"}}