{"schemaVersion":"jobsearcher.job.v1","id":"41ddaec9b71a58263ff7fdfd","url":"https://jobsearcher.com/jobs/41ddaec9b71a58263ff7fdfd","canonicalUrl":"https://jobsearcher.com/jobs/41ddaec9b71a58263ff7fdfd","title":"Middle Data Engineer","description":"Middle Data EngineerDo you enjoy building scalable data solutions that enable analytics, reporting, and business intelligence? We are looking for a Middle Data Engineer to join a remote team working on modern cloud-native data platforms and distributed data processing systems.In this role, you will contribute to the development and optimization of ETL/ELT pipelines, data models, and cloud-based data architectures using technologies such as Databricks, Apache Spark, Snowflake, and AWS. This opportunity is ideal for engineers who want to deepen their expertise in modern Data Engineering practices while working on impactful business solutions.We at Sigma Software value collaboration, continuous learning, and technical excellence. Joining our team means working in a supportive engineering environment with opportunities for professional growth, knowledge sharing, and long-term career development.Our customer operates within a modern data-driven environment focused on analytics, reporting, and operational decision-making. The platform ecosystem combines cloud-native technologies, distributed processing frameworks, and scalable infrastructure to support reliable and high-performance data solutions.The project focuses on building and maintaining scalable cloud-based data platforms that support analytics and business intelligence initiatives. The team develops ETL/ELT pipelines, optimizes data transformations, and enhances modern data architectures using distributed data processing technologies and cloud infrastructure.Key Technologies: Python, SQL, Apache Spark, Databricks, Snowflake, AWS, ETL/ELT, CI/CDJob DescriptionDesign, develop, and maintain ETL/ELT pipelinesBuild and optimize data transformations to support analytics and reporting needsDevelop and maintain data models, datasets, and integration solutionsEnsure data quality, consistency, and reliability through testing and monitoringTroubleshoot and resolve data pipeline and performance issuesCollaborate with analysts, engineers, and business stakeholders to deliver data-driven solutionsContribute to the development and maintenance of cloud-based data platformsParticipate in code reviews and technical discussionsCreate and maintain technical documentation for implemented solutionsContinuously improve existing data processes and platform performanceQualifications3+ years of experience in Data Engineering or Software EngineeringUpper-Intermediate English levelStrong SQL skills and understanding of relational and dimensional data modelingHands-on experience with Python for data processing and automationExperience building and maintaining ETL/ELT pipelinesHands-on experience with Databricks and Apache SparkExperience working with SnowflakeUnderstanding of data warehousing and modern data platform conceptsExperience working with cloud environments, preferably AWSFamiliarity with CI/CD, Git, and software engineering best practicesStrong analytical, troubleshooting, and communication skillsWill Be A PlusExperience with streaming data processingKnowledge of orchestration tools such as Airflow or DagsterExperience with infrastructure as code practicesFamiliarity with data quality and observability frameworksExposure to large-scale distributed data systemsExperience working in Agile environmentsAdditional InformationPersonal ProfileStrong analytical mindsetDetail-oriented and quality-focusedProactive and collaborative approachGood communication and teamwork skillsWillingness to learn and grow within modern Data Engineering environmentsAbility to work independently in remote teams","company":"Sigma Software","rawCompany":"sigma software","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-16T14:14:19.854Z","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":"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":"Middle Data Engineer","description":"Middle Data EngineerDo you enjoy building scalable data solutions that enable analytics, reporting, and business intelligence? We are looking for a Middle Data Engineer to join a remote team working on modern cloud-native data platforms and distributed data processing systems.In this role, you will contribute to the development and optimization of ETL/ELT pipelines, data models, and cloud-based data architectures using technologies such as Databricks, Apache Spark, Snowflake, and AWS. This opportunity is ideal for engineers who want to deepen their expertise in modern Data Engineering practices while working on impactful business solutions.We at Sigma Software value collaboration, continuous learning, and technical excellence. Joining our team means working in a supportive engineering environment with opportunities for professional growth, knowledge sharing, and long-term career development.Our customer operates within a modern data-driven environment focused on analytics, reporting, and operational decision-making. The platform ecosystem combines cloud-native technologies, distributed processing frameworks, and scalable infrastructure to support reliable and high-performance data solutions.The project focuses on building and maintaining scalable cloud-based data platforms that support analytics and business intelligence initiatives. The team develops ETL/ELT pipelines, optimizes data transformations, and enhances modern data architectures using distributed data processing technologies and cloud infrastructure.Key Technologies: Python, SQL, Apache Spark, Databricks, Snowflake, AWS, ETL/ELT, CI/CDJob DescriptionDesign, develop, and maintain ETL/ELT pipelinesBuild and optimize data transformations to support analytics and reporting needsDevelop and maintain data models, datasets, and integration solutionsEnsure data quality, consistency, and reliability through testing and monitoringTroubleshoot and resolve data pipeline and performance issuesCollaborate with analysts, engineers, and business stakeholders to deliver data-driven solutionsContribute to the development and maintenance of cloud-based data platformsParticipate in code reviews and technical discussionsCreate and maintain technical documentation for implemented solutionsContinuously improve existing data processes and platform performanceQualifications3+ years of experience in Data Engineering or Software EngineeringUpper-Intermediate English levelStrong SQL skills and understanding of relational and dimensional data modelingHands-on experience with Python for data processing and automationExperience building and maintaining ETL/ELT pipelinesHands-on experience with Databricks and Apache SparkExperience working with SnowflakeUnderstanding of data warehousing and modern data platform conceptsExperience working with cloud environments, preferably AWSFamiliarity with CI/CD, Git, and software engineering best practicesStrong analytical, troubleshooting, and communication skillsWill Be A PlusExperience with streaming data processingKnowledge of orchestration tools such as Airflow or DagsterExperience with infrastructure as code practicesFamiliarity with data quality and observability frameworksExposure to large-scale distributed data systemsExperience working in Agile environmentsAdditional InformationPersonal ProfileStrong analytical mindsetDetail-oriented and quality-focusedProactive and collaborative approachGood communication and teamwork skillsWillingness to learn and grow within modern Data Engineering environmentsAbility to work independently in remote teams","datePosted":"2026-10-16T14:14:19.854Z","dateModified":"2026-10-16T14:14:19.854Z","hiringOrganization":{"@type":"Organization","name":"Sigma Software","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"41ddaec9b71a58263ff7fdfd"},"url":"https://jobsearcher.com/jobs/41ddaec9b71a58263ff7fdfd"}}