{"schemaVersion":"jobsearcher.job.v1","id":"5bb84570fdd04af2c8d6da69","url":"https://jobsearcher.com/jobs/5bb84570fdd04af2c8d6da69","canonicalUrl":"https://jobsearcher.com/jobs/5bb84570fdd04af2c8d6da69","title":"Software Engineer- Data Engineering","description":"The Data Engineering & AI/ML capability serves as the backbone of our organization's data-driven operations. Comprising skilled professionals with expertise in data engineering, database management, and infrastructure architecture, our team is dedicated to designing and maintaining robust systems that ensure the seamless flow and accessibility of data. We specialize in constructing and optimizing data pipelines, implementing efficient storage solutions, and orchestrating the infrastructure necessary to support the company's data-driven initiatives. Our focus extends beyond data management, encompassing the development of scalable and reliable systems that empower organizations to extract valuable insights, make informed decisions, and drive innovation.\r\nWe are seeking a talented and motivated Data Engineer to join our dynamic Data Engineering & Analytics team. As a key member of our engineering team, you will play a crucial role in constructing and optimizing data pipelines, implementing efficient storage solutions, and orchestrating the infrastructure necessary to support our customer’s data-driven initiatives.\r\nLocation & Clearance Location : Primarily Remote. Candidates must be based in CA or DC Metro Area for proximity to project and client teams.\r\nSecurity Clearance Requirement : Applicants must be US citizens and eligible to obtain and maintain an active Secret security clearance or above.\r\nKey Responsibilities Data Collection and Processing Acquire, clean, and preprocess diverse datasets from various sources.\r\nBuild required infrastructure for optimal extraction, transformation and loading of data from various data sources using CSP managed services and SQL technologies.\r\nDevelop and maintain data pipelines to ensure a continuous flow of high-quality data.\r\nData Migrations & Optimization Develop data migration strategies and schemas to lead customer migrations from on-prem to cloud technologies.\r\nPerform data migration activities.\r\nOptimize databases and data warehouses for efficient querying and data storage.\r\nData Analysis and Visualization Perform exploratory data analysis to uncover patterns, trends, and insights.\r\nCreate visualizations and reports to communicate findings effectively to stakeholders both internally and externally.\r\nCollaboration and Documentation Collaborate with cross-functional teams, including software engineers, domain experts, and business analysts, to understand requirements and deliver integrated solutions.\r\nCreate and maintain comprehensive documentation for code, algorithms, and models. Ensure that the knowledge is shared and accessible within the team.\r\nAct on client feedback constructively to improve services and outcomes.\r\nContinuously seek ways to enhance the overall customer experience.\r\nContinuous Learning and Innovation Stay updated on the latest developments in machine learning, data science, and analytics.\r\nDrive innovation by proposing and implementing new techniques and technologies.\r\nQualifications Solid understanding and experience with SQL and relational database concepts.\r\nSolid understanding of database technologies, data warehouses, and ETL tools (e.g., MySQL, PostgreSQL, Beam, Airflow, and Kafka).\r\nExperience with data analysis tools (e.g., Jupyter, Colab, Pandas).\r\nExperience with data visualization tools (e.g., Tableau, Looker, PowerBI, Qlik, SuperSet).\r\nPrevious experience developing data strategies and facilitating data migrations into production systems.\r\nExperience with cloud platforms (e.g., AWS, Azure, GCP).\r\nProficiency in programming languages such as Python, Java, or C++.\r\nStrong software engineering skills with an emphasis on writing clean, modular, and maintainable code.\r\nFamiliarity with version control systems (e.g., Git) and collaborative development workflows.\r\nExcellent problem-solving and critical-thinking skills.\r\nEffective communication skills and ability to work in a collaborative team environment.\r\nPreferred Qualifications Bachelor's or advanced degree in Computer Science, Data Science, Machine Learning, or a related field.\r\nExperience with other database technologies (e.g., NoSQL, Graph).\r\nAny of the below cloud certifications: Google Cloud Professional Cloud Architect\r\nGoogle Cloud Professional Database Engineer certification\r\nGoogle Cloud Professional Data EngineerExperience with additional data processing tools and technologies (e.g., Spark, Hadoop).\r\nKnowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).\r\nSalary Range : $102,850 - $170,000#J-18808-Ljbffr","company":"Noctua Technology","rawCompany":"noctua technology","city":"California","state":"MO","isRemote":false,"isActive":false,"createdAt":"2026-07-06T01:07:13.492Z","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":"Software Engineer- Data Engineering","description":"The Data Engineering & AI/ML capability serves as the backbone of our organization's data-driven operations. Comprising skilled professionals with expertise in data engineering, database management, and infrastructure architecture, our team is dedicated to designing and maintaining robust systems that ensure the seamless flow and accessibility of data. We specialize in constructing and optimizing data pipelines, implementing efficient storage solutions, and orchestrating the infrastructure necessary to support the company's data-driven initiatives. Our focus extends beyond data management, encompassing the development of scalable and reliable systems that empower organizations to extract valuable insights, make informed decisions, and drive innovation.\r\nWe are seeking a talented and motivated Data Engineer to join our dynamic Data Engineering & Analytics team. As a key member of our engineering team, you will play a crucial role in constructing and optimizing data pipelines, implementing efficient storage solutions, and orchestrating the infrastructure necessary to support our customer’s data-driven initiatives.\r\nLocation & Clearance Location : Primarily Remote. Candidates must be based in CA or DC Metro Area for proximity to project and client teams.\r\nSecurity Clearance Requirement : Applicants must be US citizens and eligible to obtain and maintain an active Secret security clearance or above.\r\nKey Responsibilities Data Collection and Processing Acquire, clean, and preprocess diverse datasets from various sources.\r\nBuild required infrastructure for optimal extraction, transformation and loading of data from various data sources using CSP managed services and SQL technologies.\r\nDevelop and maintain data pipelines to ensure a continuous flow of high-quality data.\r\nData Migrations & Optimization Develop data migration strategies and schemas to lead customer migrations from on-prem to cloud technologies.\r\nPerform data migration activities.\r\nOptimize databases and data warehouses for efficient querying and data storage.\r\nData Analysis and Visualization Perform exploratory data analysis to uncover patterns, trends, and insights.\r\nCreate visualizations and reports to communicate findings effectively to stakeholders both internally and externally.\r\nCollaboration and Documentation Collaborate with cross-functional teams, including software engineers, domain experts, and business analysts, to understand requirements and deliver integrated solutions.\r\nCreate and maintain comprehensive documentation for code, algorithms, and models. Ensure that the knowledge is shared and accessible within the team.\r\nAct on client feedback constructively to improve services and outcomes.\r\nContinuously seek ways to enhance the overall customer experience.\r\nContinuous Learning and Innovation Stay updated on the latest developments in machine learning, data science, and analytics.\r\nDrive innovation by proposing and implementing new techniques and technologies.\r\nQualifications Solid understanding and experience with SQL and relational database concepts.\r\nSolid understanding of database technologies, data warehouses, and ETL tools (e.g., MySQL, PostgreSQL, Beam, Airflow, and Kafka).\r\nExperience with data analysis tools (e.g., Jupyter, Colab, Pandas).\r\nExperience with data visualization tools (e.g., Tableau, Looker, PowerBI, Qlik, SuperSet).\r\nPrevious experience developing data strategies and facilitating data migrations into production systems.\r\nExperience with cloud platforms (e.g., AWS, Azure, GCP).\r\nProficiency in programming languages such as Python, Java, or C++.\r\nStrong software engineering skills with an emphasis on writing clean, modular, and maintainable code.\r\nFamiliarity with version control systems (e.g., Git) and collaborative development workflows.\r\nExcellent problem-solving and critical-thinking skills.\r\nEffective communication skills and ability to work in a collaborative team environment.\r\nPreferred Qualifications Bachelor's or advanced degree in Computer Science, Data Science, Machine Learning, or a related field.\r\nExperience with other database technologies (e.g., NoSQL, Graph).\r\nAny of the below cloud certifications: Google Cloud Professional Cloud Architect\r\nGoogle Cloud Professional Database Engineer certification\r\nGoogle Cloud Professional Data EngineerExperience with additional data processing tools and technologies (e.g., Spark, Hadoop).\r\nKnowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).\r\nSalary Range : $102,850 - $170,000#J-18808-Ljbffr","datePosted":"2026-07-06T01:07:13.492Z","dateModified":"2026-07-06T01:07:13.492Z","hiringOrganization":{"@type":"Organization","name":"Noctua Technology","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"California","addressRegion":"MO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5bb84570fdd04af2c8d6da69"},"url":"https://jobsearcher.com/jobs/5bb84570fdd04af2c8d6da69"}}