{"schemaVersion":"jobsearcher.job.v1","id":"c35bc795d7850eadb343469f","url":"https://jobsearcher.com/jobs/c35bc795d7850eadb343469f","canonicalUrl":"https://jobsearcher.com/jobs/c35bc795d7850eadb343469f","title":"Senior Big Data Engineer","description":"Key Responsibilities\nDesign and develop scalable data pipelines and solutions using Python and PySpark.\nUtilize big data technologies such as Hadoop, Spark, Kafka, or similar tools for processing and analyzing large datasets.\nDevelop and maintain ETL processes to extract, transform, and load data into data lakes or warehouses.\nCollaborate with data engineers and scientists to implement machine learning models and algorithms.\nOptimize and tune data processing workflows for performance and efficiency.\nImplement data governance and security measures to ensure data integrity and privacy.\nCreate and maintain documentation for data pipelines, workflows, and processes.\nProvide technical leadership and mentorship to junior team members.\n\nSkills Required\nPython: Proficiency in Python programming for data manipulation and analysis.\nPySpark: Experience with PySpark for processing large-scale data.\nBig Data Technologies: Strong understanding and practical experience with big data technologies such as Hadoop, Spark, Kafka, etc.\nETL Processes: Knowledge of designing and implementing ETL processes for data integration.\nData Processing: Ability to work with large datasets, perform data cleansing, transformations, and aggregations.\nMachine Learning: Familiarity with machine learning concepts and experience implementing ML models.\nData Governance: Understanding of data governance principles and experience implementing data security measures.\nDocumentation: Ability to create clear and concise documentation for data pipelines and processes.\nCollaboration: Strong teamwork and collaboration skills to work with cross-functional teams.\nProblem-Solving: Analytical and problem-solving skills to optimize data workflows and processes.\nLeadership: For senior roles, the ability to provide technical leadership, mentorship, and guidance to junior team members.\nSQL: Knowledge of SQL for querying and manipulating data in databases.\nCloud Platforms: Experience with cloud platforms like AWS, Azure, or Google Cloud is a plus.\nEmployment Type\nFull Time\nTotal Compensation\nSalary Based on Experience\nLocations\nFowood MS\nWork Authorization\nAny","company":"Phasorsoft Group","rawCompany":"phasorsoft group","city":"State Line","state":"MS","isRemote":false,"isActive":false,"createdAt":"2026-08-06T11:54:53.260Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-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":"Senior Big Data Engineer","description":"Key Responsibilities\nDesign and develop scalable data pipelines and solutions using Python and PySpark.\nUtilize big data technologies such as Hadoop, Spark, Kafka, or similar tools for processing and analyzing large datasets.\nDevelop and maintain ETL processes to extract, transform, and load data into data lakes or warehouses.\nCollaborate with data engineers and scientists to implement machine learning models and algorithms.\nOptimize and tune data processing workflows for performance and efficiency.\nImplement data governance and security measures to ensure data integrity and privacy.\nCreate and maintain documentation for data pipelines, workflows, and processes.\nProvide technical leadership and mentorship to junior team members.\n\nSkills Required\nPython: Proficiency in Python programming for data manipulation and analysis.\nPySpark: Experience with PySpark for processing large-scale data.\nBig Data Technologies: Strong understanding and practical experience with big data technologies such as Hadoop, Spark, Kafka, etc.\nETL Processes: Knowledge of designing and implementing ETL processes for data integration.\nData Processing: Ability to work with large datasets, perform data cleansing, transformations, and aggregations.\nMachine Learning: Familiarity with machine learning concepts and experience implementing ML models.\nData Governance: Understanding of data governance principles and experience implementing data security measures.\nDocumentation: Ability to create clear and concise documentation for data pipelines and processes.\nCollaboration: Strong teamwork and collaboration skills to work with cross-functional teams.\nProblem-Solving: Analytical and problem-solving skills to optimize data workflows and processes.\nLeadership: For senior roles, the ability to provide technical leadership, mentorship, and guidance to junior team members.\nSQL: Knowledge of SQL for querying and manipulating data in databases.\nCloud Platforms: Experience with cloud platforms like AWS, Azure, or Google Cloud is a plus.\nEmployment Type\nFull Time\nTotal Compensation\nSalary Based on Experience\nLocations\nFowood MS\nWork Authorization\nAny","datePosted":"2026-08-06T11:54:53.260Z","dateModified":"2026-08-06T11:54:53.260Z","hiringOrganization":{"@type":"Organization","name":"Phasorsoft Group","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"State Line","addressRegion":"MS","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c35bc795d7850eadb343469f"},"url":"https://jobsearcher.com/jobs/c35bc795d7850eadb343469f"}}