{"schemaVersion":"jobsearcher.job.v1","id":"0a8da4cbbfee12d80cfbbcf1","url":"https://jobsearcher.com/jobs/0a8da4cbbfee12d80cfbbcf1","canonicalUrl":"https://jobsearcher.com/jobs/0a8da4cbbfee12d80cfbbcf1","title":"Senior Data Engineer","description":"We are seeking a highly experienced Senior Data Engineer with a strong background in big data technologies, data modeling, and ETL development.\r\nThe ideal candidate will have over 10 years of experience in data engineering and analysis, with hands-on expertise in the Hadoop ecosystem, Python, Kafka, and cloud-based data processing.\r\nThis role requires strong communication skills and the ability to work in Agile environments, with a preference for candidates located in Cleveland or Pittsburgh.\r\nKey Responsibilities\r\nDesign, develop, and maintain scalable data pipelines and ETL processes.\r\nWork extensively with the Hadoop ecosystem including Hadoop, PySpark, HBase, Hive, Pig, Sqoop, Scala, Flume, HDFS, and MapReduce.\r\nDevelop and optimize data workflows using Python and Kafka.\r\nApply strong knowledge of data modeling, data design, and database concepts.\r\nPerform data pre-processing, extraction, ingestion, normalization, quality checks, and loading.\r\nCollaborate with cross-functional teams and stakeholders in Agile development environments.\r\nParticipate in client-facing discussions, providing technical leadership and coordination across the SDLC.\r\nContribute to the design and implementation of machine learning and AI solutions (preferred).\r\nLeverage AWS for data processing and analytics (preferred).\r\nUtilize data modeling tools such as Erwin (preferred).\r\nRequired Qualifications 10+ years of experience in Data Engineering and Data Analysis.\r\nHands-on experience with the Hadoop stack and related technologies.\r\nProficiency in Python and Kafka.\r\nStrong understanding of ETL processes, data quality, and data normalization.\r\nExperience working in Agile methodologies and tools like Jira.\r\nExcellent communication and leadership skills in client-facing roles.\r\nBachelor's or Master's degree in Computer Science or a related field.\r\nPreferred Qualifications Experience with machine learning models and AI.\r\nFamiliarity with AWS data services and cloud-based analytics.\r\nExperience using Erwin or similar data modeling tools.\r\nPreferred location: Cleveland or Pittsburgh.\r\nJ-18808-Ljbffr","company":"Compunnel","rawCompany":"compunnel","city":"Akron","state":"OH","isRemote":false,"isActive":true,"createdAt":"2026-06-25T00:53:37.131Z","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 Data Engineer","description":"We are seeking a highly experienced Senior Data Engineer with a strong background in big data technologies, data modeling, and ETL development.\r\nThe ideal candidate will have over 10 years of experience in data engineering and analysis, with hands-on expertise in the Hadoop ecosystem, Python, Kafka, and cloud-based data processing.\r\nThis role requires strong communication skills and the ability to work in Agile environments, with a preference for candidates located in Cleveland or Pittsburgh.\r\nKey Responsibilities\r\nDesign, develop, and maintain scalable data pipelines and ETL processes.\r\nWork extensively with the Hadoop ecosystem including Hadoop, PySpark, HBase, Hive, Pig, Sqoop, Scala, Flume, HDFS, and MapReduce.\r\nDevelop and optimize data workflows using Python and Kafka.\r\nApply strong knowledge of data modeling, data design, and database concepts.\r\nPerform data pre-processing, extraction, ingestion, normalization, quality checks, and loading.\r\nCollaborate with cross-functional teams and stakeholders in Agile development environments.\r\nParticipate in client-facing discussions, providing technical leadership and coordination across the SDLC.\r\nContribute to the design and implementation of machine learning and AI solutions (preferred).\r\nLeverage AWS for data processing and analytics (preferred).\r\nUtilize data modeling tools such as Erwin (preferred).\r\nRequired Qualifications 10+ years of experience in Data Engineering and Data Analysis.\r\nHands-on experience with the Hadoop stack and related technologies.\r\nProficiency in Python and Kafka.\r\nStrong understanding of ETL processes, data quality, and data normalization.\r\nExperience working in Agile methodologies and tools like Jira.\r\nExcellent communication and leadership skills in client-facing roles.\r\nBachelor's or Master's degree in Computer Science or a related field.\r\nPreferred Qualifications Experience with machine learning models and AI.\r\nFamiliarity with AWS data services and cloud-based analytics.\r\nExperience using Erwin or similar data modeling tools.\r\nPreferred location: Cleveland or Pittsburgh.\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T00:53:37.131Z","dateModified":"2026-06-25T00:53:37.131Z","hiringOrganization":{"@type":"Organization","name":"Compunnel","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Akron","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0a8da4cbbfee12d80cfbbcf1"},"url":"https://jobsearcher.com/jobs/0a8da4cbbfee12d80cfbbcf1"}}