{"schemaVersion":"jobsearcher.job.v1","id":"9fb8727f146eb8ff9181396f","url":"https://jobsearcher.com/jobs/9fb8727f146eb8ff9181396f","canonicalUrl":"https://jobsearcher.com/jobs/9fb8727f146eb8ff9181396f","title":"Lead Big Data Engineer","description":"Job Overview\r\nJob ID: J51851\r\nJob Title: Data Engineering Tech Lead - Hadoop\r\nLocation: Cleveland, OH\r\nDuration: 12 Months + Extension\r\nHourly Rate: Depending on Experience (DOE)\r\nWork Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD\r\nClient: To Be Discussed Later\r\nEmployment Type: W-2, 1099, C2C\r\nKey Roles & Responsibilities\r\nLead and oversee the end-to-end design, implementation, and optimization of data pipelines supporting key customer onboarding, transaction, and decisioning workflows.\r\nArchitect and implement data ingestion, transformation, and storage frameworks leveraging Hadoop, Avro, and distributed data processing technologies.\r\nPartner with product, analytics, and technology teams to translate business requirements into scalable data engineering solutions that enhance real-time data accessibility and reliability.\r\nProvide technical leadership and mentorship to a team of data engineers, ensuring adherence to coding, performance, and data quality standards.\r\nDesign and implement robust data frameworks to support next-generation customer and business product launches.\r\nDevelop best practices for data governance, security, and compliance aligned with enterprise and regulatory requirements.\r\nDrive optimization of existing data pipelines and workflows for improved efficiency, scalability, and maintainability.\r\nCollaborate closely with analytics and risk modeling teams to ensure data readiness for predictive insights and strategic decision-making.\r\nEvaluate and integrate emerging data technologies to future-proof the data platform and enhance performance.\r\nMust-Have Skills\r\n8-10 years of experience in data engineering, with at least 2-3 years in a technical leadership role.\r\nStrong expertise in the Hadoop ecosystem (HDFS, Hive, MapReduce, HBase, Pig, etc.).\r\nExperience working with Avro, Parquet, or other serialization formats.\r\nProven ability to design and maintain ETL / ELT pipelines using tools such as Spark, Flink, Airflow, or NiFi.\r\nProficiency in Python, Scala for large-scale data processing.\r\nStrong understanding of data modeling, data warehousing, and data lake architectures.\r\nHands-on experience with SQL and both relational and NoSQL data stores.\r\nCloud data platform experience with AWS.\r\nDeep understanding of data security, compliance, and governance frameworks.\r\nExcellent problem-solving, communication, and leadership skills.\r\nEqual Opportunity Employer\r\nMACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract\r\nJ-18808-Ljbffr","company":"Machine Learning Technologies","rawCompany":"machine learning technologies","city":"Akron","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-08-13T02:05:45.308Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Big Data Engineer","description":"Job Overview\r\nJob ID: J51851\r\nJob Title: Data Engineering Tech Lead - Hadoop\r\nLocation: Cleveland, OH\r\nDuration: 12 Months + Extension\r\nHourly Rate: Depending on Experience (DOE)\r\nWork Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD\r\nClient: To Be Discussed Later\r\nEmployment Type: W-2, 1099, C2C\r\nKey Roles & Responsibilities\r\nLead and oversee the end-to-end design, implementation, and optimization of data pipelines supporting key customer onboarding, transaction, and decisioning workflows.\r\nArchitect and implement data ingestion, transformation, and storage frameworks leveraging Hadoop, Avro, and distributed data processing technologies.\r\nPartner with product, analytics, and technology teams to translate business requirements into scalable data engineering solutions that enhance real-time data accessibility and reliability.\r\nProvide technical leadership and mentorship to a team of data engineers, ensuring adherence to coding, performance, and data quality standards.\r\nDesign and implement robust data frameworks to support next-generation customer and business product launches.\r\nDevelop best practices for data governance, security, and compliance aligned with enterprise and regulatory requirements.\r\nDrive optimization of existing data pipelines and workflows for improved efficiency, scalability, and maintainability.\r\nCollaborate closely with analytics and risk modeling teams to ensure data readiness for predictive insights and strategic decision-making.\r\nEvaluate and integrate emerging data technologies to future-proof the data platform and enhance performance.\r\nMust-Have Skills\r\n8-10 years of experience in data engineering, with at least 2-3 years in a technical leadership role.\r\nStrong expertise in the Hadoop ecosystem (HDFS, Hive, MapReduce, HBase, Pig, etc.).\r\nExperience working with Avro, Parquet, or other serialization formats.\r\nProven ability to design and maintain ETL / ELT pipelines using tools such as Spark, Flink, Airflow, or NiFi.\r\nProficiency in Python, Scala for large-scale data processing.\r\nStrong understanding of data modeling, data warehousing, and data lake architectures.\r\nHands-on experience with SQL and both relational and NoSQL data stores.\r\nCloud data platform experience with AWS.\r\nDeep understanding of data security, compliance, and governance frameworks.\r\nExcellent problem-solving, communication, and leadership skills.\r\nEqual Opportunity Employer\r\nMACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract\r\nJ-18808-Ljbffr","datePosted":"2026-08-13T02:05:45.308Z","dateModified":"2026-08-13T02:05:45.308Z","hiringOrganization":{"@type":"Organization","name":"Machine Learning Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Akron","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9fb8727f146eb8ff9181396f"},"url":"https://jobsearcher.com/jobs/9fb8727f146eb8ff9181396f"}}