{"schemaVersion":"jobsearcher.job.v1","id":"52dca0cd82d485ddf09a000e","url":"https://jobsearcher.com/jobs/52dca0cd82d485ddf09a000e","canonicalUrl":"https://jobsearcher.com/jobs/52dca0cd82d485ddf09a000e","title":"Big Data & Analytics Engineer","description":"Job Title: Big Data & Analytics EngineerLocation: RemoteFULLTIME & CONTRACT BOTHJob Summary:We are seeking a highly skilled Big Data & Analytics Engineer to design, develop, and manage large-scale data solutions.The ideal candidate will have hands-on experience with modern data platforms including Databricks, Snowflake, Talend, MarkLogic, and MDM tools, and a strong understanding of big data ecosystems.Key Responsibilities:Design, develop, and maintain scalable big data pipelines and architecturesWork with structured and unstructured data using MarkLogic and MDM solutionsDevelop and optimize ETL/ELT workflows using TalendBuild and manage data processing pipelines on Databricks (Apache Spark)Implement and maintain data warehousing solutions using SnowflakeEnsure data quality, governance, and consistency across systemsCollaborate with business stakeholders to translate data requirements into technical solutionsOptimize and troubleshoot performance issues in data pipelines and analytics systemsSupport data integration across various sources and platformsRequired Skills & Qualifications:Strong experience in Big Data technologies and distributed systems.Hands-on experience withDatabricks (Spark, Delta Lake)Snowflake (Data Warehousing, SQL)Talend (ETL Development)MarkLogic (NoSQL Database)MDM (Master Data Management tools/processes)Proficiency in SQL and Python/ScalaUnderstanding of data modeling, data lakes, and data warehousing conceptsExperience with data integration and API-based data exchangeFamiliarity with cloud platforms (Azure/AWS/GCP)Preferred Skills:Experience with data governance and data quality toolsKnowledge of real-time data processing frameworksExposure to BI/Analytics tools (Power BI, Tableau)Understanding of DevOps/DataOps practices","company":"AceStack","rawCompany":"acestack","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-06-02T02:29:53.327Z","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":"Big Data & Analytics Engineer","description":"Job Title: Big Data & Analytics EngineerLocation: RemoteFULLTIME & CONTRACT BOTHJob Summary:We are seeking a highly skilled Big Data & Analytics Engineer to design, develop, and manage large-scale data solutions.The ideal candidate will have hands-on experience with modern data platforms including Databricks, Snowflake, Talend, MarkLogic, and MDM tools, and a strong understanding of big data ecosystems.Key Responsibilities:Design, develop, and maintain scalable big data pipelines and architecturesWork with structured and unstructured data using MarkLogic and MDM solutionsDevelop and optimize ETL/ELT workflows using TalendBuild and manage data processing pipelines on Databricks (Apache Spark)Implement and maintain data warehousing solutions using SnowflakeEnsure data quality, governance, and consistency across systemsCollaborate with business stakeholders to translate data requirements into technical solutionsOptimize and troubleshoot performance issues in data pipelines and analytics systemsSupport data integration across various sources and platformsRequired Skills & Qualifications:Strong experience in Big Data technologies and distributed systems.Hands-on experience withDatabricks (Spark, Delta Lake)Snowflake (Data Warehousing, SQL)Talend (ETL Development)MarkLogic (NoSQL Database)MDM (Master Data Management tools/processes)Proficiency in SQL and Python/ScalaUnderstanding of data modeling, data lakes, and data warehousing conceptsExperience with data integration and API-based data exchangeFamiliarity with cloud platforms (Azure/AWS/GCP)Preferred Skills:Experience with data governance and data quality toolsKnowledge of real-time data processing frameworksExposure to BI/Analytics tools (Power BI, Tableau)Understanding of DevOps/DataOps practices","datePosted":"2026-06-02T02:29:53.327Z","dateModified":"2026-06-02T02:29:53.327Z","hiringOrganization":{"@type":"Organization","name":"AceStack","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New 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