{"schemaVersion":"jobsearcher.job.v1","id":"2dee26b20ad2ef546982d2dc","url":"https://jobsearcher.com/jobs/2dee26b20ad2ef546982d2dc","canonicalUrl":"https://jobsearcher.com/jobs/2dee26b20ad2ef546982d2dc","title":"Senior Data & Analytics Engineer","description":"We are looking for a self-driven, motivated, and results-oriented professional to join our dynamic team as a Sr. Data & Analytics Engineer. Please find the role details below;\nKey Responsibilities Design, develop, andoptimizedata pipelines and ETL processes for efficient data ingestion, transformation, and integration from multiple sources.\nManage andmaintaindata warehouses and data lakes, ensuring accuracy, availability, and security.\nWork closely with business stakeholders, data analysts, and data scientists to translate business needs into technical solutions.\nImplement data quality frameworks,monitoringsystems, and performance tuning.\nContribute to data modeling, architecture, and governance best practices.\nSupport the development of dashboards, reports, and analytical models toprovideactionable insights.\nMentor junior engineers and foster a culture of collaboration and technical excellence within the data team.\nKey Specifications Strong experience in SQL, Python.Familiarity with data warehousing technologies (e.g., Snowflake, Redshift,BigQuery) and ETL tools (e.g., Apache Airflow, Talend,Fivetran).\nExperience with data visualization tools such as Tableau, Power BI, or Looker.\nKnowledge of cloud-based platforms (AWS, Google Cloud, Azure) and associated data services.\nExperience with Hadoop, Spark, Kafka, or other big data technologies is a plus.\nStrong understanding of relational databases, data modeling concepts, and designing data architectures.\nAbility to analyze complex data sets andidentifytrends, correlations, and insights.\nExcellent verbal and written communication skills, with the ability to explain complex data concepts to non-technical stakeholders.\nBachelor’s degree in Computer Science, Engineering, Data Science, or a related field (Master’spreferred).\n4+ years of experience in data engineering or a related field, preferably in analytics or business intelligence.\nStrong experience working with large datasets and complex data pipelines.\nPreviousexperience in a similar industry or field is a plus.\nJoin a diverse group of thinkers and experts to make a difference.\n#J-18808-Ljbffr","company":"Ycotek","rawCompany":"ycotek","city":"Minneapolis","state":"MN","isRemote":false,"isActive":true,"createdAt":"2026-07-28T03:14:05.542Z","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 & Analytics Engineer","description":"We are looking for a self-driven, motivated, and results-oriented professional to join our dynamic team as a Sr. Data & Analytics Engineer. Please find the role details below;\nKey Responsibilities Design, develop, andoptimizedata pipelines and ETL processes for efficient data ingestion, transformation, and integration from multiple sources.\nManage andmaintaindata warehouses and data lakes, ensuring accuracy, availability, and security.\nWork closely with business stakeholders, data analysts, and data scientists to translate business needs into technical solutions.\nImplement data quality frameworks,monitoringsystems, and performance tuning.\nContribute to data modeling, architecture, and governance best practices.\nSupport the development of dashboards, reports, and analytical models toprovideactionable insights.\nMentor junior engineers and foster a culture of collaboration and technical excellence within the data team.\nKey Specifications Strong experience in SQL, Python.Familiarity with data warehousing technologies (e.g., Snowflake, Redshift,BigQuery) and ETL tools (e.g., Apache Airflow, Talend,Fivetran).\nExperience with data visualization tools such as Tableau, Power BI, or Looker.\nKnowledge of cloud-based platforms (AWS, Google Cloud, Azure) and associated data services.\nExperience with Hadoop, Spark, Kafka, or other big data technologies is a plus.\nStrong understanding of relational databases, data modeling concepts, and designing data architectures.\nAbility to analyze complex data sets andidentifytrends, correlations, and insights.\nExcellent verbal and written communication skills, with the ability to explain complex data concepts to non-technical stakeholders.\nBachelor’s degree in Computer Science, Engineering, Data Science, or a related field (Master’spreferred).\n4+ years of experience in data engineering or a related field, preferably in analytics or business intelligence.\nStrong experience working with large datasets and complex data pipelines.\nPreviousexperience in a similar industry or field is a plus.\nJoin a diverse group of thinkers and experts to make a difference.\n#J-18808-Ljbffr","datePosted":"2026-07-28T03:14:05.542Z","dateModified":"2026-07-28T03:14:05.542Z","hiringOrganization":{"@type":"Organization","name":"Ycotek","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Minneapolis","addressRegion":"MN","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2dee26b20ad2ef546982d2dc"},"url":"https://jobsearcher.com/jobs/2dee26b20ad2ef546982d2dc"}}