{"schemaVersion":"jobsearcher.job.v1","id":"223655f704547b9b9cdcc203","url":"https://jobsearcher.com/jobs/223655f704547b9b9cdcc203","canonicalUrl":"https://jobsearcher.com/jobs/223655f704547b9b9cdcc203","title":"Analytics Engineer","description":"Data EngineerMajor Duties:• Can be both a hands-on and strategic data leader. You are close enough to the details to have an extensive understanding of data all the way from source to integration to governance to visualization, but you are also a big picture thinker who can advise clients on their most strategic data initiatives.• Detailed design and hands-on implementation of data pipelines, data ingestion and ETL processes that are scalable, repeatable and secure.• Under the guidance of the architect, implement solutions to support data management strategies fulfilling variety of business intelligence and data analytics needs.Primary Qualifications (Must have strong knowledge and experience):Python for data engineering: advanced level experience developing highly performant data pipelines, utilizing packages such as (but not limited to) Pandas, Kedro, Dask. (5+ years)SQL: advanced level. (5+ years)Experience with Python API development for ML with libraries such as Flask or FastAPI: advanced level. (3+ years)Secondary Qualifications:Experience with columnar file formats like Parquet and/or ORC. (2+ years)Unix shell scripting (bash). (2+ years)Container-based development. (2+ years)CI/CD framework and tools. (2+ years)Git version control. (2+ years)Added Advantage to Candidates Who Have Experience With:ML/AI frameworks and the supporting Python packages.Experience developing data pipelines via SQL and Python-based ETL framework, on-premise and in the cloud.Working knowledge of cloud platforms.Advanced analytics and machine learning.BI and visualization tools such as Tableau, PowerBI and Cognos.","company":"Software Technology","rawCompany":"software technology","city":"Chicago","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-06-26T03:30:46.403Z","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":"Analytics Engineer","description":"Data EngineerMajor Duties:• Can be both a hands-on and strategic data leader. You are close enough to the details to have an extensive understanding of data all the way from source to integration to governance to visualization, but you are also a big picture thinker who can advise clients on their most strategic data initiatives.• Detailed design and hands-on implementation of data pipelines, data ingestion and ETL processes that are scalable, repeatable and secure.• Under the guidance of the architect, implement solutions to support data management strategies fulfilling variety of business intelligence and data analytics needs.Primary Qualifications (Must have strong knowledge and experience):Python for data engineering: advanced level experience developing highly performant data pipelines, utilizing packages such as (but not limited to) Pandas, Kedro, Dask. (5+ years)SQL: advanced level. (5+ years)Experience with Python API development for ML with libraries such as Flask or FastAPI: advanced level. (3+ years)Secondary Qualifications:Experience with columnar file formats like Parquet and/or ORC. (2+ years)Unix shell scripting (bash). (2+ years)Container-based development. (2+ years)CI/CD framework and tools. (2+ years)Git version control. (2+ years)Added Advantage to Candidates Who Have Experience With:ML/AI frameworks and the supporting Python packages.Experience developing data pipelines via SQL and Python-based ETL framework, on-premise and in the cloud.Working knowledge of cloud platforms.Advanced analytics and machine learning.BI and visualization tools such as Tableau, PowerBI and Cognos.","datePosted":"2026-06-26T03:30:46.403Z","dateModified":"2026-06-26T03:30:46.403Z","hiringOrganization":{"@type":"Organization","name":"Software Technology","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"223655f704547b9b9cdcc203"},"url":"https://jobsearcher.com/jobs/223655f704547b9b9cdcc203"}}