{"schemaVersion":"jobsearcher.job.v1","id":"4d9046c8e997b14e983d95cb","url":"https://jobsearcher.com/jobs/4d9046c8e997b14e983d95cb","canonicalUrl":"https://jobsearcher.com/jobs/4d9046c8e997b14e983d95cb","title":"Software Engineer - Analytics","description":"Overview\nIn this role you will design, build, and operate end-to-end analytics pipelines that move from prototype to production. You will write production-grade Python, implement robust deployment architectures across Databricks, Azure and containers, and ensure monitoring and governance for reliable analytics. You will collaborate with data scientists, domain experts, and business stakeholders to deliver scalable, secure analytics solutions for OT/IoT data. This opportunity combines software engineering, analytics, and cloud deployment to drive measurable business outcomes and innovation.\n\nCompensation / Benefitsmedical, dental, vision, basic life insuranceflexible work arrangementspaid family leaves12 holidays per year15 days of paid time off per year401(k) with match\nResponsibilitiesDesign, build, and maintain end-to-end analytics pipelines from development through deployment and monitoringWrite production-quality Python code with testing, logging, and error handlingDesign deployment architectures for Databricks, Azure, containers, and other cloud environmentsImplement orchestration patterns including routing, handoffs, fallback logic, and failure handlingDevelop resilient analytics capable of handling data quality and availability challengesBuild and support analytics using time-series data from OT, IoT, and industrial systemsDevelop CI/CD pipelines using GitHub Actions, Azure DevOps, or similarEstablish monitoring, observability, and operational support for analytics applications and pipelinesPerform data analysis using SQL to support AI and pipeline developmentDevelop operational dashboards and visualizations to monitor performance, health, and outcomesCollaborate with engineering, analytics, product, and business teams to deliver scalable solutionsApply security, governance, and Responsible AI practices including access controls and data protection\nKey requirementsBackground in Software Engineering, Analytics Engineering, Data Engineering, AI Engineering, or related fieldStrong Python skills with design patterns, testing, packaging, logging, and API integrationHands-on experience building, deploying, and supporting production software or analytics solutionsExperience designing and maintaining deployment pipelines, CI/CD, monitoring, and operationsExperience with time-series data and industrial/IoT/OT data sourcesUnderstanding of operational data challenges (missing/delayed/noisy data)Knowledge of electrical power, energy systems, industrial automation, or related engineering domainsExperience deploying containerized and cloud-native architecturesExperience designing solutions across Databricks, Azure, and similar environmentsExperience with GitHub Actions, Azure DevOps, or equivalent CI/CD platformsStrong SQL (Spark SQL / Delta; relational databases a plus)Familiarity with Power BI, Tableau, or LookerBachelor's degree with 5+ years of experience, or Master's with 3+ yearscollaborationproblem-solvingcommunicationPythonCI/CDDatabricks","company":"Schneider Electric","rawCompany":"schneider electric","city":"Salem","state":"MA","isRemote":false,"isActive":false,"createdAt":"2026-09-15T03:38:40.233Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"Software Engineer - Analytics","description":"Overview\nIn this role you will design, build, and operate end-to-end analytics pipelines that move from prototype to production. You will write production-grade Python, implement robust deployment architectures across Databricks, Azure and containers, and ensure monitoring and governance for reliable analytics. You will collaborate with data scientists, domain experts, and business stakeholders to deliver scalable, secure analytics solutions for OT/IoT data. This opportunity combines software engineering, analytics, and cloud deployment to drive measurable business outcomes and innovation.\n\nCompensation / Benefitsmedical, dental, vision, basic life insuranceflexible work arrangementspaid family leaves12 holidays per year15 days of paid time off per year401(k) with match\nResponsibilitiesDesign, build, and maintain end-to-end analytics pipelines from development through deployment and monitoringWrite production-quality Python code with testing, logging, and error handlingDesign deployment architectures for Databricks, Azure, containers, and other cloud environmentsImplement orchestration patterns including routing, handoffs, fallback logic, and failure handlingDevelop resilient analytics capable of handling data quality and availability challengesBuild and support analytics using time-series data from OT, IoT, and industrial systemsDevelop CI/CD pipelines using GitHub Actions, Azure DevOps, or similarEstablish monitoring, observability, and operational support for analytics applications and pipelinesPerform data analysis using SQL to support AI and pipeline developmentDevelop operational dashboards and visualizations to monitor performance, health, and outcomesCollaborate with engineering, analytics, product, and business teams to deliver scalable solutionsApply security, governance, and Responsible AI practices including access controls and data protection\nKey requirementsBackground in Software Engineering, Analytics Engineering, Data Engineering, AI Engineering, or related fieldStrong Python skills with design patterns, testing, packaging, logging, and API integrationHands-on experience building, deploying, and supporting production software or analytics solutionsExperience designing and maintaining deployment pipelines, CI/CD, monitoring, and operationsExperience with time-series data and industrial/IoT/OT data sourcesUnderstanding of operational data challenges (missing/delayed/noisy data)Knowledge of electrical power, energy systems, industrial automation, or related engineering domainsExperience deploying containerized and cloud-native architecturesExperience designing solutions across Databricks, Azure, and similar environmentsExperience with GitHub Actions, Azure DevOps, or equivalent CI/CD platformsStrong SQL (Spark SQL / Delta; relational databases a plus)Familiarity with Power BI, Tableau, or LookerBachelor's degree with 5+ years of experience, or Master's with 3+ yearscollaborationproblem-solvingcommunicationPythonCI/CDDatabricks","datePosted":"2026-09-15T03:38:40.233Z","dateModified":"2026-09-15T03:38:40.233Z","hiringOrganization":{"@type":"Organization","name":"Schneider Electric","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Salem","addressRegion":"MA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4d9046c8e997b14e983d95cb"},"url":"https://jobsearcher.com/jobs/4d9046c8e997b14e983d95cb"}}