CompassMSP
CompassMSP
CompassMSP — бизнеске және реттелетін салаларға басқарылатын IT, бұлтты инфрақұрылым, киберқауіпсіздік және консалтинг салаларында сараптамалық қызмет көрсететін АҚШ-та орналасқан басқарылатын қызметтер провайдері. Оның қызметтеріне толық басқарылатын және бірлесіп басқарылатын IT, Microsoft 365 қолдауы, Azure және AWS бұлтты стратегиясы мен көшіру, тәулік бойы жұмыс істейтін қызмет көрсету орталығының операциялары, резервтік көшіру және апаттан кейінгі қалпына келтіру, бірыңғай коммуникациялар, vCISO кеңестері, инциденттерге жауап беру, бопсалаушы бағдарламалардан қорғау және HIPAA, HITRUST пен CMMC сияқты құрылымдарға сәйкестікке дайындық кіреді. CompassMSP сонымен қатар бірнеше өңірлік кеңсе қолдайтын ұлттық ауқымды желі арқылы AI модернизациясы және қауіпсіз AI бастамаларымен жұмыс істейді.

Remote Data Analytics Engineer

Build and maintain CompassMSP’s Azure lakehouse and data portal for MSP operations, while moving reporting from legacy SQL Server and Power BI. The role also covers data pipelines, dashboards, internal applications, and AI capabilities.

Сипаттама

  • Direct roughly 60% of your work to backend development, 30% to front-end development, and 10% to business systems as needed.
  • Build and maintain CompassMSP’s internal data platform and lakehouse in Microsoft Azure.
  • Bring reporting together in the lakehouse and data portal.
  • Move active reports to the governed lakehouse and data portal as you phase out legacy SQL Server reporting and Power BI.
  • Keep data pipelines healthy and support the end-to-end data flow.
  • Create data models, reports, and dashboards that business users can trust.
  • Develop internal applications on the data platform.
  • Help build an AI layer that lets users ask questions about data in plain language.
  • Create reports on data health.
  • Work with the Director of Data & Analytics and colleagues across Service Delivery, Finance, Sales, Client Success, and Leadership.
  • Use AI coding assistants for development, code review, data exploration, and documentation, while taking responsibility for the quality and accuracy of your work.

Талаптар

  • At least 3 years of experience in data engineering, analytics engineering, or a related role.
  • Strong SQL skills, including T-SQL, with the ability to read and refactor stored procedures, views, and SQL Agent jobs.
  • Strong Python skills for data work and experience with DuckDB, Spark, pandas, or similar tools.
  • Hands-on experience with a cloud data platform, preferably Azure, and Delta Lake or a similar table format.
  • Sound data modeling skills, including dimensional models, medallion architecture, slowly changing dimensions, and conformed metrics.
  • Experience building ELT pipelines from REST APIs and SaaS systems.
  • Experience migrating reports or data workloads between platforms, with a structured process for reconciliation and sign-off.
  • Experience creating reports and dashboards for business users and turning broad questions into precise metrics.
  • Comfort using Git, pull requests, and code review.
  • A habit of reconciling figures before relying on them.
  • Preferred: Experience in an MSP or IT services company, or with ConnectWise, Sage Intacct, or HiBob data.
  • Preferred: Experience administering or using data from Salesforce, Gong, Cognism, or HubSpot.
  • Preferred: In-depth Power BI experience, including DAX, semantic models, REST and XMLA APIs, and usage metrics.
  • Preferred: Experience retiring legacy systems, including mapping dependencies, coordinating stakeholders, and archiving.
  • Preferred: Experience with Microsoft Fabric, Azure Container Apps, or Docker.
  • Preferred: Web development experience with JavaScript, HTML, and CSS, plus Azure Static Web Apps or App Service.
  • Preferred: Experience with data quality and observability tools such as dbt tests, Great Expectations, or custom checks.
  • Preferred: Experience building with LLM APIs, retrieval-augmented generation, or semantic layers.
  • Preferred: Experience with CI/CD using GitHub Actions.

Артықшылықтар

  • Competitive annual salary
  • Quarterly bonuses
  • Progressive paid time off
  • Medical, dental, vision, life, and disability coverage available
  • 401(k) with company match
  • Career development and coaching

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