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SMART CALIBER TECHNOLOGY
Sr Data Engg Lead dev with Strong Databricks and Python experience 100% remoteSMART CALIBER TECHNOLOGY • Minneapolis, MN, United States
Sr Data Engg Lead dev with Strong Databricks and Python experience 100% remote

Sr Data Engg Lead dev with Strong Databricks and Python experience 100% remote

SMART CALIBER TECHNOLOGY • Minneapolis, MN, United States
30+ days ago
Job type
  • Full-time
  • Remote
Job description
Location :100% RemoteType :ContractIndustry :HealthcareClient is transitioning from SAS to Databricks to power next-generation actuarial analysis, underwriting, and risk modeling.We're seeking a Data Engineer to lead this transformation-refactoring legacy SAS pipelines, modernizing data architecture, and building scalable solutions on Databricks and Azure.What You'll DoMigrate and refactor SAS-based actuarial and underwriting models to DatabricksDesign and implement scalable data pipelines using Azure Data Factory, Synapse, and SparkCollaborate with actuarial teams, business stakeholders, and engineering peersOptimize performance, reliability, and agility of data workflowsContribute to real-time analytics and AI-driven innovation across health plan operationsRequired QualificationsBachelor's or Master's in Computer Science, Statistics, Applied Math, or related field5years of programming experience (SQL and Python required; Java, R, or Spark a plus)4years working with Databricks or similar cloud-native platformsHands-on experience with SAS-to-Databricks migration projectsStrong SQL skills and experience with Oracle, PostgreSQL, MySQL, or SQL ServerExperience with Git and collaborative development practicesProven ability to work cross-functionally and communicate with technical and business teamsExpertise in data management, software engineering, and infrastructure operationsPreferred SkillsHealthcare domain knowledgeAgile / Scrum experienceAzure ecosystem :Data Factory, Synapse, Purview, Cosmos, App Insights, Power BIPython libraries :NumPy, pandas, matplotlib; Jupyter notebooksCI / CD, ML Ops, and DataOps practicesEvent streaming tools :Kafka, NiFi, FlinkBig Data tools :Spark, Hive, SqoopNoSQL experience (MongoDB)Advanced Power BI modeling (Power Query, DAX).
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Sr Data Engg Lead dev with Strong Databricks and Python experience 100% remote • Minneapolis, MN, United States

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