Manager Data Engineer
🚨 Title: Manager Data Engineer / Principal Data Engineer 🚨📍 Location: Remote💼 Type: ContractAbout Smart IT Frame:At Smart IT Frame, we connect top talent with leading organizations across the USA. With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering both clients and candidates to grow together.Job Summary:We are seeking a strong technical data engineering leader to design, build, and evolve modern cloud-based data platforms and scalable data solutions supporting analytics, reporting, data science, and AI initiatives.🔑 Top Skills Required:Snowflake – Enterprise Data WarehousingAWS – S3, CLI, Lambda, DynamoDBData Vault ModelingPython & Data Engineering Automationdbt, Qlik Replicate, InfoSphere DataStage, CP4DLarge-Scale Data Integration & Data PipelinesAPI Development & Data MigrationData Governance, Metadata & LineageInsurance Business Data Domain🛠️ Key Responsibilities:Lead and mentor the Data Engineering squad and drive engineering excellenceDesign, build, and optimize scalable data pipelines and enterprise data solutionsDevelop cloud-based data lakes, data warehouses, and enterprise data platformsDesign scalable and auditable data structures using Data VaultBuild data ingestion, transformation, cleansing, standardization, deduplication, and data quality processesSupport structured and unstructured data processing across complex environmentsDevelop large-scale data integration and API-based data servicesEnable trusted data foundations for analytics, ML, and AI use casesEstablish data quality, validation, monitoring, metadata, and lineage processesApply Git, DevOps, Agile, and modern software engineering practicesSupport enterprise data governance, management, and security requirementsEvaluate emerging technologies and recommend scalable solutionsPartner with senior business and technology stakeholders on strategic initiativesProvide technical leadership and mentor engineers across multiple initiatives✅ Required Qualifications:8+ years of progressive Data Engineering experienceStrong experience with Snowflake and analytics-focused data warehouse environmentsExtensive hands-on AWS data engineering experienceDeep expertise in Data Vault and enterprise data modelingStrong Python and scripting skillsExperience with dbt, Qlik Replicate, InfoSphere DataStage, and CP4DProven experience with large-scale data ingestion, transformation, cleansing, and integrationStrong API development and data migration experienceExperience with Git, DevOps, SDLC, and Agile practicesStrong understanding of data governance, metadata, lineage, and data securityProven technical leadership, mentoring, and stakeholder management experienceBachelor’s degree in computer science, Information Systems, or related field, or equivalent experience📩 Interested Candidate? Apply today or share profiles at mario.i@smartitframe.com