Join to apply for the Data & Analytics Engineers role at Quest Global Who We Are Quest Global delivers world‑class end‑to‑end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside diverse individuals, we solve problems better and faster. We serve aerospace & defense, automotive, energy, hi‑tech, healthcare, medical devices, rail and semiconductor industries. Purpose Build the data backbone that powers engineering insight, innovation, and execution—designing, maintaining, and evolving pipelines, semantic models, and analytics layers that deliver trusted, real‑time, decision‑grade intelligence across the organization. What You Will Own Daily Operational dashboards for value streams; headcount/staffing analytics; attrition/retention models; innovation pipeline tracking; 5× tool usage metrics; portfolio ROI and productivity insights. What You Will Do Engineer medallion/lakehouse data pipelines on Microsoft Fabric/OneLake with accuracy, security, and consistency; manage Git‑backed artifacts and deployment pipelines across dev/test/prod. Build and maintain semantic models that unify engineering, HR, financial, and operational datasets; deliver data products with clear SLAs/SLOs (freshness, completeness, accuracy) and semantic conventions. Implement enterprise lineage and classification with Microsoft Purview; enforce RLS/OLS, sensitivity labels, and auditable approvals for certified content. Integrate core systems: HRIS (e.g., Workday), finance (e.g., SAP, PLM), engineering (Azure DevOps/Jira, CLM, PLM), and tool telemetry (App Insights/GitHub/Copilot) as governed domains. Optimize performance end‑to‑end: query folding, composite models, incremental refresh, DAX tuning, model compression, OneLake layout, and capacity/cost management; introduce caching/cubes for high read workloads. Deliver near real‑time dashboards where required via streaming/short latency ingestion and appropriate refresh strategies. Operationalize DataOps: automated data/dataset tests, DAX/Power Query unit tests, schema change detection, and deployment gates in Fabric pipelines/Power BI deployment pipelines. Champion data literacy via playbooks, certified content catalogs, and office hours; measure consumer NPS and adoption. What You Will Bring Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field; 2+ years in data engineering, BI, or analytics engineering. Ability to design and implement robust data governance (Purview lineage/classification, RLS/OLS, sensitivity labels) and workspace standards; experience with distributed teams. Bonus: Python, DevOps for BI, telemetry‑based dashboarding; familiarity with vectorization/embedding pipelines to support RAG style analytics and copilots in partnership with AI teams. Pay Range $60,000 to $80,000 Annually Compensation decisions are made based on factors including experience, skills, education, and other job‑related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan. Work Requirements You must be able to commute to and from the location with your own transportation arrangements to meet the required working hours. Shop floor environment, which may include but not limited to extensive walking, and ability to lift up to 40 lbs. Travel Requirements None expected; As‑Needed Work Authorization Authorized to work in USA or posted locations Benefits 401(k) 401(k) matching Dental insurance Health insurance Life insurance Paid time off Referral program Job Function Information Technology #J-18808-Ljbffr