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Quest Global · 5 days ago

Data & Analytics Engineer

Schenectady, NY

Full-time

Hybrid

Entry, Mid Level

$60K/yr - $75K/yr

2+ years exp

Quest Global delivers world-class end-to-end engineering solutions by leveraging industry knowledge and digital expertise. The Data & Analytics Engineer will build and maintain data pipelines and analytics layers to provide real-time, decision-grade intelligence across the organization.

ConsultingInformation ServicesOutsourcingSoftware

No H1B

Responsibilities

Engineer medallion/lakehouse data pipelines on Microsoft Fabric/OneLake with accuracy, security, and consistency; manage Gitbacked 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 Data-Ops: 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

Qualification

SQLMicrosoft FabricPower BIDAXData GovernanceData EngineeringPythonDevOps for BITelemetry-based Dashboarding

Required

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field; 2+ years in data engineering, BI, or analytics engineering

Strong proficiency in SQL, DAX, Power Query; dimensional/star-schema modeling; hands-on with Microsoft Fabric (Workspaces, Dataflows Gen2, Lakehouses, Notebooks) and Power BI deployment pipelines with Git

Ability to design and implement robust data governance (Purview lineage/classification, RLS/OLS, sensitivity labels) and workspace standards; experience with distributed teams

You must be able to commute to and from the location with your own transportation arrangements to meet the required working hours

Authorized to work in USA

Preferred

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