Data & Analytics Engineers

Quest Global; City of Schenectady (NY); Presencial; USD 60.000 - 80.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

401(k)

401(k) matching

Dental insurance

Health insurance

Life insurance

Paid time off

Referral program

Descripción de la vacante

A leading engineering solutions firm is seeking Data & Analytics Engineers to build the data backbone that powers engineering insight and innovation. This role includes designing and maintaining data pipelines, integrating core systems, and operationalizing data governance standards. The ideal candidate has a bachelor’s degree in Computer Science or related fields and over two years of experience in data engineering or analytics. The salary ranges from $60,000 to $80,000 annually with a comprehensive benefits package.

Formación

• 2+ years in data engineering, BI, or analytics engineering.
• Ability to design and implement robust data governance.
• Experience with distributed teams.

Responsabilidades

• Engineer medallion data pipelines on Microsoft Fabric with accuracy and security.
• Build and maintain semantic models that unify different datasets.
• Deliver near real-time dashboards via streaming ingestion.

Conocimientos

Data governance

Data modeling

Data literacy

Python

DevOps for BI

Educación

Bachelor’s in Computer Science, Data Engineering, or related field

Herramientas

Microsoft Fabric

Power BI

SAP

Azure DevOps

Git

Descripción del empleo

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