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Senior Cloud Data Engineer - Hybrid

MSYS Inc.Raleigh, NC🇺🇸United StatesPosted 15 Sept 2026

Why This Role Stands Out

This Senior Cloud Data Engineer role offers a fantastic opportunity to modernize enterprise data pipelines and build scalable cloud-native services within a highly reputable company. You'll thrive here if you're a skilled engineer eager to enhance your expertise in cloud data warehousing and contribute to critical data governance initiatives. The hybrid work model provides excellent flexibility, making this a compelling position to explore.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Raleigh, NC, United States
Posted
Yesterday
AWSETLAzureHIPAA

Job Description

Title:Senior Cloud Data Engineer - Hybrid
Location:Raleigh,NC
Length:Long term
Restriction:w2 or c2c
 
 
 
 
 
Description:

*** Mode of Interview :Webcam Interview Only *** Very long term project (initial PO for 1 year, expect to go for 4+ years) ***Hybrid (3Days per Week Onsite) at Raleigh-NC*** Preferres Local Or Nearer to NC candidates***

Job Description:-

Key Responsibilities:-

  • The Cloud Engineer designs, implements, and modernizes the enterprise landing zone, cloud ingestion patterns, and secure data pipelines
  • Re-engineers legacy feeds such as SFTP, Azure Blob, and batch pathways into scalable, automated, cloud-native services aligned with state security policies and compliance requirements
  • Collaborates with architects, security teams, vendors, and agency partners to ensure reliable, secure, standardized pipelines from ingestion through transformation and delivery
  • Drives operational support across the full lifecycle
  • Builds and maintains cloud-based data warehouse capabilities, including medallion structures (Bronze, Silver, Gold), to enable governed, analytics-ready transformations
  • Defines storage and partitioning conventions for performance and traceability
  • Promotes governance alignment and privacy controls across frameworks such as HIPAA, CJIS, and NIST
  • Serves as the division's ETL subject matter expert on metadata, lineage, and modeling
  • Advances innovation by evaluating emerging tools and AI-assisted development to improve reliability, efficiency, and readiness for future capabilities.

Skills/Requirements:-

  • Cloud data engineering and integration, including modern lakehouse and medallion architectures Required 5 Years
  • ETL and pipeline development with robust orchestration, error handling, validation, and lineage Required 5 Years
  • Data quality, metadata management, and governance practices to ensure accuracy and compliance Required 3 Years
  • Security and privacy alignment across frameworks such as HIPAA, CJIS, and NIST, plus DevSecOps awareness Required 3 Years
  • Networking and cloud platform fundamentals, identity and access management, and distributed compute and storage in Azure, AWS, or SAS Viya Required 3 Years

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