W2 Data Engineer | NO C2C
Job in
Phoenix, Maricopa County, Arizona, 85003, USA
Listed on 2026-09-12
Listing for:
Inabia Software & Consulting Inc.
Full Time
position Listed on 2026-09-12
Job specializations:
-
IT/Tech
Database Administrator, Data Engineering, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
- Job Title:
Data Engineer — Database, Cloud & Application Architecture - Client:
Confidential end client - Duration:
Long Term - Location :
Phoenix, AZ — Day 1 onsite (fully onsite, no hybrid/remote) - Rate : TBD — confirm with account team before submitting
- NO C2C
The client is seeking an experienced Data Engineer with strong expertise across data engineering, databases, cloud platforms, and application architecture. The ideal candidate has hands-on experience building scalable data pipelines and platforms, strong SQL and data modeling skills, working Python knowledge, and exposure to AI/ML and Generative AI technologies. This person will work closely with application architects, database architects, cloud engineers, data scientists, and application development teams to design and implement reliable, scalable, secure, high-performance data solutions.
KEY RESPONSIBILITIES- Design and define enterprise-level database architectures, standards, patterns, and best practices
- Evaluate and select relational, No
SQL, and cloud-native database technologies based on business/technical needs - Design scalable database solutions covering data modeling, availability, resiliency, backup/recovery, replication, and disaster recovery
- Provide expertise across platforms such as PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, or similar
- Design and support database solutions on AWS, Azure, or GCP
- Lead or support on-premises-to-cloud database migrations and modernization initiatives
- Optimize database performance through query tuning, indexing, partitioning, and capacity planning
- Establish database security standards: encryption, access controls, auditing, data protection, compliance
- Use Python for database automation, scripting, data processing, validation, and operational tasks
- Work with AI/ML and GenAI teams; provide architectural guidance on embeddings, vector databases/search, and RAG patterns
- Create and maintain architecture diagrams, database standards, and technical documentation
- Provide technical leadership, architecture reviews, troubleshooting support, and mentoring
- Strong experience in database architecture, engineering, or administration
- Deep understanding of relational database concepts: SQL, data modeling, normalization, indexing, transactions, performance optimization
- Experience with one or more major database platforms (PostgreSQL, Oracle, SQL Server, MySQL, MongoDB, or equivalent)
- Hands-on experience with AWS, Azure, or GCP, particularly managed database services
- Understanding of cloud architecture: scalability, high availability, security, monitoring, backup, disaster recovery
- Experience with database migration and modernization initiatives
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