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Closed on September 17, 2026.
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Senior Data Engineer
Senior
Artificial Intelligence
Data Engineer
Data Governance
Data Integration
Data Lineage
Data Management
Data Pipeline
Database
ETL
Informatica
SQL
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Job Description
Senior Data Engineer contract role in Chandler, AZ (Hybrid) supporting an ongoing enterprise program focused on AI-ready data and knowledge foundations.
- Project: Project SPARTAN (ongoing), duration: 18 months
- Location: Chandler, AZ (hybrid)
- Work setup: 3 days onsite per week; Remote: not available
- Employment type: W2 only
- Compensation: USD 60-65 per hour
Responsibilities
- Implement data management best practices across complex enterprise environments
- Develop, govern, and improve structured and unstructured data and knowledge foundations for AI and agentic capabilities
- Drive improvements across data foundation areas including:
- Data quality
- Governance
- Lineage
- Metadata
- Data modeling
- ETL and data pipelines
- Preparing data and knowledge assets for AI consumption
- Partner with engineering, architecture, operations, governance teams, and subject matter experts
Requirements
- Senior-level experience implementing data management best practices
- Strong experience with MySQL and Oracle Database
- Hands-on Python experience
- Experience with ETL tools, specifically Informatica
- Strong experience with SQL Server
- Experience with Teradata
- Strong understanding of data modeling and normalization
- Experience developing and implementing data quality controls, validation, and remediation
- Experience with data governance, metadata, lineage, ownership, and data freshness
- Experience working with structured and unstructured data
- Strong analytical and problem-solving skills
- Ability to work cross-functionally with technical and business stakeholders
Technologies
- MySQL
- Oracle Database
- Python
- Informatica
- SQL Server
- Teradata
Benefits
- Health, vision, and dental insurance (single and family coverage)
- 401(k) plan with employee contributions only
Desired Skills
- Experience with Nateeza
- Experience using AI tools
- Knowledge of AI-ready data and knowledge management
- Experience preparing data for AI, automation, search, or analytics
- Understanding of AI grounding, context structuring, and metadata quality
- Experience with network technologies or infrastructure environments
- Experience creating reusable data standards, templates, controls, and documentation
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