Senior Data Engineer

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