Engineer II

Engineer II

W2 Contract-to-Hire

Pay Rate: $67 - $72 per hour

Location: Dublin, CA - Hybrid Role

Job Summary:

The Engineer II (Data Technologies) is responsible for supporting, enhancing, and evolving the enterprise data platform that powers data engineering, analytics, and business intelligence across the organization. This role ensures the reliability, scalability, performance, security, observability, and cost efficiency of a modern cloud-based data ecosystem built primarily on Azure, Snowflake, and dbt, while maintaining a broad understanding of data ingestion, integration, governance, and analytics platforms. Working closely with data engineering, analytics, architecture, and infrastructure teams, the engineer enables platform consumers through operational excellence, automation, and continuous platform improvement.

Duties and Responsibilities:

• Maintain the health, availability, security, and reliability of enterprise data and analytics platforms.
• Monitor system performance, troubleshoot complex issues, and drive root-cause analysis through resolution.
• Participate in production support, incident response, change management, and continuous service improvement activities.
• Develop automation, operational tooling, and monitoring solutions that improve efficiency, consistency, and scalability.
• Leverage SQL, Python, and related technologies to support administration, diagnostics, reporting, and process improvements.
• Continuously enhance observability, alerting, and support capabilities to reduce operational risk and manual effort.
• Analyze usage, performance, and consumption patterns to identify opportunities for optimization, capacity planning, and cost efficiency.
• Contribute to operational standards, governance practices, documentation, and platform roadmaps.
• Collaborate with architecture, infrastructure, and security teams to ensure solutions align with enterprise standards and best practices.
• Evaluate and implement new capabilities through proof-of-concept and pilot initiatives.
• Support the adoption of evolving cloud data technologies, modern data architectures, and open table formats.
• Partner with data engineering and analytics teams to improve platform capabilities and overall user experience

Desired Skills and Experience

Azure, Snowflake, dbt, SQL, Python, Cloud Data Platform Administration, Data Engineering, Analytics and Business Intelligence, Data Ingestion and Integration, Data Governance, Platform Security and Reliability, Performance Monitoring and Optimization, Troubleshooting and Root-Cause Analysis, Production Support, Incident Response, Change Management, Automation and Operational Tooling, Observability and Alerting, Capacity Planning, Cost Optimization, Technical Documentation, Platform Roadmaps, Proof-of-Concept Development, Modern Data Architectures, Open Table Formats, Continuous Improvement, Cross-Functional Collaboration

Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate.

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