Sr. Data Engineer: Cloud & Executive Insights

Job Summary

We are seeking a very senior Data Engineer with deep SQL expertise who can start quickly and deliver impact immediately. This role is highly execution-focused and requires end-to-end ownership of data pipelines, analytics, and business reporting used directly by leadership.

• Experience working directly with and supporting Sr. Leadership
• Design, build, and maintain end-to-end data pipelines integrating multiple data sources.
• Develop and own business metrics, dashboards, and reporting consumed by senior leadership.
• Perform data cleaning, validation, and transformation to ensure high data quality and trust.
• Partner closely with product, analytics, and business stakeholders to translate requirements into scalable data solutions
• Optimize SQL queries and data models for performance, reliability, and cost.
• Take ownership of data delivery with minimal oversight and tight timelines.

• Complex joins, window functions, performance tuning, and large datasets
• Strong end-to-end data engineering experience across the full data lifecycle
• Proficiency in Python (preferred) or Java
• Experience with Kubernetes and Kueue
• Hands-on experience with Snowflake and modern analytics stacks
• Proven ability to move fast, work independently, and deliver results under pressure
• Experience building pipelines and analytics that directly support executive decision-making

• Experience with distributed data systems (e.g., Trino)
• Familiarity with Lakehouse architectures
• Prior experience building dashboards and analytics for executive audiences
• Exposure to large-scale or high-growth data environments

Expert SQL (complex joins, window functions, performance tuning), Data Engineering, End-to-End Data Pipelines, Data Pipeline Design and Maintenance, Data Integration (Multiple Data Sources), Data Cleaning and Validation, Data Transformation, Data Quality Assurance, Business Metrics Development, Executive Dashboards and Reporting, Executive Insights and Decision Support, Analytics Engineering, Data Modeling, SQL Optimization, Performance and Cost Optimization, Snowflake, Modern Analytics Stacks, Python, Java, Kubernetes, Kueue, Distributed Data Systems (Trino), Lakehouse Architectures, Large-Scale Data Environments, High-Growth Data Environments, Stakeholder Collaboration, Senior Leadership Support, Product and Business Partnering, Requirements Translation, Independent Execution, Ownership of Data Delivery, Working Under Tight Timelines, High-Pressure Delivery

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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