Sr Data Engineer

KPG99 INC is seeking a Staff Data Engineer to join their growing data team supporting analytics and business operations. The role involves optimizing data models and improving data flow from source systems into the data warehouse while collaborating with stakeholders to ensure reliable reporting outputs.

Responsibilities:

• Monitoring platform health and troubleshoot complex data issues to improve data accuracy across multiple systems
• Implementing testing and validation frameworks
• Optimizing warehouse performance; feeding warehouse data back into operational systems such as HubSpot
• Supporting downstream integrations into systems such as HubSpot
• Designing scalable solutions that eliminate manual processes and improve the accuracy, reliability, and accessibility of business-critical data
• Work across global teams and navigating time zone coordination challenges
• Automating manual Excel-based reporting and reconciliation workflows
• Experience working with customer segmentation, support tiering, or operational analytics initiatives
• Familiarity with analytics and BI tools such as GoodData , Metabase , or similar reporting platforms

Requirements:

• 6+ years of experience in Data Engineering with strong ownership of production data platforms and pipelines
• MUST HAVE hands-on experience with Google BigQuery for data warehousing, modeling, optimization, and analytics
• Strong experience using dbt to build, maintain, and scale data transformation frameworks
• Expert-level SQL skills and deep understanding of data modeling, dimensional modeling, and warehouse design
• Experience building and maintaining ELT/ETL pipelines using tools such as Fivetran or similar ingestion platforms
• Experience supporting finance, revenue, accounting, or operational reporting workflows
• Strong understanding of data quality, testing, validation, monitoring, and platform reliability best practices
• Demonstrated ability to troubleshoot complex data issues and improve data accuracy across multiple systems
• Ability to operate independently in a highly autonomous environment while coordinating with globally distributed teams
• Strong communication skills with the ability to bridge the gap between technical and non-technical stakeholders
• Experience working with customer segmentation, support tiering, or operational analytics initiatives
• Experience supporting data platforms across multiple products or business units
• Familiarity with analytics and BI tools such as GoodData, Metabase, or similar reporting platforms
• Experience mentoring engineers and serving as a senior technical contributor within a small team environment