Staff Data Engineer, Trust and Safety Tech and Data Enablement

Google Cloud Consulting Professional Services is seeking a Staff Data Engineer to support the Legal Content Policy and Standards (LCPS) team. In this onsite role in Austin, TX, you will lead the design and development of foundational, AI-ready data infrastructure, bringing together legacy systems into a unified Single Source of Truth to support trust and safety technology and data enablement.

You will work across cross-organizational partners to define how data is sourced, validated, modeled, and processed, while ensuring secure and scalable pipelines for downstream use. The work also includes continuous integration and scaling of machine learning models, along with ongoing data profiling to clarify client needs and drive data-informed decisions.

Responsibilities

• Lead consultations with cross-organizational partners to define data sources and validation standards, collaborating with engineers and data scientists to support ML training.
• Oversee development of infrastructure and business solutions to scale shared frameworks, including designing secure data processing systems and advocating for best practices.
• Direct development and scaling of data models, pipelines, and exchange formats to reduce fragmentation and improve data discoverability.
• Leverage and deploy ML models, including continuous training, while implementing new storage and serving systems to scale across Data Engineering.
• Manage data profiling and analysis using existing data models and custom infrastructure to clarify client requirements and enable data-driven decision-making.

Requirements

• Bachelor’s degree in Computer Science, Mathematics, or a related field (or equivalent practical experience).
• 10+ years writing code using specialized languages and libraries such as Python, R, and SQL for datasets.
• 10+ years using data processing software including Hadoop, Spark, Pig, and Hive, and algorithms such as MapReduce and Flume.
• Experience managing client-facing projects, troubleshooting technical issues, and partnering with Engineering and Sales Services teams.

Technologies

• Python, R, SQL
• Hadoop, Spark, Pig, Hive
• MapReduce, Flume
• MySQL
• Data Lakes, Data Warehouses, Data Mesh

Preferred Qualifications

• 10+ years designing robust, scalable, and synchronized pipelines, including dimensional modeling.
• Experience partnering with non-technical stakeholders to translate ambiguous business or regulatory requirements into structured technical designs.
• Experience interpreting and designing data elements, structures, and relationships to deliver consistent and predictable data models, including designing and implementing complex ETL pipelines for synchronous and asynchronous system integration.
• Experience designing, evaluating, and managing scalable data storage and processing ecosystems such as Data Lakes, Data Warehouses, and Data Mesh.

Location: Austin, TX (onsite)
Salary: USD 186,000 - 269,000 per year
Experience: 10+ years