Lead Data Engineer

Role Description

Turn 10 Studios is looking for a Data Engineer to join the Data Pipeline team. As a member of the team, you will get to live on the front edge of modern technology by building on things like Databricks, Azure Synapse Analytics and Azure Data Explorer while building ETLs and processes in Databricks and Data Factory.

• Help build state of the art pipelines and data models that are at the heart of the studio decision-making process.
• Work on large-scale lakehouse and warehouse analytics systems that process data feeds in real-time and batch processes.
• Collaborate with business, design, test, and development teams to improve test-driven methodologies and build a culture around data-driven development.
• Bring attention to detail along with modern engineering practices to build and support a high-quality, modern data architecture at scale.

Qualifications

• 5+ years’ experience with SQL required.
• 5+ years’ experience designing and implementing scalable ETL processes including data movement and quality tools.
• 3+ years’ experience with modern Big Data Analytics using Data Lake, Spark, and formats like Parquet.
• 2+ years’ experience building cloud-hosted data systems. Azure highly preferred.

Requirements

• Building data pipelines in Azure Databricks/Fabric/Spark.
• Working with data in delta lake format and from Azure Data Explorer/Kusto.
• Applying AI/ML to data engineering use cases (feature engineering, feature stores, model training/serving datasets, and model monitoring data pipelines).
• Experience preparing and governing datasets for modern AI applications (LLM/RAG, experimentation/A-B testing, and privacy-aware data access).

Benefits

• $120 - $125 a year.