Software Database Engineer 2

Job Title: Software Database Engineer 2 Job Type: Contract Site Type: Remote Duration: 1 Year 6 Months Job Overview: 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 process in Databricks and Data Factory. You will help build state-of-the-art pipelines and data models that are at the heart of the studio decision-making process. You will be working on large-scale Lakehouse and warehouse analytics systems that process data feeds in real-time and batch processes. Your customers will be the business, design, test and development teams and they will look to you to help shape how we capture data to improve our test-driven methodologies and build a culture around data driven development. Job Responsibilities: • Help lead tech writing team goals, planning, and projects • Help teams write/edit needed project documentation in a clear, concise, easily understandable manner • Create documentation and knowledge sharing processes to maintain organization • Organize documentation in an intuitive manner • Align teams on and be advocate for knowledge sharing across studios • Help research and push forward sharing initiatives or solutions to current pain points Job Requirements: • 5+ years of experience with SQL required • 5+ years of experience designing and implementing scalable ETL processes including data movement (Azure data factory) and quality tools • 3+ years of experience with modern Big Data Analytics using Data Lake, Spark and formats like Parquet • 2+ years of experience building cloud hosted data systems • Azure efficiency highly preferred • Building data pipelines in Azure Data Factory/Synapse Analytics/Spark • Experience working with data in delta lake format and from Azure Data Explorer/Kusto • Experience 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) • Salary Range: $49/hr with Medical, Vision, and Dental Benefits