**Responsibilities:** Design, build, and maintain scalable ETL/ELT pipelines using Databricks and AWS - Improve ingestion pipeline quality, reliability, scalability, and governance - Develop and optimize core data models and foundational data tables - Build analytics-ready datasets to support player insights, publishing analytics, esports analytics, and operational reporting - Implement data governance, data quality, lineage, and observability practices - Collaborate with product, analytics, engineering, and business stakeholders to support data-driven decision-making - Optimize large-scale data processing workflows for performance and cost efficiency - Support centralized player data models, viewer analytics, publishing activity systems, and operational metrics - Contribute to the unification of fragmented data ecosystems across multiple game teams and organizations - Build and maintain reliable orchestration workflows and scheduling systems - Participate in architectural discussions around scalability, governance, and data platform modernization

• A Senior Data Engineer at Filevine designs, builds, and operates data systems • Optimize Filevine's production usage of Snowflake and Cortex features • Own and evolve our agentic data modeling and natural language data retrieval capabilities • Design and build batch and streaming data pipelines • Establish reliability and governance standards • Partner with product and engineering stakeholders • Lead the evaluation and adoption of emerging tools across the modern data stack • Provide technical mentorship within the Data Engineering team

• Builds and modernizes data pipelines and integrations to improve processing efficiency across on-prem, hybrid, and multi-cloud TSA environments. • Supports testing, documentation, transition artifacts, and ORR readiness. • Engineers data and analytics components, supports V&V, improves reliability/performance, and prepares O&M transition materials.

Role Description The Data Engineer is responsible for creating and maintaining the analytical infrastructure that enables the majority of functions in the data world. They are responsible for the testing, maintenance, construction, and development of architectures such as large scale processing systems and databases. As part of this, they are also responsible for creating data set processes for verification, acquisition, mining, and modeling. - Consult with Engineering Manager and Architect in System architecture and approaches. - Engineer the implementation of defined database services for SQL and NoSQL data stores, including database platforms and schemas according to applicable best practices and standards. - Establish and implement standards and processes to ensure optimum performance of data storage services. - KPIs, targets, and tooling to measure data services and third-party service performance related to the application. - Documentation; including actual architecture of deployed services, logging, monitoring, and support components, etc. - Identify and document design decision points, propose approaches, and communicate for review and clarification. - Establish and provide tooling for ETL processes to maintain data store performance. - Participate in the development of documentation. - Ensure compliance, reliability, and performance of implemented data services through code review, database performance testing, adherence to architecture standards, implementation of best practices, and timely communication of identified issues. - Ensuring adherence to application architecture, system standards, and practices. - Database performance testing. - Timely communication of identified issues to reduce potential cost risks. - Assist the PM with communications with clients and cross-functional departments to communicate project statuses and proposals. - Assist in root cause analysis for identified performance issues. - Communicating key project data to team members and building cohesion among teams. - Developing and executing project plans and tasks as assigned. Qualifications - Bachelor’s degree in Computer Science or a related field. - 2+ years experience in a network administration role. - Previous experience with Microsoft Windows Server 2008, 2012, and 2016 preferred. - Previous experience with Cisco switches and routers preferred. - MCSE certification a plus. - CISSP, CCNA, or CCNP certification a plus. Requirements - Must have excellent communication and teamwork skills. - This role is fully remote; must have a reliable internet connection and a suitable workspace. - This role requires availability during standard business hours (Monday–Friday, [8:00 - 5:00]). You must be available to dedicate 20+ hours a week, when required, during these hours. - Must complete a skills assessment to qualify for the position. - Must be able to communicate in English. You'll be expected to provide regular updates on your work via our PM tool as well as our twice-weekly Scrum calls. - No agencies will be considered.