Data Ops Engineer
Who We Are 2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios responsible for developing 2K’s portfolio of world-class games across multiple platforms, include Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, 31st Union, HB Studios, and 2K SportsLab. Our portfolio of titles is expanding due to our global strategic plan, building and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment. Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers, are the professional publishing stewards of 2K’s portfolio currently includes several AAA, sports and entertainment brands, including global powerhouse NBA®️ 2K, renowned BioShock®️, Borderlands®️, Mafia, Sid Meier’s Civilization®️ and XCOM®️ brands; popular WWE®️ 2K and WWE®️ SuperCard franchises, TopSpin 2K25, as well as the critically and commercially acclaimed PGA TOUR®️ 2K At 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We encourage ALL applicants to explore our global positions, even if they don’t meet every requirement for the role. If you're interested in the job and think you have what it takes to work at 2K, we encourage you to apply! What We Need The DataOps Engineer is responsible for the operationalization, automation, and reliability of 2K’s data ecosystem. This role applies DevOps principles to data engineering, managing CI/CD for data assets, Infrastructure-as-Code (IaC), and advanced data observability. focuses on complex problem-solving, optimizing cross-functional data flows, and ensuring that data infrastructure is scalable, secure, and highly available for global studio stakeholders. What You Will Do Data Pipeline Operationalization: Lead the design and maintenance of scalable ETL/ELT pipelines to ingest and transform data from diverse sources into central data warehouses. Automation & CI/CD: Implement and manage robust CI/CD pipelines specifically for data assets; automate extraction, testing, and deployment processes to increase velocity and reduce manual intervention. Infrastructure-as-Code (IaC): Utilize tools such as Terraform to manage and version cloud infrastructure, ensuring environment parity across development, staging, and production. Data Observability & Reliability: Proactively monitor pipeline health and data quality (freshness, volume, and distribution). Design and build automated alerting systems to resolve bottlenecks. Security & Compliance: Implement and enforce data security measures, ...