People make games great. That’s why at Survios, we invest in a dynamic hybrid workplace with talent from across the globe, nurturing our people, and encouraging fun. We have a workplace where every team member knows they’re respected and cared for. If you want to join a passionate team of developers driving toward the future of immersive gaming, we’d love to hear from you! Survios has an opening for a talented Senior Technology Engineer to help us develop world-class games. We are looking for a talented, passionate, and self-motivated individual to contribute to our technology team. The ideal candidate is a generalist with broad experience in tools, automation, live ops, multiplayer, and general engine development. There is an emphasis in working with all disciplines to build the best technology, tools, and games possible. Responsibilities: Develop, improve, and support systems, services, and tools to: Automate builds, game testing, reporting, and asset processing. Capture, store, and report analytics from the game, engine, and tools Provide live ops and multiplayer services. Improve and optimize general developer workflows in Unreal Editor and other tools. Support standard developer needs with software such as Jenkins, Perforce, and Unreal DDC Drive best practices for systems, tools, and services. Create and maintain technical documentation. Mentor and review the work of other engineers. Requirements: About Us: Survios is an award-winning game studio based in Marina Del Rey, California that takes a holistic approach to development, merging our expertise in hardware, software, industry-leading technology, and games to create unbelievable, immersive game experiences in VR, AR, consoles, and PC. We’re dedicated to leveraging our passion, expertise, and creativity to develop groundbreaking video games on all platforms. Base salary range between $150,000 USD - $170,000 USD ( Base salary range for applicants located within the United States ) Please note that the compensation information provided is a good faith estimate for this position only and is provided pursuant to the California Salary Transparency in Job Advertisements Law. Survios takes into consideration a candidate’s education, training, and experience, external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the California Law, a potential new employee’s salary history will not be used in compensation decisions.

• Designing, building, and maintaining scalable data models that power internal reporting and experimentation insights within PIE • Transforming raw event and product data into clean, tested datasets ready for analysis • Collaborating with Product Managers and Engineers to define and standardise product metrics • Implementing data validation and quality checks to ensure accuracy and reliability • Improving documentation and metric clarity to increase transparency and trust in reporting • Contributing to the evolution of analytics engineering workflows, modelling patterns, and tooling within PIE

• Translate ambiguous business questions into structured analytical frameworks • Develop KPI definitions, metric layers, and standardized reporting logic across teams • Partner with Product and Growth teams to define success metrics and measurement strategies • Deliver deep-dive analyses on ordering behavior, churn risk, marketplace performance, and operational efficiency • Present insights and trade-offs clearly to senior stakeholders and leadership • Own and scale A/B testing infrastructure, including experiment tracking and evaluation pipelines • Define best practices for hypothesis testing, power analysis, sequential testing, and causal inference • Build experimentation dashboards and automated reporting systems • Partner with Data Science to productionize predictive models and design reusable ML-ready datasets • Support feature engineering and monitoring for production ML systems • Design and maintain scalable ELT/ETL workflows that power analytics, experimentation, and ML use cases • Build and optimize dimensional data models (star schemas, data vault, etc.) to enable self-service analytics • Create trusted, well-documented datasets for product, finance, operations, and growth teams • Improve data quality, observability, lineage, and governance across the analytics ecosystem • Optimize performance across warehouse and transformation layers • Drive best practices in analytics engineering across the organization • Influence tooling decisions (Airflow, dbt, Snowflake, Spark, etc.) with scalability and business usability in mind • Mentor analytics engineers and elevate modeling and measurement standards • Champion a data-driven culture grounded in experimentation and measurable impact

About your team and position: Sundays is a high-growth, category-defining brand that has built a sizable business — without a formal analytics engineering foundation. Now, we’re investing in doing data right. We’re hiring our first Lead Analytics Engineer to build our transformation layer from scratch, establish trusted definitions across the company, and create a scalable dbt-powered foundation that turns rich customer data into durable business advantage. Reporting to our newly appointed VP of Data, this is a rare opportunity to architect the analytics stack at a company that already knows its customers deeply — and is ready to get dramatically smarter. This role is fully remote within the U.S., with travel to our Cleveland headquarters for onboarding and quarterly in-person collaboration to stay connected as a team. Your day-to-day: - Develop and maintain high-quality dbt models, tests, documentation, and workflows to create reliable transformation pipelines. - Build and optimize dimensional and semantic data models that power business-critical reporting and analysis. - Partner with data consumers and stakeholders to translate business questions into well-defined datasets and semantic definitions. - Design, build, and maintain the semantic layer for visualization tools such as Omni Analytics, Looker, or Sigma. - Ensure data quality and trust by implementing automated testing, monitoring, and observability best practices. - Collaborate with Engineering to scale pipelines, improve performance, and reduce latency in the analytics stack. - Own the data modeling strategy and governance standards, including conventions, documentation, and onboarding practices. - Mentor and guide other analytics engineers and data team members on best practices. We'd love to hear from you if you have: - 6+ years of experience in analytics engineering, data engineering, or related roles. - Deep expertise with dbt, including advanced modeling, macros and testing frameworks. - Strong SQL skills and experience with cloud data warehouses (e.g., Snowflake, BigQuery, Databricks). - Significant hands-on experience developing in modern visualization layer platforms such as Omni Analytics, Looker, or Sigma. - A solid understanding of DTC and ecommerce metrics such as CAC, LTV, cohort analysis, retention and forecasting. - Experience translating business needs into structured, reusable analytics models. - Excellent communication skills and ability to present technical concepts to business stakeholders. Nice to Have: - Experience with data observability and monitoring tools. - Familiarity with reverse ETL tools and workflows. - Python experience for orchestration or transformation tasks. **RECRUITING SCAM ALERT** We’ve been made aware of scammers impersonating Sundays for Dogs and inviting candidates to interview via Microsoft Teams. To protect yourself, please note: - We do not conduct interviews over Microsoft Teams. - All interview scheduling communications will come from one of the following domains: @ats.rippling.com (our official applicant tracking system) or @sundaysfordogs.com. If you receive outreach from any other email domain or are asked to communicate outside of these channels, it is not from our team. We strongly suggest you do not share any personal or confidential information if you are unsure about the legitimacy of the communication. If you have questions about whether a message is legitimate, contact us directly at people@sundaysfordogs.com.