Data Analytics Engineer

About Toptal Toptal is a global network of top talent in business, design, and technology that enables companies to scale their teams, on-demand. With $200+ million in annual revenue and team members based around the globe, Toptal is the world’s largest fully remote workforce. We take the best elements of virtual teams and combine them with a support structure that encourages innovation, social interaction, and fun. We see no borders, move at a fast pace, and are never afraid to break the mold. Job Summary: Toptal prides itself on being a data-driven organization. The primary objective of the Data Analytics Engineer is to help drive business impact and better decision making by laying the data foundation for a world-class analytics function. This role will be critical to fostering trust in our data and confidence in our decisions. Our Data Analytics Engineers focus on creating a data environment that is conducive to analytics and business decision making. You will own and maintain the data transformation layer. This will require data governance (quality, accuracy, coverage, security), data modeling (structure, relationships, integrity), technical communication (data dictionaries, user training), quality control (code reviews, data validation), raw data analysis, and building AI data systems and pipelines. You will be the product owner for our data warehouse and will coordinate closely with our functional Business Analysts on one side, and Data Engineers on the other. This role sits within the Business Analytics Center of Excellence and will ensure trustworthy data is available for all downstream data users. Positive relationships with both Data Engineers and Business Analysts will be key, but you must also think independently and bring your own point of view. To be successful in this role you must live and breathe SQL daily and be a critical thinker, problem solver and self-starter. This role requires an AI-heavy workflow and skillset. We’ve transformed our codebase