Data Analytics Engineer

Data Analytics Engineer | Toptal\n\nNewsweek Ranks Toptal Toptal Ranked #1 Most Reliable Professional Services Company in America .\n\nNow hiring\nData Analytics Engineer\nNow hiring\nData Analytics Engineer\nAbout Toptal\nToptal 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\u2019s largest fully remote workforce .\n\nWe 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.\n\nJob Summary:\n\nToptal 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.\n\nOur 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.\n\nThis 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.\n\nThis role requires an AI-heavy workflow and skillset. We\u2019ve transformed our codebase to be instrumented for agentic development and continue to build our internal AI tooling, and you will be part of this process. Fluency with using LLMs and agentic coding tools is a requirement of this role. The flip side of that is the part machines cannot do: understanding our business and metrics deeply, and making decisions on what matters and what doesn\u2019t in terms of pushing the company\u2019s business objectives forward.\n\nThis is a remote position. We do not offer visa sponsorship or assistance. Resumes and communication must be submitted in English.\n\nResponsibilities:\n\nThe following information is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of all duties, responsibilities, or required skills.\n\nDesign, write, review and ship SQL models across our repositories that transform raw data into usable data products for all organizational stakeholders. Own and maintain the transformation layer.\n\nProactively work with the Data Engineers to ensure new data sources are added and available, and then modeled and published in our data warehouse.\n\nProactively monitor the data warehouse and extract insights to identify opportunities to improve data operations, data accuracy and quality, coverage, integrity, structure, and general usability.\n\nTurn ambiguous business asks into modeled data. Run requirements gathering with stakeholders. Establish the grain, surface the edge cases, write down the business rules, and push back when the request would produce a misleading number.\n\nImplement measures and processes to improve data quality, accuracy, coverage, lineage, access and retention across dozens of source production databases.\n\nOwn the data dictionary. Write table and column documentation that traces each field to its true origin. This documentation is consumed by AI agents as well as humans, and is an integral part of the semantic layer.\n\nDiagnose and resolve data incidents.\n\nReview your teammates\u2019 code and provide feedback to maintain the hygiene of the data warehouse production environment.\n\nWork closely with Business Analysts, Data Engineers, Data Scientists, and business process owners to empower data-driven decision making.\n\nEnable end users to better use data, understand complexities, nuances, and limitations.\n\nHelp make the team faster. Improve the agent playbooks, documentation, and tooling the team uses to work with the warehouse.\n\nIn the first week, expect to:\n\nOnboard and integrate into Toptal, and begin learning our history, culture and vision.\n\nGet your environment running end to end: GCP access, BigQuery, the Dataform repositories, and our agentic development tooling.\n\nShadow the teams whose data you will own to learn the core of Toptal\u2019s operations and capabilities, including Growth, Talent Operations, Enterprise, and SMB.\n\nIn the first month, expect to:\n\nUnderstand the data generated through company operations and activities and where/how that data is stored.\n\nUnderstand our ETL processes, timing, tools, monitoring, roadmap, and pain points.\n\nUnderstand our source systems, and where they fit into our business processes.\n\nStart receiving and researching inbound data questions from Business Analysts.\n\nBuild your first Dataform pull request independently and start reviewing your teammates\u2019 PRs.\n\nIn the first three months, expect to:\n\nDevelop a mastery of our core data elements and entities.\n\nBegin standardizing definitions and creating SQL logic to push definitions into the data layer.\n\nBe a first responder for data incidents, diagnosing root cause with evidence and a methodical approach.\n\nBegin documenting data flows, definitions, calculation methodologies, and data elements to continuously build and improve the semantic layer.\n\nIn the first six months, expect to:\n\nContribute architectural ideas that impact our data environment and pipelines. Exercise discretion and independent judgment.\n\nBe an integral part of the analytics team that ensures a world-class data warehouse service to our stakeholders.\n\nIn the first year, expect to:\n\nPlay a critical part in setting the direction of the data analytics function.\n\nDevelop and execute a data strategy that aligns with the company\u2019s business objectives.\n\nWork closely with the leadership team to identify and prioritize data-related projects.\n\nDevelop and maintain relationships with key stakeholders across the organization.\n\nBuild and maintain a team of data analysts and engineers to support the data analytics function.\n\nDevelop and execute a plan to improve data quality and reduce data-related risks.\n\nWork closely with the IT team to implement and maintain data infrastructure.\n\nDevelop and execute a plan to improve data security and compliance.\n\nWork closely with the business team to identify and prioritize data-related projects.\n\nDevelop and execute a plan to improve data governance and oversight.\n\nWork closely with the leadership team to implement and maintain a data governance framework.\n\nWho You Will Work With\n\nCarlos Aguirre\n\nChief Financial Officer\n\nAs Toptal\u2019s Chief Financial Officer, Carlos is responsible for the company\u2019s financial operations, ensuring sustainable growth and a seamless payment infrastructure for clients and talent worldwide. His extensive experience includes collaborating with companies at various stages of growth to design and execute specialized projects in strategy, financial operations, financial planning and analysis, and investor relations. Notably, Carlos previously led the Finance and Investor Relations functions at Brightstar Corp. (now Likewize), a global company where he played a key role in the sale of a majority stake to SoftBank at a valuation of $2.2 billion. Carlos holds a Bachelor of Science in finance and a Master of Business Administration from the Rochester Institute of Technology.\n\nMalik Ben-Yousef\n\nEVP, Industries\n\nAs Toptal\u2019s EVP, Industries, Malik leads the commercial business serving enterprise and SMB clients across talent, services, and cutting-edge solutions. He brings extensive experience driving growth and transformation across software, professional services, manufacturing, and luxury goods. Most recently, he scaled revenue across a $5B+ global SaaS business and led growth planning, revenue operations and analytics, and AI-driven go-to-market transformation at Infor. He previously served as a partner at Boston Consulting Group, leading major growth and transformation programs while building BCG\u2019s Auto.AI business. Prior to BCG, Malik led Jaguar Land Rover\u2019s companywide turnaround and transformation program, delivering $2.5 billion in profitability improvement. Earlier in his career, he worked at McKinsey & Company, where he helped scale its Periscope SaaS platform. Malik holds a Master\u2019s degree in Aeronautical Engineering from the University of Bristol.\n\nView the Whole Team\n\nWorking at Toptal\n\nWe\u2019re changing the way the world works. Toptal is not only a place to progress your career and design your own lifestyle, but also a company where you\u2019ll learn how to develop innovations that push business and technology forward.\n\nToptal Careers\n\nThink you\u2019re a fit? Apply below:\n\nInterested in joining our global talent network?\n\nApply as a Freelancer\n\nThank you for applying to Toptal! Your application has been successfully submitted.\n\nTrending Now on Toptal Insights\n\nToxic Communication in Virtual Workspaces: A Looming Liability for Remote and Hybrid Companies\n\nBy Jeff Gangemi\n\n5 Lessons From Fast-growing Tech, Energy, and Fintech Companies\n\nBy KJ Bannan\n\nThe Personal Finance of Career Independence\n\nBy Erik Stettler\n\nRead more Toptal Insights