With more than 50 million users, Anaconda is the most popular operating system for AI providing access to the foundational open-source Python packages used in modern AI, data science, and machine learning through a seamless platform. We pioneered the use of Python for data science, championed its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open source for competitive advantage, groundbreaking research, and a better world. To learn more visit https://www.anaconda.com. Here is why people love most about working here: We’re not just a company, we’re part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world, and our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way. Anaconda is seeking a talented to join our internal Data & Analytics team. You will be working closely with our Product, Engineering, and Marketing teams to gather requirements and translate them into a data product. Analytics engineers provide clean data sets to end users, modeling data in a way that empowers end users to answer their own questions. This is an amazing opportunity for you to leverage your experience and skills to help Anaconda push the limits of what’s possible with data science and AI. * Design, build, and maintain scalable and robust data pipelines to ingest, process, and store large volumes of data from various sources. * Develop and maintain dbt data models, including star and snowflake schemas, to support analytics and reporting needs. * Collaborate with data analysts, data scientists, and business stakeholders to understand their data requirements and deliver actionable insights. * Implement data quality and validation processes to ensure data accuracy and reliability. * Optimize and improve existing data pipelines for performance and scalability. * Create and maintain comprehensive documentation for data pipelines, data models, and analytics solutions. * Assist in the development and maintenance of our data warehouse and data lake infrastructure. * 5+ years of relevant experience * Proficiency in SQL & experience with Snowflake or similar SQL cloud data warehouse * Experience in dbt & Git for version control and collaborative development * Proficiency in Python programming and familiarity with its data science libraries (NumPy, Pandas, Scikit-learn) * Experience with AWS or equivalent cloud services * Familiarity with both SQL and NoSQL transactional databases * Excellent communication skills to present complex findings to both technical and non-technical audiences * Track record of delivering data-driven solutions in a professional setting * Team attitude: “I am not done, until WE are done” * You embody our values of Clarity, Care and Candor * Care deeply about fostering an environment where people of all backgrounds and experiences can flourish * Demonstrated success working for freemium or open source SaaS products in a cross functional environment * You'll thrive in a high-performance environment where results are recognized and rewarded * Your work directly contributes to shaping the future of data science, machine learning, and AI in the enterprise. * You'll work alongside a collaborative team that values diverse, thoughtful discussion, clarity and candor. * You'll be supported by a culture that puts employees first - with flexible hours, a fully remote setup, and a genuine commitment to your wellbeing and growth. The US base salary range for this role is $104,500-$168,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed in each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual compensation is determined by various factors, including work location, job-related skills, experience, and relevant education or training. Your recruiter will provide more specific details on the salary range for your preferred location during the hiring process. In addition to base salary, we offer a comprehensive benefits package that includes: * Flexible Vacation Policy * Medical, Dental, and Vision Insurance * Short Term and Long Term Disability * Paid Parental Leave * Annual Remote Work and Wellness Stipend * Employee Assistance Program and Mental Health Resources Application deadline: There is no deadline; we accept applications on an ongoing basis. Anaconda is an EEO/AA employer M/F/V/D.