Top Remote Senior Level Data Engineer Jobs in Denver & Boulder, CO

Digible, Inc. is looking for a Staff/Senior Data Engineer to join their team. The role involves serving as a hands-on leader for their full stack Data platform team, aligning with stakeholders, executing long-term data vision, and contributing to strategic product discussions. This position offers the opportunity to drive innovation and lead technical work within a talented team.

Join Dropbox as a Senior Machine Learning Software Engineer in the New Initiatives team. Shape the future of AI/ML, collaborate with cross-functional teams, and impact millions of users by building large-scale ML systems and personalizing user experiences.

Passionate Senior Data Engineer with 5+ years of experience in Data Engineering. Proficient in SQL, Python, and building ETL/ELT pipelines on big data platforms like Snowflake and Spark. Strong problem-solving skills, collaborative nature, and familiarity with ad-tech terms and data privacy. Bachelor's degree in Computer Science or related field preferred.

Join Invitae as a Senior Data Engineer in the Data Solutions Team to develop data ingestion pipelines and data platform architecture supporting analytical and reporting needs. Collaborate with multiple teams, design and implement reliable data frameworks, and contribute to a world-class Health Data Platform for medical research and treatment. Required experience includes 8 years with a Bachelor's degree or 2 years with a Master's degree. Proficiency in Scala, Python, AWS, Azure, Google Cloud Platform, and various data technologies is essential.

Seeking a Senior Analytics Engineer to collaborate on data and analytical models, develop tools and products, optimize data sources, and drive impactful healthcare insights through advanced analytics. Responsibilities include designing scalable data pipelines, enabling self-service data platforms, optimizing data processing solutions, and integrating AI models for data-driven decision-making. Requires 5-7 years of experience in data analytics and engineering, expertise in SQL, Python, R, and DBT, proficiency in cloud platforms like AWS, and experience in AI/ML operationalization.