GCP Data Engineer

100% Remote / Direct Hire / Help build platforms that uncover game changing insights from data for a fast-growing SaaS platform company supporting veterinary medicine This Jobot Job is hosted by: s Fastest Growing Companies in 2022, we are devoted to improving the lives of Veterinarians and Vet Clinics across the nation. Our SaaS Platform is helping Veterinarians who are struggling to find balance between their work and personal lives. Annual 8% bonus (50/50 company performance/personal KPIs) Incentive Units (Shares) 20 days of PTO + 2 personal days + 7 company holidays 100% Remote We are looking for a talented and ambitious Data Engineer with a strong background in Machine Learning to join our dynamic team. In this role, you will work closely with our data scientists, analysts, and other stakeholders to design, build, and maintain our data infrastructure. You will be responsible for developing and implementing machine learning models, as well as creating and managing robust data pipelines. This is an exciting opportunity to work on cutting-edge technologies, solve complex problems, and make a significant impact on our business. Design, construct, install, test, and maintain highly scalable data management systems. Collaborate with our data science team to design and develop machine learning models and algorithms. Build high-performance algorithms, predictive models, and prototypes. Create data tools that can provide data scientists with data from our central database. Integrate new data management technologies and software engineering tools into existing structures. Create custom software components and analytics applications. Research opportunities for data acquisition and new uses for existing data. Develop data set processes for data modeling, mining, and production. Employ a variety of languages and tools to marry systems together. 5+ years of experience as a Data Engineer focused on Python, Postgres, and DBT Experience using Google Cloud Platform and ideally Google AI tools Experience with data modeling, data warehousing, and building ETL pipelines with DBT Knowledge of programming languages including Python and SQL. Experience with Machine Learning frameworks such as PostgreML, TensorFlow, or PyTorch. Excellent understanding of machine learning algorithms, processes, tools and platforms. Proven ability to drive business results with data-based insights. Bachelor’s degree in Computer Science, Engineering, or Data Science