GCP Data Engineer Engineering - Philadelphia, PA at Geebo

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 medicineThis Jobot Job is hosted by:
Julia TomsAre you a fit? Easy Apply now by clicking the Apply Now button and sending us your resume.
Salary:
$130,000 - $170,000 per yearA bit about us:
Voted one of INC.
's Fastest Growing Companies in 2022, we are devoted to improving the lives of Veterinarians and Vet Clinics across the nationOur SaaS Platform is helping Veterinarians who are struggling to find balance between their work and personal lives.
Why join us?Annual 8% bonus (50/50 company performance/personal KPIs)Incentive Units (Shares)20 days of PTO
2 personal days
7 company holidaysChoose your own adventure fund $1,500 (vacation fund, gym fund)401k with 4% company matchJob Details100% RemoteWe are looking for a talented and ambitious Data Engineer with a strong background in Machine Learning to join our dynamic teamIn this role, you will work closely with our data scientists, analysts, and other stakeholders to design, build, and maintain our data infrastructureYou will be responsible for developing and implementing machine learning models, as well as creating and managing robust data pipelinesThis is an exciting opportunity to work on cutting-edge technologies, solve complex problems, and make a significant impact on our business.
Job Duties:
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.
Ensure systems meet business requirements and industry practices.
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.
Ideal Background:
5
years of experience as a Data Engineer focused on Python, Postgres, and DBTExperience using Google Cloud Platform and ideally Google AI toolsExperience with data modeling, data warehousing, and building ETL pipelines with DBTKnowledge of programming languages including Python and SQL.
Experience with Machine Learning frameworks such as PostgreML, TensorFlow, or PyTorch.
Experience with tools such as Google BigQuery, Airflow, Fivetran, and MakeExcellent 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 ScienceInterested in hearing more? Easy Apply now by clicking the Apply Now button.
Recommended Skills Algorithms Artificial Intelligence Business Requirements Data Analysis Data Collection Data Management Apply to this job.
Think you're the perfect candidate? Apply Now $('.
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