We’re growing our team at Sphaeric.ai. We’re looking for a data engineer with proven programming experience in Python, Java, SQL, Airflow etc.
Interested? Check out the job description below and apply.
About Sphaeric.ai:
Sphaeric.ai is an up and coming leader in developing and implementing AI solutions for corporate clients and funded startups. We are currently working with clients in the insurance, healthcare, and marketing industries and are looking to move into additional verticals as we continue to grow.
Current solutions we offer include:
- ML/AI model building and deployment in flexible and scalable cloud environments
- Web application development for process automation and AI interaction
- Cloud-based data engineering
- Technical consulting
This is a great opportunity to join a small but growing company and quickly become a part of the leadership team.
Position Summary:
As a data engineer for Sphaeric.ai you will be entrusted with significant responsibility. The primary function of this role will be lead data engineer for a sophisticated cloud-based data collection platform. This includes working with Apache Airflow to ensure that data pipelines are functioning properly, innovating and implementing improvements, and taking lead on recommendations. In addition, you will be responsible for supporting our data science services that could include model deployment and some front-end web app development.
We are looking for a candidate who can grow into a leadership role with our company.
Responsibilities:
- Managing workflows in Apache Airflow
- Building data pipelines to collect and store data in the cloud
- Reworking existing backend infrastructure to optimize performance
- Deploying of ML/AI models in the cloud
- Building and deploying UIs for ML/AI models
- Interact with clients regarding work products
Requirements:
- Ability to adapt to new programming languages or software products quickly
- Proven programming experience (preferred but not required: Python, Java, SQL, Airflow, etc.)
- Knowledge of and experience with the software development lifecycle
- Familiarity with cloud environments
- Familiarity with data warehousing
- Familiarity with big data tools (Hadoop, Apache Spark, mongoDB, etc.)
- Optional Requirements:
- Experience with dashboarding and data visualization
- Strong quantitative and problem-solving skills (exposure to math, statistics, engineering or physics)
Benefits of working with Sphaeric.ai
Team members working with Sphaeric.ai will be entrusted with significant responsibility and room for growth. We love innovative thinking and working at the highest standard while maintaining a relaxed environment in which we actively help each other learn and share best practices that we discover.
Specific benefits include:
- Work on industry-leading AI projects
- Participate in the entire project lifecycle from ideation to deployment
- Involvement in AI conferences
- Opportunity to work with a growing startup which is set to expand significantly in the next 5 years
Interested applicants should send resumes to:
Paul Kostoff
Managing Partner
pkostoff@sphaeric.ai
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