Risepoint assists primarily regional universities in increasing their access and impact by making their academic programs available to students online. Founded in 2007, Risepoint's mission is to expand access to high-quality, affordable, and workforce-relevant education, especially for working and adult students. Risepoint brings single-minded dedication to student success, an integrated set of services, and data-driven performance to our collaboration with university partners.
Requirements
- at least 2 years working with Databricks and Apache Spark
- Strong proficiency in Python, SQL, and PySpark
- Deep understanding of AWS and Azure Cloud service
- Experience with Databricks Data LakeHouse, Databricks Workflows, and Databricks SQL, dbt
- Solid grasp of data Lakehouse and warehousing architecture
- Prior experience supporting AI/ML workflows, including training data pipelines and model deployment support
- Familiarity with infrastructure-as-code tools like Terraform or CloudFormation
Responsibilities
- The ideal candidate will have a strong background in building scalable data pipelines, optimizing big data workflows, and integrating Databricks with cloud services
- This role will play a pivotal part in enabling the customer’s data engineering and analytics initiatives—especially those tied to AI-driven solutions and projects—by implementing cloud-native architectures that fuel innovation and sustainability
- Partner directly with the customer’s data engineering team to design and deliver scalable, cloud-based data solutions
- Execute complex ad-hoc queries using Databricks SQL to explore large lakehouse datasets and uncover actionable insights
- Leverage Databricks notebooks to develop robust data transformation workflows using PySpark and SQL
- Design, develop, and maintain scalable data pipelines using Apache Spark on Databricks
- Build ETL/ELT workflows with AWS and Azure Services
Other
- Strong analytical and troubleshooting skills in a fast-paced, agile environment
- Excellent collaboration skills for interfacing with both technical and non-technical customer stakeholders
- Clear communicator with strong documentation habits
- Comfortable leading discussions, offering strategic input, and mentoring others
- Bachelor’s degree in computer science, Engineering, or a related field
