TensorOps is hiring a Staff Data Engineer to own and evolve our data pipelines and infrastructure. In this role, you will drive innovation, ensure integration of modern technologies, and deliver data-driven solutions for Inspiren's data systems used by both external and internal consumers.
What You'll Do
- Collaborate with engineering, data science, ML, and product analytics teams to develop data models and pipelines for customer-facing applications, research, reporting and machine learning.
- Develop, implement and optimize ETL processes for ingesting, processing and transforming large volumes of structured and unstructured data into our data ecosystem.
- Optimize data models to support efficient data storage and retrieval processes for performance and scalability.
- Evaluate and implement a variety of data storage solutions, including RDS, NoSQL, data lakes and cloud storage services.
- Work in close partnership with Platform Engineering to influence the direction and needs of the data platform.
What We're Looking For
- Bachelor's or Master's degree in Computer Science, or a related engineering field.
- Fluency in building and maintaining ETL processes.
- Outstanding analytical skills and the ability to address problems in real-world settings.
- A demonstrated ability to work in a team, with excellent skills-sharing capabilities.
- 8+ years of full stack or backend development experience.
- Expertise in modern ETL technologies and building and supporting data pipelines at scale.
- Proven experience in evaluating and optimizing data architectures to increase performance, data discovery, and reduce cost.
- Proven experience with cloud-based data engineering pipeline design at scale.
- Proven proficiency in one or more programming languages such as Python or Java, as well as SQL.
- Well-versed in the development lifecycle and software engineering best practices.
- Excellent verbal and written communication skills, with the ability to convey complex ideas clearly.
- Comfortable working in a fast-paced, dynamic environment and adapting to changing priorities.
Nice to Have
- AWS and Databricks experience are plusses.
- Start-up experience is a plus.
- Health-tech experience is a plus.
Technical Stack
- RDS, NoSQL, Data lakes, Cloud storage services
- AWS, Databricks
- Python, Java, SQL
Benefits & Compensation
- Salary: $200,000-$225,000 + equity
- Medical, dental, and vision insurance
- Flexible PTO
Work Mode
This is a global position open to candidates based in the US and Canada.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
