Oportun is seeking a Data Security Engineer to design, implement, and maintain scalable data systems and pipelines that enable data-driven decision-making. The ideal candidate will have experience with Databricks, SQL, and Python, and a strong understanding of data modeling, ETL/ELT concepts, and data warehousing principles.
Requirements
- 2–4 years of experience in data engineering, software engineering, or related technical roles
- Strong proficiency in SQL and Python programming for data processing and transformation
- Hands-on experience with Databricks or similar distributed data processing platforms (e.g., Spark)
- Foundational understanding of data modeling, ETL/ELT concepts, and data warehousing principles
- Experience working with cloud platforms (AWS, GCP, or Azure) and data storage solutions
- Familiarity with version control and collaboration tools (e.g., GitHub, Jira, Confluence)
- Strong problem-solving and critical-thinking skills; ability to work with large datasets and optimize performance
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
