Design and maintain pipelines, infrastructure, and systems for clean, reliable data delivery. Work on ETL/ELT pipelines, data infrastructure, and data models for efficient storage, retrieval, and transformation. Provide limited on-call after-hours critical support.
Requirements
- 2+ years of experience in data engineering, software engineering, or a related field
- Proficiency in SQL scripting and advanced database concepts, with hands-on experience working with large datasets
- Experience with Python for scripting, automation, and data processing workflows
- Familiarity with ETL tools and frameworks such as Fivetran, and experience with Snowflake for data warehousing
- Understanding of cloud computing (AWS) and data security best practices
- Understanding of CI/CD practices and experience working in Git
- A collaborative attitude and the ability to work across teams to solve complex data challenges
- Strong critical thinking and problem-solving skills, paired with a genuine curiosity for how data systems work
- The ability to work within a team to foster connectedness
- Pass a background check and comply with all legal or company regulations for working in the industry
- Must be a minimum of 21 years of age
Benefits
- Competitive pay
- Discretionary annual incentive program driven by organization and individual performance
