RESPONSIBILITIES
- Build and maintain data pipelines and ETL processes
- Develop data models, schemas, and integration workflows
- Support data quality, reliability, and governance
- Collaborate with engineering teams to integrate data into applications and services
- Optimize storage, performance, and pipeline efficiency
- Maintain documentation for data structures, flows, and systems
QUALIFICATIONS
- 3+ years of experience in data engineering or related fields
- Strong proficiency with Python, SQL, and modern data tooling
- Experience with data pipelines, ETL frameworks, and distributed systems
- Understanding of relational and non-relational databases
- Familiarity with cloud environments and containerized infrastructure
WHO YOU ARE
- Detail-oriented and committed to accuracy and reliability
- Collaborative and comfortable working with cross-functional teams
- Process-focused with a passion for building scalable data systems
EQUAL OPPORTUNITY STATEMENT
We are an equal opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, or military service.
