Data Engineer

Responsibilities- The Data Engineer will primarily work in DBT modeling with our site and activity data to provide accessibility to our most important data- The Data Engineer will also support the movement and modeling of new data sources in DBT- Collaborate with software engineers and analysts in data collection and data usage to model analytics tables from raw format to useable fact tables- Build and maintain data warehouses and data marts- Configure DBT models to keep the cost per query down and query speeds high for the team**Qualifications**:- 2-5 years of professional experience as a data engineer in a high-growth medium-sized company- At least 5 years of experiences with ETL modeling and scheduling with tools like DBT, Airflow, Databricks etc.- Experience with big data technologies such as Hadoop, Spark, and Kafka- Strong experience with SQL, Python, and other data engineering technologies- Strong proficiency in using cloud data warehouse (Redshift, Snowflake)- Hands-on knowledge and experience with common technologies used in software engineering such as bash, git and docker- Experience with data security and governance best practices- Preferred but not required: Bachelors or higher degree in Computer Science, Math or a related STEM fieldSailPoint is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.