Senior Data Engineer

Want to be on a team that full of results-driven individuals who are constantly seeking to innovate? Want to make an impact? At SailPoint, our Engineering team does just that. Our engineering is where high-quality professional engineering meets individual impact. Our team creates products are built on a mature, cloud-native event-driven microservices architecture hosted in AWS. SailPoint is seeking a Backend Software Engineer to help build a new cloud-based SaaS identity analytics product. We are looking for well-rounded backend or full stack engineers who are passionate about building and delivering reliable, scalable microservices and infrastructure for SaaS products. This is a unique opportunity to build something from scratch but have the backing of an organization that has the muscle to take it to market quickly, with a very satisfied customer base. Responsibilities: • Spearhead the design and implementation of ELT processes, especially focused on extracting data from and loading data into various endpoints, including RDBMS, NoSQL databases and data-warehouses. • Develop and maintain scalable data pipelines for both stream and batch processing leveraging JVM based languages and frameworks. • Collaborate with cross-functional teams to understand diverse data sources and environment contexts, ensuring seamless integration into our data ecosystem. • Utilize AWS service-stack wherever possible to implement lean design solutions for data storage, data integration and data streaming problems. • Develop and maintain workflow orchestration using tools like Apache Airflow. • Stay abreast of emerging technologies in the data engineering space, proactively incorporating them into our ETL processes. • Thrive in an environment with ambiguity, demonstrating adaptability and problem-solving skills. Qualifications: • 5 years of coding experience in Python, Java. Hands-on experience with at least one streaming or batch processing framework, such as Flink or Spark. • Hands-on experience with containerization platforms such as Docker and container orchestration tools like Kubernetes. • Proficiency in AWS service stack. • Familiarity with workflow orchestration tools such as Airflow. • Comfortable working in ambiguous team-situations, showcasing adaptability and drive in solving novel problems in the data-engineering space. • BS in computer science or a related field. Preferred: • Demonstrated system-design experience orchestrating ELT processes targeting data integration into modern datastores including relational databases, non-relational databases, and data warehouses. • Experience leveraging tools such as Kustomize, Helm and Terraform for implementing infrastructure as code. • Strong interest in staying ahead of new technologies in the data engineering space.SailPoint 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.