Staff Software Engineer

About the Role

Are you passionate about building scalable data systems and driving innovation? At SailPoint, our Engineering team is where high-quality engineering meets meaningful impact. We’re looking for a Staff Data Engineer to help architect and build our cloud-native, event-driven identity analytics platform hosted on AWS.

As a Staff-level engineer, you’ll play a critical role in shaping the technical direction of our data infrastructure, mentoring team members, and delivering robust, scalable solutions that power our SaaS products.

**THIS IS A HYBRID ROLE, candidate must be located in Austin, TX and willing to be onsite**

Key Responsibilities

• Architect and implement scalable, efficient data pipelines for batch and real-time processing using tools like DBT, Snowflake, Apache Flink, and Airflow.
• Design and deliver robust Java-based micro-services and Python-based EKS jobs for data transformation and feature engineering.
• Lead the development of real-time data ingestion and transformation systems.
• Collaborate cross-functionally with product, data science, and engineering teams to define and deliver impactful features.
• Drive engineering excellence through code reviews, design discussions, and mentoring.
• Ensure high code quality through comprehensive unit and integration testing.
• ·Contribute to observability and reliability practices, including monitoring, alerting, and on-call support.
• Mentor junior engineers and lead technical initiatives across teams.
• Influence long-term data strategy and architectural decisions.
   

Required Qualifications

• 8+ years of professional software/data engineering experience.
• Strong experience with Python, SQL, and object-oriented programming.
• Expertise in data engineering tools such as DBT, Snowflake, Airflow, and cloud-native data platforms.
• Proven experience in building and scaling big data applications with a focus on performance and observability.
• Hands-on experience with data frameworks like Pandas, Dask, or Polars.
• Experience deploying ML-based solutions from conception to production.
• Familiarity with CI/CD pipelines, version control, and monitoring tools (e.g., Prometheus, Grafana).
• Deep understanding of AWS/GCP/Azure services including EKS, S3, IAM, and CloudWatch.
• Strong communication and collaboration skills.
• Bachelor’s degree in Computer Science or a related field.
   

Preferred Qualifications

• Experience with Amazon SageMaker, AWS Bedrock, and model monitoring tools.
• Background in recommendation systems or real-time low-latency applications.
• Experience working closely with Data Science or AI/ML teams.
• Familiarity with cost optimization, schema design, and performance tuning in cloud data platforms.

SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law.  

Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact applicationassistance@sailpoint.com or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations.  NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.