SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into the entirety of their digital workforce, ensuring workers have the right access to do their job – no more, no less.
As a Senior Software Engineer on our Data Platform team you will help build our SailPoint Data Platform. We are looking for a well-rounded software engineer who is passionate about building a large-scale data infrastructure. You will work closely with Data Engineers, Warehouse Engineers, other software engineers and Data Scientists.
You will bring software engineering expertise to our Data Platform team. We are looking for someone with strong Python, Java, SQL, Snowflake and DBT experience.
Responsibilities
- Collaborate with peers on designs, code reviews, and testing
- Produce unit and end-to-end tests to improve code quality and maximize code coverage for new and existing features
- Maintain and support current architecture (ETL) and evolve to newer architecture (ELT)
- Deliver efficient, maintainable, robust Java based microservices.
- Utilize a Data Platform to build and deliver data models via Java services.
- Produce designs and rough estimates, and implement features based on product requirements.
- Collaborate with peers on designs, code reviews, and testing.
- Use telemetry to demonstrate the effectiveness of deployed services.
- Work independently and deliver quality code on time
Requirements
* Must be willing to work 4 overlapping hours with US timezone. You will work closely with US based managers and engineers *
- 5+ years of professional software development experience
- At least 5 years of experience addressing and solving intricate data engineering challenges
- A demonstrated eagerness to acquire new technical skills and adapt to evolving data landscapes
- Strong programming skills, particularly in Python and Java, complemented by advanced SQL knowledge
- Experience with Airflow DAGs, DBT models, Snowflake, Spark
- Extensive hands-on experience building solutions for large-scale data infrastructure
- Hands-on experience or deep understanding of data ingestion processes, data management best practices, and data warehousing principles.
- Proficient experience with object-oriented analysis and design skills
- Proficient understanding of Restful API’s
- Strong experience testing code completeness and using telemetry to measure health and efficiency of services
- Experience documenting requirements, proposed implementations, progress, challenges, and explanations of finished work
- BS in Computer Science, or equivalent experience
Preferred
- Experience with AWS
- Experience working on a Big Data/Machine Learning product
- Experience instrumenting code for gathering production performance metrics
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.
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What We Do
At SailPoint, we believe enterprise security must start with identity at the foundation. Today’s enterprise runs on a diverse workforce of not just human but also digital identities—and securing them all is critical. Through the lens of identity, SailPoint empowers organizations to seamlessly manage and secure access to applications and data at speed and scale. Our unified, intelligent, and extensible platform delivers identity-first security, helping enterprises defend against dynamic threats while driving productivity and transformation. Trusted by many of the world’s most complex organizations, SailPoint secures the modern enterprise.
Why Work With Us
Together, we’re redefining identity’s place in the security ecosystem. We love taking on new challenges that seem daunting to others. We hold ourselves to the highest standards and deliver upon our promises to our customers. We bring out the best in each other, and we’re having a lot of fun doing it.
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