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.
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 Data Platform team does just that. SailPoint is seeking a Senior Data Engineer to help build robust data ingestion and processing system to power our data platform. We are looking for well-rounded engineers who are passionate about building and delivering reliable, scalable data pipelines.
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:
BS in computer science or a related field.
5+ years of experience in data engineering or related field.
Demonstrated system-design experience orchestrating ELT processes targeting data
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.
Experience with DBT, Kafka, Jenkins and Snowflake.
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.
Comfortable working in ambiguous team-situations, showcasing adaptability and drive in solving novel problems in the data-engineering space.
Preferred
Experience with AWS
Experience with CICD
Experience instrumenting code for gathering production performance metrics
Experience in working with a Data Catalog tool ( Ex: Atlan / Alation)
What success looks like in the role
Within the first 30 days you will:
Onboard and set up your development and test environment and get access to the data platform.
Meet your team and key stakeholders and complete new-hire onboarding.
Build understanding of the company, the team’s mission, and your role, and identify the team’s top priorities.
Complete your first ticket and learn core workflows (e.g. version control and configuration).
Complete relevant product and platform training.
Shadow on-call and monitoring to see how the team supports production.
By 60 days:
Contribute regularly by working on well-scoped tickets and documenting how similar work is done.
Use team development practices (e.g. CI/CD, code review) and give or receive feedback on pull requests.
Complete required security and secure-coding training.
Build familiarity with the team’s data models, business logic, dashboards, and runbooks.
Participate in secondary on-call and monitoring.
By 90 days:
Take on more ownership: higher-point tickets, primary on-call, and helping improve runbooks and operations.
Learn observability, data, and streaming concepts used by the team and document key components and their interactions.
Share your experience (e.g. internal blog or project summary) and continue learning deployment and orchestration concepts relevant to the platform.
Collaborate with support and engineering management to resolve escalations and improve how the team operates.
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 [email protected] 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.
Top Skills
SailPoint Austin, Texas, USA Office
11120 Four Points Drive , Austin, TX, United States, 78726
International Culture




SailPoint aims to ensure that every element of its culture is both accessible and scalable, offering an enriching workplace experience for employees worldwide. Tied together by tools, practices and opportunities for connection, employees are empowered to make an impact together — from anywhere.
Engineering
Our engineering team is a remote-friendly team with a strong focus on career development and promotion. Our organization is comprised of small teams that are wholly responsible for one or more services, including architecture, development, quality, reliability, monitoring, and operations.
Professional Services
The professional services team at SailPoint prides itself on being an environment that fosters growth, collaboration and success. As an employee within professional services, you will have a chance to work with some of the biggest companies in the world, implementing one of the most sought-after solutions in technology. You’ll be part of a diverse, inclusive culture that makes it feel like a much smaller company.
Sales
At SailPoint, our sales crew members take part in our robust certification academy that features instructor-led webinars and self-service training. Our top employees from product, marketing, sales engineering, sales operations and sales lead these training sessions, delivering knowledge through storytelling, whiteboarding, breakout sessions and demos. At SailPoint our sales team is focused on being a collaborative atmosphere that is invested in our employees.
Similar Jobs at SailPoint
What you need to know about the Austin Tech Scene
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center





