SailPoint Logo

SailPoint

Senior Data Engineer (REMOTE)

Sorry, this job was removed at 12:08 a.m. (EST) on Wednesday, Jul 23, 2025
Remote or Hybrid
Hiring Remotely in United States
106K-196K Annually
Remote or Hybrid
Hiring Remotely in United States
106K-196K Annually

Similar Jobs at SailPoint

An Hour Ago
Remote or Hybrid
United States
117K-197K Annually
Expert/Leader
117K-197K Annually
Expert/Leader
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The Advisory Agentic Technologist will be the Subject Matter Expert in identity management, driving technical success and strategy, collaborating on agentic AI innovations, and influencing product development, with a focus on the US, Canada, and Latin America.
Top Skills: AIAPIsAutogptAws BedrockAzure OpenaiGoogle Vertex AiIdentity And Access Management (Iam)Identity Governance And Administration (Iga)JavaJavaScriptLangchainLlamaindexMachine LearningPython
Yesterday
Remote or Hybrid
United States
156K-263K Annually
Senior level
156K-263K Annually
Senior level
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The Senior Staff Data Engineer will design scalable data systems, lead technical direction, optimize data platforms, and ensure data quality and performance for Observability & Insights.
Top Skills: AirflowAWSAzureCassandraDatadogDbtFlinkGCPGrafanaPrometheusSailpointSnowflakeSpark
Yesterday
Remote or Hybrid
2 Locations
109K-184K Annually
Mid level
109K-184K Annually
Mid level
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The role involves selling SailPoint's Identity Security solutions, managing accounts, collaborating with a virtual team, and achieving revenue goals.
Top Skills: MicrosoftOktaSalesforceSaviynt

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.

Built on a foundation of AI and ML, our Identity Security Cloud Platform delivers the right level of access to the right identities and resources at the right time—matching the scale, velocity, and changing needs of today’s cloud-oriented, modern enterprise.

About the role:

As a Senior Data Engineer, you will collaborate with a team of AI/ML Engineers, Data Science and product management to design and build scalable data solutions that power the ML and analytics products our team owns. You will immediately join the team that is building AI Agents for the SailPoint Product Offering. In this role, your technical skills and analytical mindset will be utilized designing and building data sets that will be consumed by other teams and functions to perform analytics on AI products. In the longer term will become well-versed in building complex feature sets that power AI/ML products.

About the team:

The AI team at SailPoint applies AI and domain expertise to create AI solutions that solve real problems in identity governance. We believe the path to success is through meaningful customer outcomes, and we leverage traditional AI/ML as well as recent innovations in Generative AI and Graph ML to bring our solutions to SailPoint’s core product lines.

Requirements:

  • Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

  • B.S. in Computer Science, or a related field.

  • 5 to 9 years of professional experience

  • Experience leading projects

  • Ability to design and implement data models that support business requirements and analytics needs

  • Experienced in engineering data pipelines and orchestrating workflows

  • 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.

  • Familiarity with software engineering best practices (e.g. source control, code reviews, unit testing)

  • Can-do attitude with a focus on delivering measurable business impact.

  • Thrive in an environment with ambiguity, demonstrating adaptability and problem-solving skills.

  • Strong communicator who can convey complex topics to different audiences.

Preferred 

  • Familiarity with machine learning concepts and tools to support data-driven decision-making

  • Experience working with our team Tech Stack

The Tech Stack:

  • Required Core Programming: SQL, Python, Shell/Bash 

  • Preferred Cloud Platform: AWS

  • Preferred Data: Snowflake, DBT, Kafka, Airflow, Feast

  • Preferred Visualization: Tableau, Qlik

  • Preferred CI/CD: Cloudbees, Jenkins

Roadmap for success-

30 days:

  • Understand the current data infrastructure and workflows.

  • Get familiar with the team and ongoing projects.

  • Start contributing to small tasks and bug fixes.

90 days:

  • Take ownership of a scoped project or feature.

  • Collaborate with team members to design and implement data models.

  • Begin building data pipelines and orchestrating workflows.

6 months:

  • Lead the design and implementation of ELT processes.

  • Develop and maintain scalable data pipelines for both stream and batch processing.

  • Ensure data security, quality, and compliance in your areas of ownership.

1 year:

  • Spearhead complex data projects that power AI/ML products.

  • Collaborate with cross-functional teams to integrate diverse data sources.

  • Represent key data insights in a meaningful way to stakeholders.

Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint.

As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint’s differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary, for US-based employees, will be in this range from (min-mid-max, USD):

$105,500 - $150,700 - $195,900

Base salaries for employees based in other locations are competitive for the employee’s home location.

Benefits Overview

1. Health and wellness coverage: Medical, dental, and vision insurance

2. Disability coverage: Short-term and long-term disability

3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D)

4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children

5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account

6. Financial security: 401(k) Savings and Investment Plan with company matching

7. Time off benefits: Flexible vacation policy

8. Holidays: 8 paid holidays annually

9. Sick leave

10. Parental support: Paid parental leave

11. Employee Assistance Program (EAP) and Care Counselors

12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options

13. Health Savings Account (HSA) with employer contribution

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.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account