SailPoint-posted 3 months ago
Mid Level
1,001-5,000 employees

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.

  • Collaborate with AI/ML Engineers, Data Science, and product management to design and build scalable data solutions.
  • Build AI Agents for the SailPoint Product Offering.
  • Design and build data sets for analytics on AI products.
  • 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.
  • Spearhead complex data projects that power AI/ML products.
  • Represent key data insights in a meaningful way to stakeholders.
  • 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.
  • Familiarity with machine learning concepts and tools to support data-driven decision-making.
  • Health and wellness coverage: Medical, dental, and vision insurance.
  • Disability coverage: Short-term and long-term disability.
  • Life protection: Life insurance and Accidental Death & Dismemberment (AD&D).
  • Additional life coverage options: Supplemental life insurance for employees, spouses, and children.
  • Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account.
  • Financial security: 401(k) Savings and Investment Plan with company matching.
  • Time off benefits: Flexible vacation policy.
  • Holidays: 8 paid holidays annually.
  • Sick leave.
  • Parental support: Paid parental leave.
  • Employee Assistance Program (EAP) and Care Counselors.
  • Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options.
  • Health Savings Account (HSA) with employer contribution.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service