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SailPoint
SailPoint
1,001 – 5,000 Employees
H1B Visa SponsorConsultingHealthcareLogistics
SailPoint develops identity security software for modern enterprises. Its portfolio includes IdentityIQ and Identity Security Cloud, helping organizations govern employee and non-employee access, secure cloud entitlements and data, reduce cyber risk, and support compliance. The company combines identity governance with artificial intelligence and machine learning to automate identity processes and improve IT efficiency. SailPoint serves organizations across consulting, healthcare, logistics, education, financial services, and government.
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Senior Data Engineer at SailPoint, Texas Remote

Build SailPoint’s cloud identity-security lakehouse and streaming platform. Lead scalable pipelines, data models, reliability improvements, and production data services.

USUnited StatesTXTexas
$108,600 – $183,018 / year
RemoteFull-timeSeniorEnglish RequiredData Engineer
AirflowApacheAWSAzureCassandraCloudETLGoogle Cloud PlatformJavaKafkaKubernetesPythonScalaSparkSQLTerraform

Description

  • Design, build, and operate scalable ETL/ELT pipelines and data services across the managed lakehouse
  • Manage pipelines and datasets from initial requirements through production support
  • Develop warehouse and lakehouse data models for product capabilities, analytics, and machine learning
  • Shape data architecture through design discussions and author or review technical design documents
  • Optimize performance, reliability, and cost across Snowflake, Iceberg, Spark/Flink, storage, and serving layers
  • Maintain responsive graph-serving data models and access patterns as data volumes increase
  • Establish standards for data quality, governance, lineage, and observability
  • Collaborate with product, infrastructure, security, analytics, data science, and software engineering teams
  • Review code and provide actionable, constructive feedback
  • Support junior engineers through mentoring and contribute to team processes, tools, and onboarding
  • Apply AI-assisted development methods while upholding code review, security, and data governance requirements
  • Join the on-call rotation and convert incident findings into durable engineering improvements
  • Complete onboarding, learn the product and technology stack, engage stakeholders, configure environments, and deliver focused reliability, performance, modeling, or pipeline-hardening projects
  • Lead significant features or pipelines through delivery while contributing to architecture, reviews, and mentorship
  • Become a dependable owner of platform areas and deliver measurable gains in reliability, data freshness, or cost

Requirements

  • At least five years of professional experience building production software, including substantial data engineering experience
  • At least two years owning production pipelines, datasets, or data services
  • Hands-on strength in SQL, data modeling, and query optimization, preferably with Snowflake or a comparable cloud warehouse
  • Hands-on experience with dbt and Airflow or comparable technologies
  • Proficiency in Python, Java, or Scala
  • Professional experience with distributed batch and streaming processing
  • Production experience with one or more of Kafka, Flink, Spark, or Cassandra
  • Practical experience using AI-assisted software development tools with rigorous review before production release
  • Experience working with cloud-native systems on AWS, Azure, or GCP
  • Understanding of data governance, security, and compliance practices
  • Ability to work independently, meet deadlines, and produce quality results in unfamiliar parts of a codebase
  • Ability to create clear design documents and communicate technical tradeoffs with engineering and product stakeholders
  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
  • Preferred experience includes large-scale data platforms, Apache Iceberg lakehouse architectures, graph data systems, SLOs and observability, Kubernetes, Terraform or CloudFormation, continuous delivery, Spark or Flink optimization, OpenSearch, ML workflows and MLOps, and IAM/IGA or compliance-, security-, or privacy-sensitive domains

Benefits

  • Medical, dental, and vision insurance
  • Short-term and long-term disability coverage
  • Life insurance and Accidental Death & Dismemberment (AD&D)
  • Supplemental life insurance for employees, spouses, and children
  • Flexible spending accounts for health care and dependent care
  • Limited purpose flexible spending account
  • 401(k) Savings and Investment Plan with company matching
  • Flexible vacation policy
  • Eight paid holidays annually
  • Sick leave
  • Paid parental leave
  • Employee Assistance Program (EAP) and Care Counselors
  • Optional legal assistance, critical illness, accident, hospital indemnity, and pet insurance
  • Health Savings Account (HSA) with employer contribution
  • Potential eligibility for equity participation
  • Potential eligibility for the SailPoint Corporate Bonus Plan or a role-specific commission

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