Sailpoint

Sailpoint

Senior Data Engineer

United States · Senior

Sponsorship not specified$109k-$183kDetected 7 hours ago
PythonJavaCode ReviewGitSQLSnowflakeAWSAzureCloud PlatformsKubernetesTerraformCI/CDPrometheusGrafanaDatadogKafkaMachine LearningSparkAirflowdbtData EngineeringMLOpsCommunicationMentoring

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odds of building a lasting career here

57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

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Files H-1B transfers

9 transfer filings in the last year, covering 9 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

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About the role

  • It powers Identity Security Cloud, the Identity Graph, and analytics and ML products across SailPoint, so product teams can ingest, store, process, and serve identity data at SaaS scale.
  • This is a strong individual contributor role.
  • batch and streaming pipelines, warehouse and lakehouse models, and the data services product teams depend on.

Responsibilities

  • Design, build, and operate scalable ETL/ELT pipelines and data services on our managed lake-house.
  • Own meaningful pipelines and datasets end to end - from requirements through production support.
  • Build robust data models for the warehouse and lakehouse that support product features, analytics, and ML.
  • Contribute to data architecture and design discussions
  • write and review design documents.
  • Implement data quality checks, governance, lineage, and observability standards for the work you own.
  • Partner with product, infrastructure, security, and analytics teams, and with data scientists and software engineers, to ship practical solutions.

Requirements

  • 2+ years owning meaningful pipelines, datasets, or data services in production.
  • Strong hands-on experience with SQL, data modeling, and query optimization - ideally on Snowflake or a comparable cloud warehouse.
  • Strong hands-on experience with dbt and Airflow, or close equivalents.
  • Proficiency in at least one programming language: Python, Java, or Scala.
  • Working experience with distributed processing (batch and streaming) and production experience with at least one of Kafka, Flink, Spark, or Cassandra.
  • Comfort working with cloud-native systems on AWS, Azure, or GCP.
  • Knowledge of data governance, security, and compliance best practices.
  • Experience with SLOs and modern observability for data systems (Grafana, Prometheus, Datadog) and with instrumenting data jobs for performance, quality, and cost visibility.
  • Required
  • 5+ years of professional experience building production software, with substantial time in data engineering.
  • Practical experience using AI-assisted software development tools (for example GitHub Copilot, Cursor, or Claude Code) in a professional engineering workflow - including data modeling, SQL/dbt, and pipeline development, testing, and documentation - with disciplined review before production use.
  • Demonstrated ability to deliver high-quality work independently and on time, including in unfamiliar areas of the codebase.
  • Strong communication skills: you can write a clear design doc and explain tradeoffs to engineering and product partners.
  • Preferred

Nice to have

  • Exposure to graph-oriented data systems and large relationship datasets
  • interest in billion-scale problems is a plus.

Skills

  • BS in Computer Science, Engineering, or equivalent practical experience.
  • Exposure to graph-oriented data systems and large relationship datasets; interest in billion-scale problems is a plus.
  • Experience with Kubernetes, infrastructure as code (Terraform, CloudFormation), and continuous delivery for data systems.
  • Operational tuning experience with Spark or Flink.
  • Experience with search and information retrieval systems such as OpenSearch.
  • Exposure to machine learning workflows and MLOps practices.
  • Familiarity with IAM/IGA, compliance, security, or other privacy-sensitive product domains.
  • Success looks like

Compensation

  • We estimate the base salary, for
  • US-based employees, will be in this range from (min-max, USD):
  • Holidays: 8 paid holidays annually

Benefits

  • 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.
  • Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
  • Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account
  • Health Savings Account (HSA) with employer contribution
  • Flexible vacation policy
  • Parental support: Paid parental leave
  • Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability.

Equal opportunity

  • equal opportunity employer and we welcome all qualified candidates to apply to join our team.
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This listing is sourced directly from Sailpoint's careers page and normalized into a canonical job model.