22 days ago
USA (city not specified)Senior
Base Salary
$109k - $183k/yr
Responsibilities
- Design, build, and operate scalable batch and streaming ETL/ELT pipelines and data services on a managed lakehouse.
- Own pipelines, datasets, and data services from requirements through production support.
- Build warehouse and lakehouse data models supporting product features, analytics, and machine learning.
- Contribute to data architecture, design documents, code reviews, tooling, onboarding, and team practices.
- Improve performance, reliability, cost, responsiveness, data quality, governance, lineage, and observability across data systems.
- Partner with product, infrastructure, security, analytics, data science, and software engineering teams.
- Mentor junior engineers and provide constructive technical feedback.
- Use AI-assisted development practices with disciplined review, security, and data governance standards.
- Participate in the data-systems on-call rotation and implement lasting fixes from incident learnings.
Requirements
- 5+ years of professional experience building production software, including substantial data engineering experience.
- 2+ years owning meaningful production pipelines, datasets, or data services.
- Strong hands-on experience with SQL, data modeling, query optimization, dbt, Airflow, or close equivalents.
- Proficiency in Python, Java, or Scala.
- Production experience with distributed batch or streaming processing and at least one of Kafka, Flink, Spark, or Cassandra.
- Professional experience using AI-assisted software development tools for data modeling, SQL/dbt, pipeline development, testing, and documentation.
- Comfort working with cloud-native systems on AWS, Azure, or GCP.
- Knowledge of data governance, security, and compliance best practices.
- Ability to deliver high-quality work independently, communicate clearly, write design documents, and explain technical tradeoffs.
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- Preferred: experience building large-scale data platforms and Apache Iceberg lakehouse systems.
- Preferred: experience with graph-oriented data systems, large relationship datasets, SLOs, Grafana, Prometheus, Datadog, Kubernetes, Terraform, CloudFormation, continuous delivery, Spark or Flink tuning, OpenSearch, machine learning workflows, MLOps, IAM/IGA, compliance, security, or privacy-sensitive products.
Benefits
- US base salary range is $108,600–$183,018, with possible bonus, commission, and equity eligibility; compensation varies by location and employment circumstances.
- Medical, dental, and vision insurance.
- Short-term and long-term disability coverage, life insurance, AD&D, and supplemental life insurance options.
- Health care, dependent care, and limited-purpose flexible spending accounts, plus an HSA with employer contribution.
- 401(k) Savings and Investment Plan with company matching.
- Flexible vacation policy, 8 paid holidays annually, sick leave, and paid parental leave.
- Employee Assistance Program, Care Counselors, legal assistance, critical illness, accident, hospital indemnity, and pet insurance options.
Tech Stack
Apache AirflowApache CassandraApache FlinkApache KafkaApache SparkAWSAzureDatadogdbtGoogle Cloud PlatformGrafanaJavaKubernetesPrometheusPythonScalaSnowflakeSQLTerraform
Categories
Data Engineering
About SailPoint
SailPoint builds identity security software for large enterprises, covering identity governance, access management, automated provisioning, and compliance controls across cloud and on‑prem systems. It sells primarily via subscription licenses and enterprise services. Founded in 2005 and headquartered in Austin, Texas, SailPoint is owned by Thoma Bravo and serves complex, security‑sensitive organizations that need to manage workforce and machine identities at scale.