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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** SailPoint Technologies, Inc - **Location:** Houston, TX, United States - **Experience:** Expert - **Salary:** $164,500.0 - $255,275.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Apache HTTP Server, Microsoft Azure, Software as a Service, Cloud Computing, Code Review, Continuous Delivery, Data as a Services, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Systems, Cursor, Software Debugging, Software Design Documents, Distributed Computing Environment, Identity and Access Management, Information Retrieval, Query Optimization, Software Tools, Prometheus, SQL Databases, Data Streaming, Datadog, GitHub Copilot, Snowflake, Grafana, Apache Spark, Cloudformation, Kubernetes, Information Technology, Apache Flink, Cassandra, Apache Kafka, Data Management, Machine Learning Operations, SailPoint, Terraform, Data Pipelines - **Published:** September 29, 2026 - **Apply:** https://www.jofdav.com/jobs/59912721-senior-data-engineer ## About the Role * 5+ years of professional experience building production software, with substantial time in data engineering. * 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. * 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. * Comfort working with cloud-native systems on AWS, Azure, or GCP. * Knowledge of data governance, security, and compliance best practices. * 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. * BS in Computer Science, Engineering, or equivalent practical experience., * Background building data platforms at scale, including lakehouse patterns with Apache Iceberg. * Exposure to graph-oriented data systems and large relationship datasets; interest in billion-scale problems is a plus. * Experience with SLOs and modern observability for data systems (Grafana, Prometheus, Datadog) and with instrumenting data jobs for performance, quality, and cost visibility. * 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. ## Description Join the team building the SailPoint Next Gen Identity Data Platform, an industry-leading lakehouse and streaming foundation for identity security. 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. As a Senior Data Engineer, you will design, build, and operate critical pieces of that platform: batch and streaming pipelines, warehouse and lakehouse models, and the data services product teams depend on. The platform supports Identity Security Cloud, Non-Employee Risk Management, Machine Identity Security, Agent Identity Security, Data Access Security, and Cloud Infrastructure and Entitlement Management - so the shape of your data and the quality of your pipelines directly determine how fast, clear, and trustworthy those products feel to customers. This is a strong individual contributor role. You will own features and components end to end, raise the engineering bar for your team, and mentor more junior engineers. What you will do * 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. * Improve performance, reliability, and cost across Snowflake, Iceberg, Spark/Flink, and the storage and serving layers. * Help keep graph-serving data models and access patterns responsive as data volume grows. * 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. * Set a strong example in code reviews and give constructive, high-signal feedback to peers. * Mentor junior engineers and contribute to team practices, tooling, and onboarding. * Use AI-assisted development practices to accelerate delivery while upholding code review, security, and data governance standards. * Participate in the on-call rotation for data systems and turn incident learnings into lasting fixes., * First 30 days - Onboard, learn the product and stack, meet stakeholders, set up environments, and land scoped reliability, performance, modeling, or pipeline-hardening work. * By 90 days - Own meaningful features or pipelines end to end; contribute to design and reviews; start mentoring on dbt, Snowflake, and pipeline practice. * By 6 months - Trusted owner of one or more platform areas with measurable impact; improve reliability, freshness, or cost with before/after metrics; share on-call; occasionally debug escalations that have stalled others; strengthen reviews, tooling, mentorship, and docs. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [".Net is too slow" was not an option](https://www.wearedevelopers.com/videos/100176-net-is-too-slow-was-not-an-option) - [The Memory Leak That Ate Our Cluster: A Postmortem](https://www.wearedevelopers.com/videos/2057-the-memory-leak-that-ate-our-cluster-a-postmortem) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure](https://www.wearedevelopers.com/videos/1583-software-engineering-social-connection-yubo-s-lean-approach-to-scaling-an-80m-user-infrastructure) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)