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Data Engineer
Remote / Online - Candidates ideally in
Austin, Travis County, Texas, 78716, USA
Listed on 2025-12-06
Austin, Travis County, Texas, 78716, USA
Listing for:
SailPoint Technologies Holdings, Inc.
Remote/Work from Home
position Listed on 2025-12-06
Job specializations:
-
IT/Tech
Data Engineer
Job Description & How to Apply Below
##
** Staff Data Engineer – Streaming Data Systems
***
* Location:
** REMOTE
** Team:
** Data Platform
** Level:
** Staff##
** About the Role
** We are looking for a
** Staff Data Engineer
** with deep expertise in
** streaming data architectures
** to drive the evolution of our real-time data platform. This role is highly technical and hands-on — ideal for someone who thrives on solving complex scaling challenges, architecting low-latency systems, and leading teams to deliver high-quality streaming data solutions that power analytics, machine learning, and core product features.
As a senior member of the data engineering team, you’ll shape the technical direction of our streaming ecosystem and help define best practices for how data flows through our organization.##
** Responsibilities**
* ** Architect and lead
** the design and implementation of scalable, fault-tolerant
** streaming data pipelines
** using platforms such as
** Apache Kafka, Flink, Spark Structured Streaming, or Kinesis**.
* ** Evolve the real-time data platform
** to support new business use cases, ensuring low-latency data delivery and high reliability.
* Partner with
** data scientists, product engineers, and platform teams
** to design data models and streaming APIs that enable real-time insights and decision-making.
* Drive
** data quality, observability, and governance
** across streaming systems, including schema management, lineage, and monitoring.
* Optimize pipeline performance, reliability, and cost across multiple environments (cloud and on-prem).
* Lead
** code reviews, architecture reviews, and technical mentoring
** for other engineers.
* Establish and champion
** best practices
** for streaming data engineering, deployment automation, and CI/CD for data systems.
* Collaborate with platform teams to ensure data systems are
** secure, compliant, and highly available**.##
** Qualifications
* **
* Required:
*** 8+ years of experience in
** data engineering**, with at least 3+ years in
** real-time or streaming systems**.
* Deep expertise with
** Kafka** (or equivalent message brokers), including schema registry, partitioning strategies, and consumer group management.
* Hands-on experience with
** stream processing frameworks** (e.g., Apache Flink, Spark Structured Streaming, Kafka Streams).
* Strong proficiency in
** Python, Scala, or Java**, and familiarity with data pipeline orchestration tools (Airflow, Dagster, etc.).
* Solid understanding of
** distributed systems, networking, and storage**.
* Experience with
** cloud platforms** (AWS, GCP, or Azure) and managed streaming services (Kinesis, Pub/Sub, etc.).
* Familiarity with
** data modeling, lakehouse architectures, and batch + streaming integration**.
** Preferred:
*** Experience building
** exactly-once
** or
** idempotent
* * streaming pipelines.
* Knowledge of
** data governance, lineage, and observability tools** (e.g., Datadog, Prometheus, Open Lineage).
* Prior experience leading a data platform or mentoring senior engineers.
* Exposure to
** machine learning feature pipelines
** or
** event-driven microservices**.###
** What You’ll Bring
*** A strong sense of ownership and curiosity for optimizing data flow in complex environments.
* Ability to think strategically while delivering practical, scalable solutions.
* Leadership in driving cross-team collaboration and influencing architectural direction.
* Passion for helping teams move from
** batch-oriented thinking
** to
** event-driven design**.###
** Why Join Us
** You’ll play a pivotal role in
** building the next generation of our data platform**, enabling real-time insights that directly impact business outcomes. We invest in engineering excellence, autonomy, and continuous learning — and we’re looking for a Staff Data Engineer who shares that vision.
Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint.
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. SailPoint maintains broad salary ranges for its roles to account…
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