Senior Data Engineer Job at DauTech, Austin, TX

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  • DauTech
  • Austin, TX

Job Description

Senior Data Engineer – Large Distributed Systems & Data Platform Engineering

Exclusive Senior Data Engineering Opportunity with a Pre-IPO SaaS Cloud Security Company Offering Long-Term Growth Potential

Are you passionate about building large-scale distributed data platforms ? Do you thrive in an environment where applications run on Kubernetes, processing data in parallel across a highly available infrastructure? If so, we want to talk to you!

As a Senior Data Engineer , you will be a key player in designing, optimizing, and scaling our Application Data Platform (ADP)—a foundational system that powers both analytical and operational workloads . You’ll work with event-driven architectures, log-based processing, and time-series data , enabling our threat detection and security intelligence products.

Tech Stack:

  • Languages : Python, Rust
  • Infrastructure : Kubernetes, Docker, AWS
  • Data Processing & Storage : Iceberg, Delta Lake, S3, Trino
  • Orchestration & CI/CD : Git, Terraform, Jenkins
  • Environment : Linux/Unix

Job Responsibilities:

  • Architect, build, and optimize large-scale distributed data systems that process high-velocity event, log, and time-series data .
  • Design and deploy production-grade data pipelines with parallel processing architectures .
  • Develop and maintain scalable data platforms running on Kubernetes and AWS .
  • Write and deliver production-grade code daily, ensuring high performance and reliability.
  • Work upstream to ensure data is clean, structured, and ready for downstream analytics and operational use cases.
  • Collaborate cross-functionally with engineering teams, product managers, and stakeholders to refine platform capabilities.
  • Mentor and lead junior engineers , breaking down complex problems into executable tasks.
  • Drive adoption of best practices in data engineering, scalability, and infrastructure automation.
  • Participate in an on-call rotation for production deployments and system monitoring.

Your Profile:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent work experience.
  • 2+ years of experience as a Senior Data Engineer owning large-scale data platforms.
  • Strong software development background —you’ve built, shipped, monitored, and scaled distributed applications.
  • Experience with real-time or near real-time data processing , including log/event-driven architectures.
  • Proficiency in Python or Rust for data-intensive applications.
  • Deep understanding of data modeling, partitioning, and storage optimizations for large-scale data platforms.
  • Hands-on experience with Iceberg and/or Delta Lake.
  • Experience with Kubernetes and cloud infrastructure (AWS preferred).
  • Strong Unix/Linux proficiency and familiarity with version control (Git preferred).
  • Expertise in debugging distributed systems and optimizing performance at scale.

Nice to Have:

  • Knowledge of observability tools (Grafana, Prometheus, OpenTelemetry).
  • Experience with high-scale messaging systems (Kafka, Pulsar, NATS).
  • Technical leadership experience in data pipeline architecture.
  • Experience mentoring engineers and leading large-scale projects.

Why Join?

This is your chance to own and shape the next-generation security data platform at a high-growth, Pre-IPO SaaS company. You’ll work on mission-critical systems, process massive-scale cybersecurity data , and contribute to making the Internet a safer place .

Are you ready to lead, innovate, and build at scale? Apply now and be part of something big.

Job Tags

Work experience placement,

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