Software Development Engineer II - Data

Most boards and executives are currently flying blind when it comes to cyber risk. They are guessing. At Safe, we’ve built an AI-driven engine that finally gives the C-Suite a clear, quantified, and real-time view of their security posture. We don’t just provide data; we provide certainty.

We are a $170M Series C-funded category leader. We don’t play in the mid-market; we operate at the highest levels of global enterprise. Today, we are proud to serve 10% of the Fortune 500, protecting global icons such as Apple, Netflix, AT&T, Verizon, and Victoria’s Secret.

As we scale toward our next chapter, we are looking for high-performers who want to do the best work of their careers at the intersection of AI and Cybersecurity.

The Culture Memo: Our Operating System

Safe is not a typical corporate environment. We are a high-intensity, mission-driven team. We value builders who want to define a category and work alongside people who are equally committed to excellence.

• Extreme Ownership: We don’t do "not my job." We hire people who see a gap and own the solution from start to finish.

• The Elite Standard: We serve the most sophisticated companies on the planet. Our work must be bulletproof. Whether it’s a line of code or a sales deck, we aim for Tier-1 quality every time.

• Methodology & Rigor: We don’t wing it. From Force Management and MEDDICC in sales to data-driven sprints in engineering, we rely on proven frameworks to stay disciplined and predictable.

• Radical Candor: We move too fast for politics or sugar-coating. We value direct, honest feedback that helps us find the right answer quickly.

• The Series C Hustle: We have the stability of a well-funded leader but the heart of a startup.

The Perks & Ownership:

We want our team to feel like owners because they are owners. We trust our people to manage their results and their time.

• Meaningful Equity: Every "Safestar" is a shareholder. You aren’t just an employee; you are a partner in our success.

• Unlimited Leaves: We don’t believe in clock-watching. We offer unlimited leave because we trust you to take the time you need to recharge while staying committed to the mission.

• Comprehensive Benefits: We provide top-tier medical insurance and wellness benefits to ensure you and your family are well cared for.

• Career Trajectory: We are growing aggressively. For high-performers, the path for advancement moves at the speed of your ambition.

We’re looking for a seasoned Software Development Engineer (SDE II) – Data Engineering with deep expertise in building large-scale data ingestion, processing, and analytics platforms. In this role, you’ll collaborate closely with Product, Design, and cross-functional stakeholders to design and implement high-throughput data pipelines and lakehouse solutions that power analytics, AI, and real-time decision-making for predicting and preventing cyber breaches.

What You’ll Do:

• Design and Develop: Architect and implement high-scale data pipelines leveraging Apache Spark, Flink, and Airflow to process streaming and batch data efficiently.
• Data Lakehouse and Storage Optimization: Build and maintain data lakes and ingestion frameworks using Snowflake, Apache Iceberg, and Parquet, ensuring scalability, cost efficiency, and optimal query performance.
• Data Modeling and System Design: Design robust, maintainable data models to handle structured and semi-structured datasets for analytical and operational use cases.
• Real-time and Batch Processing: Develop low-latency pipelines using Kafka and Spark Structured Streaming, supporting billions of events per day.
• Workflow Orchestration: Automate and orchestrate end-to-end ELT processes with Airflow, ensuring reliability, observability, and recovery from failures.
• Cloud Infrastructure: Build scalable, secure, and cost-effective data solutions leveraging AWS native services (S3, Lambda, ECS, etc.).
• Monitoring and Optimization: Implement strong observability, data quality checks, and performance tuning to maintain high data reliability and pipeline efficiency.

What We’re Looking For:

• Bachelor’s or Master's degree in Computer Science, Engineering, or a related field
• 3+ years of experience in data engineering with a proven track record of designing large-scale, distributed data systems.
• Strong expertise in Snowflake and other distributed analytical data stores.
• Hands-on experience with Apache Spark, Flink, Airflow, and modern data lakehouse formats (Iceberg, Parquet).
• Deep understanding of data modeling, schema design, query optimization, and partitioning strategies at scale.
• Proficiency in Python, SQL, Scala, Go/Nodejs with strong debugging and performance-tuning skills.
• Experience in streaming architectures, CDC pipelines, and data observability frameworks.
• Proficient in deploying containerized applications (Docker, Kubernetes, ECS).
• Familiarity with using AI Coding assistants like Cursor, Claude Code, or GitHub Copilot

Preferred Qualifications:

• Exposure to CI/CD pipelines, automated testing, and infrastructure-as-code for data workflows.
• Familiarity with streaming platforms (Kafka, Kinesis, Pulsar) and real-time analytics engines (Druid, Pinot, Rockset).
• Understanding of data governance, lineage tracking, and compliance requirements in a multi-tenant SaaS platform.

If you’re passionate about cyber risk, thrive in a fast-paced environment, and want to be part of a team that’s redefining security, we want to hear from you! 🚀