Software Development Engineer II - Data

Responsibilities

• Architect and implement high-scale data pipelines leveraging Apache Spark, Flink, and Airflow to process streaming and batch data.
• Build and maintain data lakes and ingestion frameworks using Snowflake, Apache Iceberg, and Parquet to ensure scalability and cost efficiency.
• Design robust, maintainable data models to handle structured and semi-structured datasets for analytical and operational use cases.
• Develop low-latency pipelines using Kafka and Spark Structured Streaming to support billions of events per day.
• Automate and orchestrate end-to-end ELT processes with Airflow, ensuring reliability and observability.
• Build scalable, secure, and cost-effective data solutions leveraging AWS native services such as S3, Lambda, and ECS.
• Implement strong observability, data quality checks, and performance tuning to maintain high data reliability.

Requirements

• 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 like Iceberg or Parquet.
• Proficiency in Python, SQL, Scala, or Go/Nodejs with strong debugging and performance-tuning skills.
• Experience deploying containerized applications using Docker and Kubernetes.
• Experience with streaming architectures, CDC pipelines, and data observability frameworks.

Preferred Qualifications

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

Benefits

• Meaningful equity as a shareholder in a $170M Series C-funded company.
• Unlimited leave policy based on trust and commitment to the mission.
• Comprehensive medical insurance and wellness benefits.
• Rapid career trajectory for high-performers in a growing organization.

About the Company

Safe Security is a category leader in AI-driven cyber risk management. We provide the C-Suite with a clear, quantified, and real-time view of their security posture, serving 10% of the Fortune 500, including companies like Apple, Netflix, and Verizon.