Data Pipeline Engineer
Join a small team to design and build a scalable data lakehouse architecture for cybersecurity products.
Posted by employer 7 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
Not disclosed in this posting: years of experience, work arrangement, visa sponsorship.
Benefits
Joblaze summary
The Data Pipeline Engineer at Cylake is tasked with designing and maintaining a robust data lakehouse architecture that can handle extensive analytics workloads. This role requires expertise in both batch and real-time processing, along with proficiency in open-source technologies like Apache Iceberg and Kafka. Ideal candidates will have a strong background in building large-scale data systems and excellent programming skills in Python. Cylake offers a unique opportunity to contribute to innovative cybersecurity products within a small, experienced team.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Cylake's careers page October 29, 2026.
- Salary band is below the typical range for Data Engineering roles (median ~$180,656).
- Starts above 67% of 36 comparable mid data engineering roles that list Python we track (median $125,000 across 20 companies). See Python salary trends
- Python appears in 69.8% of 129 comparable mid data engineering roles; Kafka appears in 3.1% of 129 comparable mid data engineering roles.
Quick facts
- What's the salary range?
- Cylake lists $150,000–$250,000 for this role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Apache Iceberg, Apache Kafka, Apache Parquet, Flink, Neo4j, PostgreSQL.
- What seniority level is this role?
- Cylake targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Data Pipeline Engineer role at Cylake.
From the original posting
Your Impact
Join a small team building the next generation of cybersecurity products from the ground up. Led by industry veterans with a proven track record of success - you will get to architect, build, and deliver hugely impactful products with this world-class team. You will have the opportunity to grow your career and skills along with the company from the very start.
Role Overview
Design, build, and maintain a scalable, open-source data lakehouse architecture supporting petabyte-scale analytics workloads. Responsible for architecting end-to-end data pipelines from ingestion through transformation to consumption, ensuring high performance, reliability, and data quality.
Required Experience
A proven track record of success architecting, building, and running large-scale data systems (PB scale)
Experience with both batch and real-time processing architectures
Experience with open source Data Lakehouse components, including Apache Iceberg, PostgreSQL, Neo4j, Apache Parquet, etc.
Experience with tools for stream processing and data analytics - Apache Kafka, Spark, Flink, etc.
Understanding and experience with data transformation solutions
Excellent programming experience with Python
Strong communication and documentation skills
Experience with CSP data platforms is a plus
Understanding of data lineage, quality, and governance tooling is a plus
Standard company text repeated across Cylake's postings is omitted here.