Data Pipeline Engineer
Join a small team to design and build a scalable data lakehouse architecture for cybersecurity products.
Posted by employer 6 months ago
First seen on Joblaze 1 week 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 9 days ago on Joblaze — tracked directly from Cylake's career page.
- Cylake has 14 other open roles including Technical Marketing Engineer, Security Research Intern (2027 Masters/PhD), Quality Engineer Architect.
- 6517 active Python roles on Joblaze right now.
- 1357 active PostgreSQL roles on Joblaze right now.
- 374 active Spark roles on Joblaze right now.
- Salary band is below the typical range for Data Engineering roles (median ~$180,656).
- Pays more than 42% of the 3224 salaried Python roles we track (median $160,000). See Python salary trends
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
We offer competitive compensation and a comprehensive benefits package designed to support our employees’ health, well-being, and long-term success. The expected salary range for this position is $150,000 – $250,000 per year. Within this range, individual pay is determined based on job-related factors including skills, experience, qualifications, and internal equity. Most candidates can expect an offer within the range listed above. Your recruiter will provide additional details on compensation and benefits to qualified candidates during the hiring process.
We’re committed to building a diverse, inclusive workplace where everyone can do their best work. We are proud to be an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. If you require a reasonable accommodation during the application or interview process, please let us know — we’re happy to support you.