cylake-inc

Data Pipeline Engineer

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Older posting · still listed ·

  • onsite
  • FullTime
  • R&D
  • Sunnyvale
Work arrangement
onsite
Employment
FullTime
Stated compensation
Not specified
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Requirements

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Remote policy
onsite
“Provider workplace type: onsite”
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Employment type
FullTime
9 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
Not mentioned
Minimum experience (years)
Not specified
Work authorization
Not specified
Compensation
Not specified

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READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

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Your ImpactJoin 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 OverviewDesign, 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 ExperienceA proven track record of success architecting, building, and running large-scale data systems (PB scale)
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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.
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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.

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