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Data Pipeline Engineer

Sunnyvale, California, United States

Pay
$150,000–250,000/year — pay source
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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Work setup
Unconfirmed
Employment
Unconfirmed
Apply at Cylake-Inc

What you’ll work on

Full posting

Design, build, and maintain a scalable, open-source data lakehouse architecture supporting petabyte-scale analytics workloads.

What you’ll bring

All qualifications

Core experience

  • Experience with both batch and real-time processing architectures
  • Strong communication and documentation skills
  • 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

Preferred experience

  • Experience with CSP data platforms is a plus
  • Understanding of data lineage, quality, and governance tooling is a plus
Qualification wording
Experience with both batch and real-time processing architectures
Strong communication and documentation skills
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
Experience with CSP data platforms is a plus
Understanding of data lineage, quality, and governance tooling is a plus

Tools in this posting

  • Iceberg
  • Kafka
  • Neo4j
  • PostgreSQL
  • Spark
  • Python
Source — Tool mentions in context
- 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.
- 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
- Understanding and experience with data transformation solutions - Excellent programming experience with Python - Strong communication and documentation skills

Job description

View 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.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

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Source & posting history

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Pay
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.
Location & working pattern

Sunnyvale, California, United States

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Status in our records
Active
First seen by us
Aug 12, 2026
Recorded sightings
52
Last seen by us
Oct 8, 2026
Employer says posted
Mar 5, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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