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.
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDesign, build, and maintain a scalable, open-source data lakehouse architecture supporting petabyte-scale analytics workloads.
What you’ll bring
All qualificationsCore 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
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 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)
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
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- 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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