Data Engineer 5 - Privacy
Netflix - USA - Remote
Posted Oct 24, 2025
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
- Not verified
- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Data Engineer 5 - Privacy USA - Remote At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. We are in the midst of major transformative developments for the Netflix product with the launch of an Advertising supported plan, Games and Live content. These new products, alongside our streaming service, have resulted in significant increases in the complexity and breadth of our internal data ecosystem. We manage one of the largest paid subscription businesses and are committed to handling our members' data with a high degree of care towards appropriate use as well as compliance with local privacy laws and regulations in the 190+ countries where we operate. The Privacy and Legal Data Engineering pod builds scalable data management and extraction frameworks which are at the core of our ability to hold ourselves to the highest data privacy and hygiene standards in the industry. We are looking for a Data Engineer to help augment our ability to build these robust, scalable privacy centric data frameworks. As part of this team, you will work on diverse data technologies such as Spark, Presto, Flink, Kafka and others to build insightful, scalable and robust data pipelines; write ETL jobs to collect and aggregate data;
Read the full description at explore.jobs.netflix.net. FewerJobs shows a source-linked preview and links to the original posting.
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