Nightfall AI ( is the unified platform that prevents data leaks and enables secure collaboration by protecting sensitive data and controlling how it's shared. For decades, legacy data leak prevention (DLP) solutions have failed to adequately protect sensitive information. Traditional DLP is outdated, intrusive, and complex - it wasn't designed for today's modern enterprise where users continuously share data across interconnected SaaS applications, endpoints, and now generative AI. Nightfall AI is the first AI-native DLP solution. We leverage AI to achieve twice the accuracy with a fraction of the false positives that overwhelm security teams. Nightfall does this without disrupting modern work patterns. Our AI-native platform spans sensitive data protection across SaaS, email, data exfiltration prevention on SaaS, endpoints, and data encryption. Nightfall's Developer Platform provides an open, flexible environment for developers to integrate our data classification and protection capabilities anywhere, including establishing trust boundaries for AI model building and consumption.

We’re looking for a Senior Data Engineer to enhance Nightfall’s core data models and infrastructure supporting our real-time and data annotation pipelines, analytics warehouse, MLOps, real-time monitoring, and business intelligence reporting. 
At Nightfall, we use ML/NLP to detect and protect sensitive personal, health, financial, and credential information in real time. You will contribute directly to the core product. Working with Engineers, Data Scientists, and Data Analysts, you will ensure high technical standards for data management and drive Nightfall’s short and long-term data strategies.

This is a hybrid role based out of our San Francisco office.


  • Design, build, and own the core data models and infrastructure to manage data across Nightfall’s analytics stack - AWS, Kafka, Glue, S3, Snowflake, Cassandra, Cockroach DB, Tableau, and Datadog.
  • Collaborate closely with Data Analysts to unlock the data needed to power dashboards, ad-hoc analyses, monitoring, and high-quality decision-making across the company.
  • Collaborate closely with ML Engineering and Data Science to scale our data pipelines for machine learning, analytics, and data annotation.
  • Design and implement a data quality monitoring system with source-to-target data validations and anomaly detection.
  • Collaborate with Security and Engineering to meet data governance requirements.


  • SQL Expert. Solid experience in Python or similar. 
  • Experience (5+ years) with analytical data warehouses/lakes. AWS/Snowflake preferred.
  • Experience (5+ years) developing data pipelines supporting ML/NLP projects. Experience with popular MLOps and data annotation platforms is a plus.
  • Experience (5+ years) analyzing complex datasets using SQL, optimizing queries, working with Data Analysts to automate dashboards (Tableau preferred), and performing ad-hoc analyses that lead to actionable business insights.
  • Bachelor's degree in Computer Science or related field. MS/PhD a plus.
  • Experience with source code repositories and cloud monitoring tools (Datadog preferred).
  • Possess excellent communication skills, strong analytical skills, and the ability to work independently and as part of a team.
  • The ability to thrive in a dynamic environment, being flexible and willing to jump in and do whatever it takes to be successful.

About Nightfall:

Nightfall is a cybersecurity startup dedicated to helping organizations secure and manage their sensitive data. As a leading enterprise technology company, our product affects the personal data that people entrust businesses to store & process with care every day. Critical data in modern organizations is often sprayed across a broad set of cloud data silos, and it’s a herculean task for security & compliance teams to monitor, manage, and protect this highly sensitive data. Via machine learning, our product makes it easy for organizations to discover, classify, and protect this sensitive data across their cloud footprint - such as their corporate SaaS, data infrastructure, and even their own apps. In doing so, we prevent data leakage, provide unprecedented data visibility & protection across the cloud, and enable compliance. We’re a technology startup founded in San Francisco, well-funded by leading institutional investors like Bain and Venrock, and a cadre of security & IT leaders from Okta, Salesforce, Atlassian, Splunk, FireEye, and more. Learn more on our website or by reaching out via email at

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