Senior Data Engineer, Nightfall AI
Cloud-native data protection platform
Open for applications
Cloud-native data protection platform
101-200 employees
Open for applications
101-200 employees
Company mission
To empower enterprises big and small to navigate the digital world with confidence, while ensuring the security and privacy of their sensitive data.
Role
Who you are
- SQL Expert. Solid experience in Python or similar
- Experience (3+ years) with analytical data warehouses/lakes. AWS/Snowflake preferred
- Experience (3+ years) developing data pipelines supporting ML/NLP projects. Experience with popular MLOps and data annotation platforms is a plus
- Experience (3+ 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
What the job involves
- 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
Our take
Nightfall AI is tackling security challenges posed by the adoption of generative AI and technologies like GPT-4o. Businesses adopting these powerful AI models face extended concerns over sensitive data exposure, prompt injection attacks and model abuse.
Nightfall AI's firewall for I is a robust client wrapper safeguarding GENAI applications and data pipeline. it ensures security by proactively scanning and removing sensitive information like PII, PCI, PHI, and proprietary secrets. Additionally, it defends against prompt injection attacks, ensuring data integrity across diverse AI inputs.
With its AI-native detection engine and advanced DLP models, Nightfall proactively addresses future challenges in evolving AI technologies. By integrating into workflows, Nightfall enables organisations to deploy GenAI applications securely, ensuring compliance and driving innovation for enhanced customer experiences.
Freddie
Company Specialist
Insights
Company
Funding (2 rounds)
Aug 2022
$40m
SERIES B
Nov 2019
$20.3m
SERIES A
Total funding: $60.3m
Company HQ
Financial District, San Francisco, CA
Articles
Leadership
Isaac Madan
(CEO)Having studied at Stanford, Isaac co-founded Chalky in 2013 before working as a Correlation Ventures Tech Advisor and Analyst for Pejman Mar. They spent 2 years as a Venrock Investor before co-founding Nightfall AI in March 2018.
Rohan Sathe
(CTO)Rohan started their career as a Voxer Software Engineer before being a Founding Engineer of UberEats, where they worked until 2017. In March 2018, they co-founded Nightfall AI with Isaac, serving as CTO.
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