Data Engineer, Staff

The user interface for universal knowledge capture. We want every atom of information that our users need to be at their fingertips.

Designed to be generally capable– it can tackle even the most complex tasks, citing answers over any amount of sources.   By showing its work, Hebbia empowers users to collaborate with AI on each step and validate responses instead of blindly trusting them.  Our mission is to put capable AI in the hands of 1 billion people by 2030.

We are seeking our first Data Engineer, someone who can refine our data infrastructure, drive best practices for building data pipelines, and collaborate closely with both engineering and business teams to ensure every data need is met. If you are a self-starter with a proven track record of architecting end-to-end data solutions, we’d love to hear from you.

Our team works in person 5 days a week at our SoHo office in NYC.

• Architect, build, and maintain ETL pipelines and workflows that ensure high data quality and reliability
• Design and manage a central data lake to consolidate data from various sources, enabling advanced analytics and reporting
• Collaborate with cross-functional stakeholders (product, engineering, and business) to identify data gaps and develop effective solutions
• Implement best practices in data security and governance to ensure compliance and trustworthiness
• Evaluate and integrate new technologies, tools, and approaches to optimize data processes and architectures
• Continuously monitor, troubleshoot, and improve data pipelines and infrastructure for performance, scalability, and cost-efficiency

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
• 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on data engineering
• Significant hands-on experience in data engineering (ETL development, data warehousing, data lake management, etc.)
• Adept at identifying and owning data projects end to end, with the ability to work independently and exercise sound judgment
• Proficient in Python and SQL; comfortable working with cloud-based data stack tools
• Familiar with big data processing frameworks (e.g., Spark, Hadoop) and data integration technologies (e.g., Airflow, DBT, or similar)
• Experience implementing data governance, security, and compliance measures
• Strong collaboration and communication skills, with the ability to translate business requirements into technical solutions
• Prior experience in a high-growth or startup environment is a plus
• You are comfortable working in-person 5 days a week

The salary range for this position is set between $190,000 and $250,000. However, adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description. 

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