Data Engineer, Hebbia

$190-250k

+ New hire equity grant, with unmatched upside potential

SQL

Python

Airflow

Hadoop

Spark

dbt

Senior and Expert level

New York

San Francisco Bay Area

5 days a week in office (SoHo, NY)

The leading AI platform for finance

Open for applications

Meet the team

The leading AI platform for finance

101-200 employees

FintechB2BArtificial IntelligenceEnterpriseProductivityMachine LearningSaaS

Open for applications

Meet the team

$190-250k

+ New hire equity grant, with unmatched upside potential

SQL

Python

Airflow

Hadoop

Spark

dbt

Senior and Expert level

New York

San Francisco Bay Area

5 days a week in office (SoHo, NY)

101-200 employees

FintechB2BArtificial IntelligenceEnterpriseProductivityMachine LearningSaaS

Company mission

To put capable AI in the hands of 1 billion people by 2030.

Job

Company

Role

Who you are

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
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

What the job involves

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
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

Our take

Hebbia is the AI platform for finance, used by the world's leading asset managers, investment banks, law firms and Fortune 500 companies.

The product orchestrates "AI agents" that accurately tackle the most complex tasks by breaking them down into understandable actions. Users can collaborate with AI to extract, structure, and analyze millions of documents at scale, allowing for full workflow autonomation's with generative AI.

They have raised $160M in funding from a16z, Peter Thiel, Index Ventures, Google Ventures, and others.

Steph

Company Specialist at Welcome to the Jungle

Meet the team

15 people

Meet Barry, GTM

Our mission

Partner with leading financial institutions to turn complex workflows into AI solutions and make Hebbia indispensable to their success.

Insights

Top investors

25% female employees

Glassdoor (4.5)

Company

Funding (last 2 of 3 rounds)

Jul 2024

$130m

SERIES B

Jul 2022

$28.6m

EARLY VC

Total funding: $159.7m

Company benefits

Comprehensive health, dental and vision coverage
401k
Daily catered lunch
Unlimited PTO
Fertility benefits
Paid parental leave

Company values

Cogency
Compassion
Running Hard
Readiness

Company HQ

SoHo, New York, NY

Articles

Can Hebbia build a better Google? This ‘neural search engine’ wants to reinvent the algorithm

The Wunderkind Who Won Over NASA, Stanford and Peter Thiel

Anthropic’s Claude AI now autonomously interacts with external data and tools

How Hebbia Solved RAG

George's Interview on 20VC

Why a16z Invested in Hebbia

Hebbia Raises $130M Series B - a16z, Google Ventures, and more

Hebbia Overview Brochure

Leadership

George Sivulka

(CEO)

Danny Wheller

(VP Business & Strategy)

Tom Reeson Price

(VP Sales)

Jennifer Chittim

(Head of Customer Success)

Rob Day

(Head of Engineering)

Tom Navin

(Head of People)

Jillian Liu

(Head of Revenue Operations)

Arjun Mahesh

(Head of Design)

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