Data and Analytics Engineer at Hebbia

New York, New York, United States

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$60,000 – $90,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

InternshipJob Type

UnknownVisa

Data Science, Software Development, Data EngineeringIndustries

Skills

Key technologies and capabilities for this role

PythonSQLETLData WarehousingData Lake ManagementSparkHadoopAirflowDBTData GovernanceData SecurityCloud-based Data Stack

Questions & Answers

Common questions about this position

What is the salary range for this Data and Analytics Engineer position?

The salary range is $180,000 - $230,000, though adjustments outside this range may be considered based on qualifications.

Is this role remote or onsite, and where is the office located?

This is an onsite full-time role requiring in-person work 5 days a week at the SoHo office in NYC.

What technical skills are required for this position?

Candidates need proficiency in Python and SQL, experience with cloud-based data stack tools, and familiarity with big data frameworks like Spark or Hadoop and tools like Airflow or DBT.

What experience level is required for this Data and Analytics Engineer role?

A Bachelor’s or Master’s in Computer Science, Data Science, or related field is required, along with 5+ years of software development experience at a venture-backed startup or top tech firm, focused on data engineering.

What makes a strong candidate for this role at Hebbia?

Strong candidates have 5+ years in data engineering at startups or top tech firms, hands-on ETL and data lake experience, plus prior work in high-growth environments; they can own projects independently and collaborate across teams.

Hebbia

AI-powered browser extension for efficient information retrieval

About Hebbia

Hebbia.ai offers an AI-powered browser extension that enhances the traditional search function by understanding the context of user queries. This tool quickly highlights the most relevant information in lengthy documents, making it easier for users to find what they need. It is particularly useful for professionals such as researchers, financial analysts, legal experts, and software engineers who often work with extensive documentation. Unlike standard search tools, Hebbia's extension provides a more efficient way to sift through large amounts of text, improving information retrieval speed significantly. The company is currently in private beta, allowing early users to test the product, with plans to monetize through subscription fees or licensing agreements in the future. Hebbia aims to optimize workflows for its users by providing a solution that is 20 times faster than traditional methods.

New York City, New YorkHeadquarters

2020Year Founded

$155.3MTotal Funding

SERIES_BCompany Stage

Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Risks

High development costs could strain Hebbia's financial resources as it scales operations.

Increased competition from established AI players may overshadow Hebbia's offerings.

Shifting focus to the legal sector may pose challenges in product adaptation.

Differentiation

Hebbia offers AI search with transparent processes, unlike black-box competitors.

The platform enhances traditional search with AI, improving document comprehension significantly.

Hebbia's AI tool is tailored for professionals in finance, law, and pharma sectors.

Upsides

Hebbia raised $130M, indicating strong investor confidence in its AI search platform.

The legal sector expansion offers new market opportunities for Hebbia's AI solutions.

Partnerships with financial firms validate Hebbia's market fit in AI-driven document search.

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