Data Engineer

Tavily is hiring a Data Engineer. Level rates it ; you can apply on Tavily.

Level's read on this job

Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
Level classes it as a mid-level role.
Tavily has 17 other open roles on Level.

AI in this role

About Tavily - Search API

Tavily is a cutting-edge company focused on providing a powerful and efficient Search API. We empower developers and businesses by delivering high-quality, relevant search results quickly and reliably. Join our team to help build the data infrastructure that supports and scales our core product.

The Role

We are seeking a highly motivated and experienced Data Engineer to join our growing team. You will be responsible for designing, constructing, installing, testing, and maintaining highly scalable data management systems. You will work closely with our engineering and devops teams to build and optimize the data pipelines that are crucial to the performance and accuracy of our Search API.

Responsibilities

Design, build, and maintain efficient and reliable ETL/ELT pipelines for data warehousing.
Develop and improve our data infrastructure.
Ensure data quality, integrity, and security across all data platforms.
Optimize data systems for performance and scalability.
Troubleshoot and resolve issues related to data pipelines and data infrastructure.
Collaborate with cross-functional teams to understand data needs and deliver solutions.

Minimum Qualifications

A degree in Computer Science, Statistics, Engineering, or a related quantitative field.
3+ years of professional experience as a Data Engineer or in a similar role focused on data infrastructure.
Proficiency in Python.
Solid experience with relational databases (SQL) and NoSQL databases.
Experience with AWS and their data services.
Proven experience in building and optimizing data pipelines and data architectures.

Preferred Qualifications

Experience with Mongo/Snowflake/Redis/S3 General/S3 Express.

Experience with big data technologies
Experience with Airflow.
Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
Experience working in a company focused on API services or search technology.
Knowledge of data governance and data security best practices.

How we rate this

Data Engineer at Tavily rates 9 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.