About Pinecone

Pinecone is committed to developing search and database technology that will power AI applications for the upcoming decade and future. Our fully serviced vector database simplifies the process of integrating vector search into AI applications. Ever since we introduced the concept of a "vector database," we have witnessed a substantial increase in demand and our user base reflects this.

We are an international team with presences in New York, San Francisco, Tel-Aviv, and Manchester.

About The Role 

Pinecone is in search of an accomplished and highly driven Senior Data Engineer to establish our data practices across GTM and Finance departments. As a Senior Data Engineer, your role will involve cooperating with cross-functional teams to formulate and deliver board reports and operational data that provide significant insights, guiding business decisions and strategies.

Working in a dynamic and stimulating environment, you'll be expected to consistently produce high-quality work with little supervision. Similar to everyone in our organization, you'll need to be an excellent all-rounder, working closely with executive leadership, and mentoring new data engineers and scientists.

Responsibilities

Optimize Data Delivery and Scalability

You will refine and augment data delivery pipelines to bolster efficiency and scalability, ensuring uninterrupted access to data for different teams in the company.

Enable Insights and Reporting

Partner with cross-functional teams to devise and present board reports and operational data that yield meaningful insights, guiding business decisions and policies.

Boost Operational Efficiency

You'll introduce measures to enhance the productivity and efficiency of data engineering operations, facilitating more streamlined data processing and analysis.

What we look for:

• An enthusiasm for technology 

• A minimum of 5 years' experience with SQL and Python

• At least 5 years' in the Data Engineering/Science sector

• A degree in Computer Science, Math, a related technical field, or equivalent experience

• Strong understanding of databases, warehousing, data infrastructure, ELT/

• Prior experience of collaborating cross-functionally to base business strategy and process on data

Bonus Points:

• Experience with orchestration platforms 

• Experience with metric and feature stores

• Familiarity with cloud-based data warehouse solutions (BigQuery, Snowflake)

• Knowledge and experience in the GTM and Finance space for B2B products