Data Engineer - GTM&Finance

About Pinecone

Pinecone is on a mission to build the search and database technology to power AI applications for the next decade and beyond. Our fully managed vector database makes it easy to add vector search to AI applications. Since creating the “vector database” category, demand has grown incredibly fast and it shows in our user base.

We are a distributed team with clusters in New York, San Francisco, Tel-Aviv, and Manchester.

About The Role

Pinecone is seeking a skilled and highly motivated Senior Data Engineer to lay the foundation of our data practice across GTM and Finance organizations. As a Senior Data Engineer, you will collaborate with cross-functional teams to develop and deliver board reports and operational data that provide meaningful insights to guide business decisions and strategies.

You will work in a fast-paced and rewarding environment that demands the highest quality work with minimal supervision. And as we all do a little bit of everything, you will also be a strong generalist, work directly with executive leadership, and mentor new data engineers and scientists.

Responsibilities

1. Optimize Data Delivery and Scalability: Streamline and enhance data delivery pipelines to improve efficiency and scalability, ensuring seamless access to data for various teams within the organization.
2. Enable Insights and Reporting: Collaborate with cross-functional teams to develop and deliver board reports and operational data that provide meaningful insights to guide business decisions and strategies.
3. Enhance Operational Efficiency: Implement measures to improve the efficiency and effectiveness of data engineering operations, enabling smoother data processing and analysis.

1. A passion for technology
2. 5+ years of experience with SQL and Python
3. 5+ years of experience in the Data Eng/Science space
4. BS in Computer Science, Math, a related technical field or equivalent experience
5. Strong foundations in databases, warehousing, data infrastructure, ELT/ETL
6. Experience working cross functionally to ground business strategy and process in data

1. Experience with orchestration platforms
2. Experience with metric and features stores
3. Expertise working with cloud-based data warehouse solutions (BigQuery, Snowflake)
4. Knowledge and experience in the GTM and Finance space for B2B products