Senior Analytics Engineer

Varos Research; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Varos Research, located in San Francisco, is seeking a data guru to build product features and analyze massive datasets. This is an exciting opportunity to join one of the first 10 employees in a fast-growing startup that has recently secured funding from top Silicon Valley VCs. Candidates should have a strong background in analytics, with proficiency in SQL, Python, and tools like DBT, as well as a commitment to using engineering best practices. Ideal for someone with startup mentality and driven approach.

Qualifications

• 6+ years of analytics engineering, data engineering, data science, or other highly analytical roles.
• Excellent communication skills and ability to work with teams.
• Advanced proficiency in SQL databases and queries.
• Working knowledge of Python and cloud-based data platforms.
• Experience building pipelines for Machine Learning or LLM models.

Skills

Analytics engineering

Data engineering

Data science

SQL proficiency

Communication skills

Python

DBT

Machine Learning

LLM ops techniques

Tools

Snowflake

Amazon Athena

Job description

We're looking for a data guru to build product features and run analyses on top of our massive data set (7,000+ companies first-party data co-op + large public database).

Opportunity to be first 10 employee in a very fast-growing startup that just raised from on of the best VCs in Silicon Valley.

You'll be working lots in SQL, DBT and Python + leveraging LLMs for data enrichment & tagging.

Requirements

• 6+ years of analytics engineering, data engineering, data science, or other highly analytical, data-oriented roles.
• Excellent communication skills and ability to work with technical and non-technical partners from many teams, especially in exploring decisions and trade-offs
• Advanced proficiency in SQL databases and queries, as well as experience designing data models using dbt
• Working knowledge of Python and cloud-based data warehouse platforms (Snowflake and Athena in particular)
• Commitment to applying software engineering best practices in an analytics setting
• Experience building pipelines for Machine Learning or LLM models and ensuring their reliability using ML/LLM ops techniques
• Startup mentality, solution driven, can do approach