Analytics Engineer

Role Overview

• Develop and optimize complex batch and near-real-time SQL queries to meet product requirements and business needs.
• Architect, implement, deploy, and maintain data-driven solutions in Snowflake and Databricks.
• Develop and manage data pipeline supporting multiple reports, tools, and applications.
• Conduct advanced statistical analysis to yield actionable insights, identify correlations/trends, measure performance, and visualize disparate sources of data.
• Lead and engage in requirement planning, trainings, and presentations with technical and non-technical teams.

Requirements

• Typically requires a University Degree or equivalent experience and minimum 5 years prior relevant experience, or an Advanced Degree in a related field and minimum 3 years of experience.
• Strong experience with Snowflake and relational SQL database design, implementation, and optimization.
• Hands‑on experience with data cleansing, curation, manipulation, mining, and analysis across disparate systems.
• Practical experience with Git-based configuration control and CI/CD pipelines (GitHub Actions, Jenkins, etc.).

Tech Stack

• Jenkins
• SQL

Benefits

• medical
• dental
• vision
• life insurance
• short-term disability
• long-term disability
• 401(k) match
• flexible spending accounts
• flexible work schedules
• employee assistance program
• Employee Scholar Program
• parental leave
• paid time off
• holidays