Senior Analytics Engineer

Steno

5h • $160,000 - $200,000 • Remote

About The Position

We're looking for a self-starter who is effective in managing their time in remote working environments. If you love solving data problems and collaborating with others to turn raw data into actionable insights then this role is for you!

This is a fast-paced environment, but an amazing opportunity for someone who wants to join a growing tech team at a mid-stage start-up and have a direct impact on building and enhancing our data infrastructure!

If you’re looking for a company that offers support, guidance, an abundance of killer giphys, and unlimited potential to grow into your best self, you can bet we’d love to have you too.

Requirements

• You have advanced experience with dbt Core, git, Snowflake, and other common tools found within the modern data stack, including complex macros, packages, and CI/CD pipelines
• You have 5+ years of experience with writing SQL queries in an analytical environment
• At least 4-7 years of analytics engineering or data engineering experience
• You have experience creating data models adhering to data warehouse design patterns and dimensional modeling
• You have a demonstrated track record of delivering well-engineered data solutions with modern technologies
• You are effective at communicating with both technical and non-technical stakeholders

Nice To Haves

• Bonus points if you have worked in one or more early-stage startups!

Responsibilities

• Take ownership of Steno’s analytics data model, which includes
• Designing and building dbt data models that serve both traditional batch and real-time analytics needs
• Implementing dbt tests to ensure high data quality throughout our data models
• Creating custom ingestion pipelines for nonstandard data sources leveraging external APIs
• Collaborate with Data Analysts and business stakeholders to understand data requirements across business units
• Assist Data Analysts and business stakeholders in learning how to properly use the data models you create
• Build and refine data engineering processes and best practices based on project experiences
• Optimize Snowflake queries and warehouse performance for cost efficiency
• Stay informed about the latest trends within the modern data space and explore ways to leverage those trends to continuously improve our data stack
• Serve as a mentor to other Analytics Engineers and Data Analysts
• Establish and document data/analytics engineering standards and best practices across the organization

Benefits

• Health, Vision, & Dental Benefits - low-cost health plans that free up mind space and unlock our employees' best work
• Wellness/Mental Health - shared benefits to be used among employees and families
• Flexible Paid Time Off - allowing employees to find balance in their lives
• Options of Equity - we know our success is nothing without our team
• Access to a company-provided 401(k) account
• A home office setup and a monthly stipend to offset internet and phone costs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 251-500 employees