Senior Data Engineer, Analytics

Role Overview

We are seeking a Senior Data Engineer, Analytics to play a pivotal role in shaping our data strategy and enabling data excellence across the business. This is a high-impact individual contributor role, with shared ownership and responsibility of analytics engineering and opportunity to increase skillset and ownership to all parts of the data stack.

What You Will Do

Deliver high impact code to create pipelines, visualizations, dashboards, and solutions that enable us to develop faster and the business to make informed decisions confidently. Leverage your DBT expertise to make resounding changes to our data transformation layer with confidence.

Why It Might Be a Fit

You’ll be joining a team with a strong desire to improve our transformation and visualization layers. From day one, you’ll have the opportunity to lead efforts on the data platform and help set the direction for how our data platform empowers decision-makers.

Requirements

• 5+ years of experience implementing and scaling DBT in a team setting and growth environment.
• 5+ years experience production data modeling utilizing key data warehousing techniques on cloud infrastructure such as Databricks Delta, Snowflake, Redshift, BigQuery or other cloud-based platform.
• Very strong understanding of advanced concepts in SQL including under-the-hood performance implications.
• Familiarity with Spark or similar distributed data processing technologies.
• A track record of building data pipelines on CI/CD such as Github Actions or CircleCI with well-tested pipelines, proactive alerting, and strong data quality standards.
• Familiarity with integrating AI and automation tools (e.g., GitHub Copilot, Natural Language Query tools) to enable you to move faster and deliver higher quality code.
• Skilled in data visualization platforms such as Looker, Tableau, Power BI, or similar tools, with a strong preference for Omni — experienced in both building dashboards and enabling business users to self-serve effectively.
• Self service capabilities in git.
• Experience in Python is a bonus.
• Experience with Prefect, Dagster, Airflow or other DAG tools is a bonus.
• Experience with subscriptions and/or Ecommerce is a bonus.

Benefits

• Competitive salary
• Benefits
• Stock option package
• 3 weeks PTO in year 1
• 14 paid holidays
• Generous parental leave
• Any equipment you need to get the job done
• Free/discounted Lovevery products
• Remote working option available anywhere in the US