Senior Data Engineer, Analytics

Lovevery•Boise, ID

4d•Remote

About The Position

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. This role is ideal for someone who constantly strives to deliver high quality code which solves complex problems, has passion about the role of data in organizations, and embraces AI-driven solutions to improve velocity and results. 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.
Design intuitive, business-friendly data models that support self-service exploration and operational reporting while adhering to conventional concepts.
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.

Nice To Haves

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.

Responsibilities

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.
Operate as a senior technical expert in the data and analytics engineering space, leading architecture discussions and implementation of robust, scalable data models.
Balance feature delivery with a simple, performant design.
Work to ensure pipelines are cost effective and run at a high level of performance.
Collaborate with other technical contributors to build out our modern data warehouse capable of unlocking insights through strategic architecture (that you’ll help define).
Work closely with Product Managers, Engineers, and Business Stakeholders to capture requirements and translate them into technical solutions.
Partner with power users to enable data fluency and help teams build and explore reporting tools that unlock value.
Drive adoption of AI-assisted coding, documentation, and data exploration techniques to streamline development and enhance self-serve capabilities for business users.