Senior Data Engineer, Analytics

Lovevery is seeking a Senior Data Engineer, Analytics based in Boise, Idaho, with remote options, to contribute as an individual contributor focusing on analytics engineering, data platform leadership, and enabling data driven decision making.

Responsibilities

• Deliver results at scale by building high impact pipelines, visualizations, dashboards, and data products that accelerate delivery and empower informed business decisions. Leverage your DBT expertise to implement meaningful changes in the data transformation layer with confidence.
• Lead with expertise as a senior technical authority in data and analytics engineering, guiding architecture discussions and implementing robust, scalable data models.
• Prioritize for performance by balancing feature delivery with simple, efficient designs; ensure pipelines are cost effective and performant.
• Build and maintain layered data by collaborating with teammates to extend a modern data warehouse and define strategic architecture to unlock insights.
• Collaborate across functions with Product Managers, Engineers, and Business Stakeholders to capture requirements and translate them into technical solutions.
• Empower business users by partnering with power users to enable data fluency and develop self-serve reporting tools that unlock value.
• Champion AI and automation by promoting AI assisted coding, documentation, and data exploration techniques to streamline development and enhance self-serve capabilities.

Requirements

• At least 5+ years implementing and scaling DBT within a team in a growth environment.
• Over 5+ years of production data modeling using cloud based data warehousing techniques on platforms such as Databricks Delta, Snowflake, Redshift, or BigQuery, designing intuitive, business friendly data models that support self-service exploration and operational reporting.
• Strong understanding of advanced SQL concepts and the performance implications behind queries.
• Familiarity with Spark or similar distributed data processing technologies.
• Track record of building data pipelines with CI/CD pipelines (e.g., GitHub Actions, CircleCI) featuring well tested workflows, proactive alerting, and strong data quality standards.
• Experience integrating AI and automation tools (for example GitHub Copilot, Natural Language Query tools) to accelerate delivery and improve code quality.
• Proficiency with data visualization platforms such as Looker, Tableau, Power BI, or similar; strong preference for Omni, with experience in building dashboards and enabling self-service for business users.
• Self service capabilities in Git and related workflows.
• Python experience is a plus.
• Experience with DAG tools such as Prefect, Dagster, or Airflow is a bonus.
• Experience with subscriptions and/or Ecommerce is a bonus.

Technologies

• DBT
• Databricks Delta
• Snowflake
• Redshift
• BigQuery
• Spark
• GitHub Actions
• CircleCI
• GitHub Copilot
• Natural Language Query tools
• Looker
• Tableau
• Power BI
• Omni
• Python
• Prefect
• Dagster
• Airflow
• Git

Benefits

• Competitive salary, benefits and stock option package
• 3 weeks PTO in year 1 plus 14 paid holidays
• Generous parental leave
• Equipment provided as needed to perform the job
• Free or discounted Lovevery products
• Remote working option available anywhere in the United States

About Lovevery

Lovevery is a fast growing digitally native brand headquartered in Boise, Idaho, founded by successful serial entrepreneurs. Our customers are parents, and our mission is to help them feel confident that they are providing meaningful development experiences for their children in the critical early years of life. Employing a science based approach, Lovevery was named one of Fast Company’s 2024 most innovative companies and has earned awards from TIME, Red Dot, Good Housekeeping and Forbes.

About the Role

The Senior Data Engineer, Analytics plays a pivotal role in shaping our data strategy and enabling data excellence across the business. This high impact individual contributor role shares ownership of analytics engineering and offers opportunities to expand responsibility across the data stack. The role is ideal for someone who delivers high quality code that solves complex problems, is passionate about the role of data in organizations, and embraces AI driven solutions to improve velocity and results. You will join a team focused on refining our transformation and visualization layers and will lead efforts on the data platform from day one, helping to set the direction for how data empowers decision makers.

About You

• Strategic individual contributor: You are a hands on developer with a clear vision, preferring ownership over oversight and energized by building, optimizing, and scaling analytics capabilities.
• Domain fluent: You dive into the business context, understanding key metrics, their evolution, and how to equip others with data that drives action.
• Trusted communicator: You translate complex requirements into elegant data products for both technical and non technical audiences.
• Results driven: You consistently deliver clean, actionable data models and tools that enable informed decisions; you address loose ends, unused dashboards, and messy schemas with resolve.
• AI forward thinker: You actively seek ways to leverage generative AI and machine learning in data transformation, documentation, and user facing tooling to generate better business outcomes.