Senior Data Engineer, Analytics

Senior Data Engineer, Analytics

Lovevery is a rapidly growing, digitally native brand committed to helping parents feel confident in providing meaningful developmental experiences for their children in the crucial early years. Recognized by Fast Company, TIME, and others for innovation, we are seeking a Senior Data Engineer to play a pivotal role in our data strategy.

About the Role

This high-impact individual contributor role involves shared ownership of analytics engineering and offers the opportunity to expand your influence across the entire data stack. You will join a team focused on enhancing our transformation and visualization layers, leading efforts on the data platform, and defining its future direction to empower decision-makers.

About You

• Strategic Individual Contributor: A hands-on developer with a clear vision, energized by building, optimizing, and scaling analytics capabilities.
• Domain Fluent: Deeply understands business context, key metrics, and how to equip others with actionable data.
• Trusted Communicator: Skilled at translating complex requirements into elegant data products for both technical and non-technical audiences.
• Results-Driven: Consistently delivers clean, actionable data models and tools that enable informed decisions.
• AI-Forward Thinker: Actively seeks opportunities to leverage generative AI and machine learning to enhance data transformation, documentation, and user-facing tools.

Responsibilities

• Deliver Results at Scale: Create high-impact code for pipelines, visualizations, and dashboards using DBT to drive faster development and confident decision-making.
• Lead with Expertise: Act as a senior technical expert, guiding architecture discussions and implementing robust, scalable data models.
• Prioritize for Performance: Balance feature delivery with simple, performant, and cost-effective pipeline design.
• Build and Maintain Layered Data: Collaborate to build a modern data warehouse, helping define its strategic architecture.
• Cross-Functional Collaboration: Work with Product Managers, Engineers, and Business Stakeholders to translate requirements into technical solutions.
• Empower Business Users: Partner with power users to foster data fluency and enable self-service reporting.
• Champion AI & Automation: Drive the adoption of AI-assisted coding, documentation, and data exploration to streamline development and enhance self-serve capabilities.

Qualifications

• 5+ years of experience implementing and scaling DBT.
• 5+ years of experience in production data modeling on cloud platforms (e.g., Databricks Delta, Snowflake, Redshift, BigQuery).
• Strong understanding of advanced SQL and its performance implications.
• Familiarity with Spark or similar distributed data processing technologies.
• Track record of building CI/CD data pipelines (e.g., GitHub Actions, CircleCI) with strong testing and data quality standards.
• Familiarity with integrating AI and automation tools (e.g., GitHub Copilot).
• Skilled in data visualization platforms (e.g., Looker, Tableau, Power BI), with a preference for Omni.
• Self-service capabilities in Git.
• Python experience is a bonus.
• Experience with Prefect, Dagster, Airflow, or other DAG tools is a bonus.
• Experience with subscriptions and/or e-commerce is a bonus.

Benefits & Perks

• Competitive salary, benefits, and stock option package.
• 3 weeks PTO in year 1 + 14 paid holidays.
• Generous parental leave.
• All necessary equipment provided.
• Free/discounted Lovevery products.
• Remote working option anywhere in the US.