Senior Data Engineer, Analytics

Summary

Join Lovevery as a Senior Data Engineer, Analytics to contribute to the company's data strategy and foster data excellence. This high-impact role involves building, optimizing, and scaling analytics capabilities, leveraging DBT expertise, and leading architecture discussions. You will collaborate with cross-functional teams to translate requirements into technical solutions, empower business users with data fluency, and champion AI-driven solutions. The ideal candidate is a hands-on developer with a strategic vision, strong communication skills, and a results-oriented approach. This role offers the opportunity to shape the data platform and significantly impact decision-making within the organization. Lovevery is a fast-growing, award-winning company with a mission to support parents in providing meaningful development experiences for their children.

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
• You 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 visualization platforms such as Looker, Tableau, PowerBI, or similar—both in building dashboards and enabling business users to self-serve effectively
• Self service capabilities in git

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
• You will 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

Preferred Qualifications

• 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 and 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