Lovevery, a Boise, Idaho based and rapidly growing digitally native brand, values science-based early development and meaningful parental support. The Senior Data Engineer, Analytics role is an individual contributor position dedicated to analytics engineering, guiding data platform initiatives, and enabling data-driven decision making across the business, with a remote work option.
Responsibilities
- Deliver Results at Scale: Produce high impact code to build pipelines, visualizations, dashboards, and solutions that accelerate development and empower confident, data-informed decisions. Leverage your DBT expertise to implement transformative changes to the data transformation layer with confidence.
- Lead with Expertise: Serve as a senior technical expert in data and analytics engineering, steering architecture discussions and implementing robust, scalable data models.
- Prioritize for Performance: Balance feature delivery with a simple, performant design, ensuring pipelines are cost effective and run at high performance.
- Build and Maintain Layered Data: Collaborate with other technical contributors to expand a modern data warehouse capable of unlocking insights through strategic architecture you help define.
- Cross-Functional Collaboration: Partner with Product Managers, Engineers, and Business Stakeholders to capture requirements and translate them into technical solutions.
- Empower Business Users: Work with power users to enable data fluency and help teams build and explore reporting tools that unlock value.
- Champion AI & Automation: Promote AI-assisted coding, documentation, and data exploration techniques to streamline development and boost self-serve capabilities for business users.
Requirements
- 5+ years of experience implementing and scaling DBT in a team setting and growth environment.
- 5+ years of production data modeling using key data warehousing techniques on cloud platforms such as Databricks Delta, Snowflake, Redshift, BigQuery or similar. 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 SQL concepts, including performance implications.
- Familiarity with Spark or similar distributed data processing technologies.
- Proven track record building data pipelines with CI/CD (GitHub Actions or CircleCI) featuring well-tested pipelines, proactive alerting, and strong data quality standards.
- Familiarity with AI and automation tools (e.g., GitHub Copilot, Natural Language Query tools) to enable faster delivery of high-quality code.
- Skilled in data visualization platforms such as Looker, Tableau, Power BI, or similar tools, with a strong preference for Omni and experience in building dashboards and enabling self-service for users.
- Self-service capabilities in Git.
- Experience in Python is a bonus.
- 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 get the job done
- Free or discounted Lovevery products
- Remote working option available anywhere in the US
About Lovevery
Lovevery is a fast-growing digitally native brand co-founded by successful serial entrepreneurs and based in Boise, Idaho.
- Our customers are parents, and our mission is to help them feel confident they are giving their children meaningful development experiences in the critical early years of life. Taking a science-based approach, Lovevery was named one of Fast Company's 10 most innovative companies of 2024 and has received awards from TIME, Red Dot, Good Housekeeping and Forbes.
About the Role
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 opportunity to expand ownership across the data stack.
This role is well suited for someone who consistently delivers high-quality code solving complex problems, believes in the value of data within organizations, and embraces AI-driven solutions to improve velocity and results. You will join a team focused on enhancing transformation and visualization layers and will have the chance to lead initiatives on the data platform from day one, helping define how data decisions empower stakeholders.
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 business context, understanding key metrics, how they evolve, and how to empower others with actionable data.
Trusted Communicator: You operate at the intersection of technical and non-technical, translating complex requirements into elegant data products.
Results-Driven: You consistently deliver clean, actionable data models and tools that enable informed decisions across the organization. You tackle open threads, remove dead code, fix messy schemas, and tighten dashboards as needed.
AI-Forward Thinker: You actively explore generative AI and machine learning uses in data transformation, documentation, and user-facing tooling to advance business outcomes.
