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About the Role
Design and build major components of the data infrastructure that powers reporting, analytics, and decision-making across the business. This role involves setting a high engineering bar, mentoring other engineers, and taking ownership of complex initiatives from scoping through delivery with minimal oversight. Experience with modern AI development tools is also valued.
Responsibilities
- Design and build major components of our warehouse in Snowflake, including ingestion, transformation, and core schema domains, with work in legacy Redshift environments.
- Lead the ingestion of complex datasets from various source systems (APIs, SFTP, data shares, etc.) into the core schema.
- Define modeling standards using dbt and build curated models, marts, and reusable data assets.
- Own complex initiatives end-to-end, defining scope, creating technical plans, and delivering scalable solutions with minimal oversight.
- Solve ambiguous, multi-system technical problems and make design decisions that support business growth.
- Proactively identify scalability constraints, downstream impacts, and re-architecture needs, proposing solutions.
- Set a high bar for code quality through code review, drive improvements in testing, validation, and documentation.
- Support and troubleshoot business-critical pipelines and jobs in production, including incident response.
- Collaborate with stakeholders across various departments to translate their needs into trusted data models and metrics.
- Mentor junior and mid-level engineers through code review, pairing, and technical guidance.
- Influence modeling and architecture decisions within the team.
Requirements
- High give a sh*t factor - care about the quality of deliverables and hold yourself to a high standard.
- Collaborate generously and treat teammates and stakeholders as partners.
- Drawn to hard, ambiguous challenges and motivated by building impactful solutions.
- Bring a strong point of view and be open to updating it based on evidence.
- 5-8+ years in data engineering, analytics engineering, BI engineering, or a similar data-focused role with demonstrated technical ownership and impact.
- Deep SQL expertise and extensive experience with large, complex, and messy datasets.
- Track record of designing and owning production pipelines and data models.
- Strong experience with a cloud data warehouse (Snowflake, Redshift, BigQuery, or Databricks), including performance tuning and cost optimization.
- Substantial experience with dbt or a similar transformation framework, including designing reusable patterns and standards.
- Strong Python (or similar) for data processing, automation, and pipeline orchestration.
- Deep familiarity with data integration patterns (APIs, SFTP, file-based ingestion, data shares, etc.).
- Fluency with BI and analytics tools (Looker, Domo, Tableau, Power BI), including semantic layer design.
- Hands-on experience using AI-assisted development tools in engineering work.
- Comfort operating with limited direction: scoping, sequencing work, and knowing when to involve others.
- Experience mentoring or informally leading other engineers.
- Ability to communicate clearly with both technical and non-technical stakeholders.
Skills
- Snowflake
- dbt
- Looker
- Domo
- SQL
- Python
- APIs
- SFTP transfers
- Data shares
- BI tools
- Analytics tools
- AI-assisted development tools
- Claude Code
- Cursor
Location
- Hybrid in Columbus, OH
- Hybrid in Austin, TX
Work Type
- Full-time
- W2 employment
Experience Level
- Senior
- 5-8+ years
About the Company
- Lower.com is looking for a Senior Data Engineer to join our Data & Analytics team.
- We're looking for someone who cares deeply about their craft, thinks in terms of the whole business, and holds a point of view without holding it too tightly.
- We're also investing in modern AI development tools and agentic workflows, including Claude Code and Cursor.