Senior Data Engineer, Data Platform & AI Tools

Lower; Austin (TX); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k)

Paid holidays & PTO

Home mortgage discount

Job summary

Lower is seeking a Senior Data Engineer to join our Data & Analytics team. You will design and build major data infrastructure components powering reporting and decision-making using Snowflake, dbt, Looker, and Domo. The role involves ownership from scoping to delivery and mentoring teammates.

You’ll work in a hybrid setup (Columbus, OH; Austin, TX) and partner with marketing, sales, operations, finance, product, and mortgage teams to translate needs into trusted data models and metrics.

Qualifications

• 5-8+ years in data engineering or analytics engineering.
• Deep SQL expertise with large, complex datasets.
• Experience owning production data pipelines and models.

Responsibilities

• Design and build warehouse components in Snowflake (ingestion, transformation, core schema).
• Lead ingestion of complex datasets from multiple sources (APIs, SFTP, data shares).
• Define modeling standards with dbt and build reusable data assets for reporting and analytics.
• Own end-to-end initiatives with minimal oversight.
• Mentor junior engineers through code reviews and guidance.
• Collaborate with stakeholders across marketing, sales, operations, finance, product, and BI teams.

Skills

SQL

Python

Snowflake

dbt

Data pipelines

BI tooling

Looker/Domo/Tableau/Power BI

Tools

Snowflake

dbt

Looker

Domo

ETL/ELT tooling

Job description

Lower is seeking a Senior Data Engineer to join our Data & Analytics team. You will design and build major data infrastructure components powering reporting and decision-making using Snowflake, dbt, Looker, and Domo. The role involves ownership from scoping to delivery and mentoring teammates.

You’ll work in a hybrid setup (Columbus, OH; Austin, TX) and partner with marketing, sales, operations, finance, product, and mortgage teams to translate needs into trusted data models and metrics.