20h ago
Data Engineer
Hybrid - Austin, Texas; Hybrid - Buffalo, New York; Hybrid - Nashville, Tennessee; Hybrid - San Francisco, California
$127k-$175k / year
full-timesenior Hybridsoftware
๐ Tech Stack
๐ผ About This Role
You'll design data models, build robust pipelines, and manage DevOps for a BI team at Motive, a company empowering physical operations with AI. Your core impact will be delivering high-quality datasets that drive global strategy, leveraging cutting-edge AI tooling and a modern data stack.
๐ฏ What You'll Do
- Partner with stakeholders to design end-to-end architecture.
- Build and maintain data models in Snowflake and Iceberg using dbt.
- Orchestrate data pipelines with Airflow, Python, and Terraform.
- Implement data quality testing and governance practices.
๐ Requirements
- 6+ years in Analytics Engineering or Data Engineering.
- Deep expertise in SQL and dimensional modeling.
- Hands-on experience with Snowflake, dbt, Airflow, and AWS.
- Proficiency with Python and Terraform.
โจ Nice to Have
- Experience with Snowpark or Cortex AI.
- Building dashboards in Tableau or Retool.
- Semantic models for natural language querying.
๐ Benefits & Perks
- ๐ฅ Health, pharmacy, optical, dental
- ๐๏ธ Paid time off and sick time
- ๐ 401k contribution
- ๐ก๏ธ Short/long-term disability & life insurance
- ๐ป Remote/hybrid work options
๐จ Hiring Process
Estimated timeline: 2-4 weeks ยท AI estimate
- 1Recruiter Screenยท 30 min
- 2Technical Interviewยท 60 min
- 3Hiring Manager Interviewยท 45 min
- 4Team Fit Interviewยท 45 min
- 5Offerยท N/A
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