Senior Data Engineer in Analytics

Simbe is at the forefront of retail innovation, working with cutting-edge AI and robotics technologies to transform retail operations.
$120,000 - $135,000
Data
Senior Software Engineer
Hybrid
3+ years of experience
AI · Robotics · Retail

Description For Senior Data Engineer in Analytics

Simbe Robotics is seeking a Senior Data Engineer in Analytics to lead the design and implementation of their analytics infrastructure. This role is crucial in building a cohesive analytics ecosystem that empowers data analysts and scientists. The position offers an opportunity to work at the intersection of retail innovation, AI, and robotics.

The ideal candidate will bring strong expertise in data warehousing, SQL, and Python, combined with cloud systems design experience. They will be responsible for implementing sophisticated data pipelines, ensuring data quality, and maintaining security compliance. The role involves working with various data sources including Postgres, Google Cloud Storage, Salesforce, and other platforms.

What makes this role unique is its impact on retail transformation through cutting-edge technology. The position offers competitive compensation ($120,000-$135,000) and the opportunity to work in a dynamic, inclusive culture driven by innovation. Simbe's values (RETAIL: Result Driven, Empathetic, Transparent, Agile, Innovative, Leaders) reflect their commitment to excellence and customer-centric approach.

The hybrid work environment in South San Francisco provides flexibility while maintaining collaborative opportunities. This role is perfect for someone who wants to be at the forefront of retail innovation while building and maintaining critical data infrastructure that drives business decisions.

Last updated 7 days ago

Responsibilities For Senior Data Engineer in Analytics

  • Design, implement, and scale analytics infrastructure
  • Ingest data from various sources into BigQuery using Data Build Tool (dbt)
  • Implement data quality testing framework and documentation
  • Evaluate and choose cloud tools for business needs
  • Monitor and optimize cloud costs
  • Ensure data security and compliance with GDPR, PII laws, and SOC 2

Requirements For Senior Data Engineer in Analytics

Python
PostgreSQL
  • Bachelor's or Master's degree in Computer Science or related field (recommended)
  • 3+ years experience with SQL, BigQuery, and GCP
  • Hands-on expertise with dbt
  • Experience with Postgres
  • Strong data modeling skills for analytical use cases
  • Experience implementing and managing data warehouses
  • Excellent communication skills
  • Strong sense of ownership and accountability

Interested in this job?

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