Staff Data Engineer
Skills
- Expertise in ELT data pipelines using modern tools such as dbt, Airflow, and Fivetran
- Deep experience with cloud data warehouses like Snowflake, BigQuery, or Redshift
- Strong data modeling skills including dimensional modeling and star/snowflake schemas
- Proficient in SQL and at least one general-purpose programming language such as Python, Java, or Scala
- Experience with streaming data platforms like Kafka or Kinesis
- Familiarity with infrastructure-as-code tools like Terraform and DevOps practices
- Hands-on experience with BI and semantic layer tools such as Looker, Mode, or Tableau
Responsibilities
- Design, build, and maintain scalable and reliable data pipelines and infrastructure to support analytics, operations, and product use cases
- Develop and evolve dbt models, semantic layers, and data marts to enable self-serve analytics
- Collaborate with non-technical stakeholders to translate business needs into metrics and analytical tools
- Lead architectural decisions for the data platform, ensuring performance and scalability
- Build and maintain data orchestration workflows using tools like Airflow, dbt, and Snowflake
- Champion data quality, documentation, and observability across the organization
- Mentor engineers and analysts, promoting best practices in data and analytics engineering
Education
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
Benefits
- Remote-first work model with flexibility and regular in-person connection
- Employer-paid health insurance and 401k match with immediate vesting (US employees)
- Generous and flexible time off including 2 company-wide closure weeks
- Wellness, productivity, education, and Taskrabbit product stipends
- IKEA discounts and reproductive health support
- Inclusive and diverse workplace culture focusing on equity and allyship
Average salary estimate
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