Senior Data Engineer
The Senior Data Engineer will design scalable data pipelines and warehousing systems supporting analytics, business metrics, and machine-learning initiatives. The role requires 4+ years of enterprise data experience, expertise with modern data platforms and ETL, and the ability to mentor engineers and collaborate across functions.
About the job
Responsibilities
- Lead the design and development of robust data pipelines to ingest, aggregate, and index diverse data sources into the organization's data warehouse.
- Spearhead development of a data warehousing platform that meets SOC 2 security and compliance requirements.
- Collaborate with data analytics to ensure the data platform supports reporting and analysis of key business metrics.
- Partner with data science and machine learning teams to build scalable capabilities for insight generation and leveraging LLMs.
- Mentor and coach engineers on the data team, fostering data excellence and innovation.
- Collaborate with Backend Engineering, Analytics, Business Intelligence, Security, and Machine Learning practitioners to connect business needs and drive projects forward.
Requirements
- 4+ years of experience architecting and implementing large-scale enterprise data solutions.
- 2+ years of experience with modern data platforms such as Databricks, Snowflake, and Redshift, including their architectural principles.
- 2+ years of experience designing and optimizing high-volume, real-time, and batch ETL pipelines.
- 1+ years of experience coaching and mentoring team members.
- Experience thriving in startup environments, with a proactive attitude and passion for impactful change.
- Excellent oral and written communication skills and the ability to collaborate cross-functionally.
- Advanced degree in Statistics, Computer Science, Mathematics, or a related field, or relevant industry experience.
Compensation & Benefits
- Base pay ranges from $175,000 to $220,000 USD; the range may cover several career levels and will be narrowed during the interview process based on experience, qualifications, and location.
- Meaningful equity through stock options.
- Flexible paid time off.
- Remote-first work environment.
- $1,200 home office and equipment stipend.
Skills
Dagster, dbt, Planetscale, Tinybird, Snowflake, Databricks, Amazon Redshift, ETL, Data Warehousing, SOC 2, Real-Time Data Pipelines, Batch Data Pipelines, LLMs, Machine Learning, SQL
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