Senior Data Engineer, Data Foundations – Hybrid

Superhuman; San Francisco (CA); Hybride; USD 206 000 - 290 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Market-based compensation

Résumé du poste

Superhuman is seeking a Senior Data Engineer to join the Data Foundations team. You will design and operate large-scale data pipelines and data lakes, enabling product features and data-driven decision-making for a fast-growing AI productivity suite.

In this role, you’ll orchestrate ETL/ELT workflows, ensure data quality and observability, and collaborate with product, data science, and engineering teams to build scalable, reliable data platforms. Hybrid US-based work model.

Qualifications

• 7+ years of experience building and operating large-scale distributed systems.
• 5+ years running live production environments with high-load data workflows.
• Proficient in SQL and Python with Spark and lakehouse or cloud data warehouse experience.
• Strong knowledge of ETL/ELT design patterns, orchestration tools, and CI/CD for data.
• Strong data modeling and data warehouse design skills.
• Hands-on experience with modern data storage technologies (Delta Lake, Snowflake, BigQuery, Redshift).
• Strategic thinker balancing in-house vs third-party solutions.
• Excellent communication and ownership mindset.
• Self-starting problem-solver in a fast-paced environment.

Responsabilités

• Design and implement robust, scalable data pipelines and systems for large data volumes.
• Architect, build, and own large-scale data pipelines and data lakes (Spark/Databricks).
• Ensure data availability, security, and scalability for real-time and batch processing.
• Own data quality, freshness, and reliability with automated checks and monitoring.
• Build ETL frameworks and tooling for self-serve data products across teams.
• Collaborate with product, backend, ML, and Data Science to ship data products.
• Partner with leadership to shape team charter and technical roadmap.

Connaissances

SQL

Python

Data modeling

Data warehousing

Communication

Outils

Spark

Databricks

Delta Lake

dbt

Snowflake

Airflow

Dagster

Description du poste

Superhuman is seeking a Senior Data Engineer to join the Data Foundations team. You will design and operate large-scale data pipelines and data lakes, enabling product features and data-driven decision-making for a fast-growing AI productivity suite.

In this role, you’ll orchestrate ETL/ELT workflows, ensure data quality and observability, and collaborate with product, data science, and engineering teams to build scalable, reliable data platforms. Hybrid US-based work model.