Data Engineer, Foundations at Superhuman | CA, US | Rezi

Data Engineer, Foundations at Superhuman

Data Engineer, Foundations

Superhuman · CA, US

1 weeks ago

Data Engineer, Foundations

Superhuman · CA, US

9 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this Data Engineer, Foundations role.

Rezi rewrites your resume against Superhuman's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Data Engineer, Foundations posting at Superhuman — free, in seconds.

About the Role

Superhuman is seeking a Data Engineer to join the Data Foundations team to help build a world-class data platform. This role involves designing, architecting, and developing complex data pipelines and systems that process billions of daily events, directly impacting product features and data-driven decision-making.

Responsibilities

  • Design and implement robust, scalable, and reliable data pipelines and systems.
  • Architect, build, and own large-scale data pipelines and data lakes (Spark/Databricks).
  • Design and implement solutions for data availability, security, and scalability.
  • Own data quality, freshness, and reliability for foundational datasets.
  • Build ETL frameworks and tooling for self-service data modeling.
  • Partner with product teams, engineers, and data scientists to create data products.
  • Collaborate with leadership to shape the team’s charter and technical roadmap.

Requirements

  • 3+ years of experience running live production environments with a focus on uptime and reliability.
  • Proficient in SQL and Python.
  • Deep hands-on experience in Spark and a modern lakehouse or cloud data warehouse (Databricks, Delta Lake, dbt, Snowflake, or similar).
  • Strong knowledge of ETL/ELT design patterns, orchestration tools (e.g., Airflow, dbt, or Dagster), data quality frameworks, and CI/CD for data with Git-based deployments.
  • Data modeling and data warehouse design skills.
  • Rigorous approach to data quality and observability.
  • Hands-on experience with modern data storage technologies (e.g., Delta Lake, Snowflake, BigQuery, or Redshift).
  • Clear communication and collaboration skills across diverse teams and stakeholders.
  • Strong ownership mindset, taking end-to-end responsibility for systems.
  • Strong acumen for scalable, highly complex data processing.
  • Ability to think holistically about problems.
  • Self-starting problem-solver who thinks from first principles.
  • Ability to manage priorities across multiple projects.
  • Thrives in a fast-paced, results-driven environment.

Skills

  • SQL
  • Python
  • Spark
  • Databricks
  • Delta Lake
  • dbt
  • Snowflake
  • ETL/ELT
  • Airflow
  • Dagster
  • CI/CD
  • Git
  • Data Modeling
  • Data Warehouse Design
  • Data Quality
  • Observability
  • BigQuery
  • Redshift
  • Distributed Systems
  • Real-time Streaming
  • Kafka
  • Flink
  • Spark Structured Streaming
  • Iceberg
  • Hudi
  • Terraform

Location

  • San Francisco
  • Seattle

Work Type

  • Hybrid

Experience Level

  • 3+ years

Salary/Compensations

  • US Zone 1: $175,000 to $245,000
  • US Zone 2: $157,000 to $220,500

Benefits

  • Excellent health care (medical, dental, vision, mental health, fertility benefits)
  • Disability and life insurance options
  • 401(k) matching
  • Paid parental leave
  • 20 days of paid time off per year
  • 12 days of paid holidays per year
  • Two floating holidays per year
  • Flexible sick time
  • Generous stipends (caregiving, pet care, wellness, home office)
  • Annual professional development budget and opportunities

About the Company

  • Superhuman is an AI productivity platform on a mission to unlock superhuman potential.
  • The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites.
  • Products include Grammarly's writing assistance, Docs’ collaborative workspace, Mail's inbox management, and Go, the proactive AI assistant.
  • Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide.
  • Superhuman is a compound startup building multiple products as one integrated suite.
  • The Data Foundations team owns foundational datasets and data models that define the fundamental entities of Superhuman's business.

Equal Opportunity

  • Superhuman values differences and encourages applications from individuals traditionally underrepresented in tech.
  • We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law.
  • Superhuman is an equal opportunity employer.
  • Participant in the US federal E-Verify program (US).
  • Abides by the Employment Equity Act (Canada).