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Software Engineer, Data Engineering

Superhuman· Data Platform
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Hybrid (San Francisco), Hybrid (Seattle)$200k - $265kFull-timePosted 10mo ago

About the role

A role focused on shaping and implementing scalable, secure, and efficient data systems to handle large-scale data ingestion, processing, and analysis, supporting product and business growth.

Responsibilities

  • Architect and lead the development of large-scale systems for data pipelines, data lakes that handle billions of daily events.
  • Design and implement solutions that ensure data is available, secure, and scalable across the platform, enabling real-time and batch processing.
  • Make high-level architectural decisions about system design, technology choices, and platform evolution, ensuring scalability and long-term sustainability.
  • Collaborate with key stakeholders, such as product teams, data engineers, back-end developers, and ML engineers, to build tools & frameworks that power analytics, product features, and data-driven workflows.
  • Work with business stakeholders such as Analytics Engineering and Data Science teams to build high-impact data products enabling business-critical features, research, and experimentation with a focus on efficiency and alignment.
  • Collaborate with Leadership in devising the charter and technical roadmaps.
  • Mentor engineers across back-end infrastructure and data engineering disciplines, fostering a culture of collaboration and technical excellence.

Qualifications

  • Brings at least 10 years of experience in large-scale distributed computing systems, with expertise in both data engineering and data modeling.
  • Has 5+ years of experience managing live production environments, including high-load systems or data-intensive workflows with a focus on uptime and reliability.
  • Expert in SQL and proficient in technologies like Spark, Kafka, Terraform, and in at least one programming language used for data engineering (e.g., Python, Scala, Java).
  • Strong knowledge of ETL/ELT design patterns, orchestration tools (e.g., Airflow, dbt, Dagster), and data quality frameworks.
  • Ability to design scalable, secure, and maintainable data models and architectures, with understanding of data governance and privacy regulations (GDPR/CCPA).
  • Hands-on experience with modern data storage technologies such as Delta Lake, Snowflake, BigQuery, Redshift.
  • Strategic thinker capable of evaluating build vs. buy decisions, ensuring scalability and long-term viability.
  • Excellent communicator and collaborator, able to translate business needs into robust data solutions.
  • Proven ability to work independently with minimal guidance, managing multiple projects efficiently, and thriving in fast-paced environments.

Skills

Required:Distributed Computing SystemsData Engineering TechnologiesETL/ELT Design and OrchestrationData Governance and Security

Benefits

  • Excellent health care (medical, dental, vision, mental health, fertility benefits)
  • Disability and life insurance options
  • 401(k) and RRSP matching
  • Paid parental leave
  • 20 days of paid time off per year, plus holidays, floating holidays, and sick time
  • Generous stipends for caregiving, pet care, wellness, home office, etc.
  • Annual professional development budget and opportunities
Last updated Mar 28, 2026. Interested? Apply on the company site.

About Superhuman

Superpowers, everywhere you work

Superhuman is the AI productivity suite that gives you superpowers everywhere you work. So you can be more creative, strategic, and impactful.

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