Member of Technical Staff - Data Platform

Stack

Responsibilities

• ▹Build and operate core data systems and pipelines for research, training and production
• ▹Design and implement reliable, scalable ingestion and orchestration patterns for batch and streaming workloads
• ▹Develop storage and compute foundations enabling reproducible experimentation and high-velocity iteration
• ▹Drive data quality and governance standards trusted for production decisions
• ▹Provide a foundational data layer unifying ingestion, processing and workflow management

Requirements

• ▹Strong data engineering background with experience shipping production-grade pipelines at scale
• ▹Experience designing and owning end-to-end data systems handling large-scale batch and streaming workloads
• ▹Comfortable debugging complex pipeline failures, optimizing for cost/performance and maintaining data quality
• ▹Experience with tools such as Spark, Flink, Beam, Airflow, Dagster, Kafka, PubSub, Parquet, Iceberg, Delta Lake, BigQuery or Snowflake
• ▹Thrives in a high-agency, fast-paced environment with bias toward action and impact
• ▹Excited about zero-to-one challenges rather than maintaining legacy systems

Soft skills

What we offer

• ▹Top-tier compensation with salary and equity
• ▹Stock options for all employees
• ▹Comprehensive medical, dental, vision and life insurance with annual wellness allowance
• ▹Lunch and dinner provided daily in the office
• ▹22 weeks paid parental leave for all new parents, including adoptive and surrogate journeys
• ▹Unlimited PTO in the US, 30 days in the UK
• ▹Visa sponsorship support
• ▹Regular off-sites, happy hours and team celebrations

About the company

Reflection is a research lab making intelligence open and accessible for everyone to use, customize and build on.