Member of Technical Staff - Data Platform

Reflection AI
New York, San Francisco, London
Workplace: OnsiteFull timeFunction: Software EngineeringSkills: ["Spark","Flink","Beam","Airflow","Dagster","Kafka","PubSub","Parquet","Iceberg","Delta Lake","BigQuery","Snowflake","Great Expectations"]

We are building the core data systems and pipelines that power research, training, and production environments. You’ll design and implement scalable ingestion and orchestration for batch and streaming workloads, develop storage/compute foundations for reproducible experimentation, drive data quality and governance, and enable a unified data layer across model development with a high-velocity, cost-aware mindset.

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FursaFursa
Reflection AI
Reflection AI
4 months ago

Member of Technical Staff - Data Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

We are building the core data systems and pipelines that power research, training, and production environments. You’ll design and implement scalable ingestion and orchestration for batch and streaming workloads, develop storage/compute foundations for reproducible experimentation, drive data quality and governance, and enable a unified data layer across model development with a high-velocity, cost-aware mindset.
Location: New York, San Francisco, London
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Build and operate core data systems and pipelines powering research, training, and production environments.
  • •Design and implement reliable, scalable ingestion and orchestration patterns for batch and streaming workloads.
  • •Develop storage and compute foundations that enable reproducible experimentation and high-velocity iteration.
  • •Drive data quality and governance standards that teams can trust for production decisions.
  • •Provide the foundational data layer that unifies ingestion, processing, and workflow management across model development.

Pay and Benefits

Perks:Health InsuranceWellness StipendParental LeaveRelocationEquity

Key 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 and performance, and maintaining data quality.
  • •Thrive in a high-agency, fast-paced environment; bias toward action and impact.
  • •Excited about zero to one challenges — building new systems rather than maintaining legacy ones.
Experience:Data engineering
Skills:SparkFlinkBeamAirflowDagsterKafkaPubSubParquetIcebergDelta LakeBigQuerySnowflakeGreat Expectations
Languages:English
Tech Stack:SparkFlinkBeamAirflowDagsterKafkaPubSubParquetIcebergDelta LakeBigQuerySnowflakeGreat Expectations

Company Brief

Reflection AI
Builds frontier autonomous AI systems focused on autonomous coding agents (product: Asimov) to create organizational superintelligence, founded by former DeepMind/Google researchers and hiring across SF, NYC, London.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: San Francisco, United States
Founded: 2024
WebsiteLinkedInGlassdoor