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ATG

Member of Technical Staff (Data Platform)

New York, United States +1

Location
New York, United States · San Francisco, California, United States
Work
Hybrid
Employment
Full-time
Level
Lead / staff
Function
Engineering
Pay
$150K – $275K a year
Posted
3 months ago

Pay and the market here

The top of this role’s range, $275K a year, is about the median of $280K for lead / staff engineering jobs in New York (middle half $240K – $331K, 667 jobs that state pay).

3,709 engineering jobs open in New York: 12% remote, 695 posted in the last 30 days.

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About the role

About us

ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Autonomous is an agentic wealth manager built on this foundation.

Founders: Early GPU cloud (9 figure exit).

Investors: Led by Garry Tan / YC with participation from one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), and other top-tier angels.

About the Role

You’ll design, build, and maintain the robust data pipelines and infrastructure required for large-scale AI research, applied AI, production systems. We are building a data lake that ingests a broad and growing set of financial and market datasets from many vendors and sources. You will take ownership of it end to end: hardening what exist today, making the core architectural calls on storage, orchestration, and data modeling, and building out the rest.

Your job is to ingest all of it, model it correctly, and make it queryable, versioned, and trustworthy for both humans and AI agents.

Responsibilities

  • Own the data platform end to end: ingestion, storage, transformation, cataloging, governance, and access across research and production.
  • Build reliable pipelines: onboard large, heterogeneous datasets; handle schema changes, late data, revisions, backfills, and vendor failures.
  • Guarantee research-grade correctness: point-in-time data, lineage, versioning, and reproducibility; prevent look-ahead and survivorship bias.
  • Create trusted data products: normalize identifiers, timestamps, corporate actions, reference data, and unstructured sources into accessible datasets and APIs.
  • Enable AI-native systems: build permission-aware interfaces, metadata, datasets, and benchmarks designed for both researchers and agents.
  • Partner across the team: work directly with research and engineering to turn ambiguous problems into durable data capabilities.

Requirements

  • Exceptional software and data engineering skills: strong Python and SQL, plus experience with distributed processing and modern data infrastructure.
  • Production ownership: demonstrated ability to design, deploy, operate, and improve business-critical data systems at scale.
  • Temporal-data expertise: revisions, event time versus knowledge time, reproducibility, and point-in-time querying.
  • Strong data judgment: messy, changing, unstructured, or adversarial data; rigor about correctness, provenance, and privacy.
  • AI-native workflow: uses coding agents daily and builds data systems that are safe, well-described, and machine-consumable, for agents as much as humans.
  • Financial-data experience strongly preferred: market data, security identifiers, corporate actions, or quantitative research.

Why Join ATG

We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we’d love to meet you.

  • Work on AI with a massive market opportunity
  • Early team of repeat founders backed by top investors
  • High agency, talent dense, zero bureaucracy

Source

Posted by ATG on their own hiring page, jobs.ashbyhq.com. OptiTalent shows it as published, read 07 Nov 2026 12:05 UTC; the original is the reference.

View the original ad ↗

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