Skip to content
Farther FinanceFarther FinanceNew York, NY

AI-Native Data Platform Engineer

Designs and owns canonical data foundations, ingestion pipelines, and AI-ready schemas for financial AI systems in wealth management. Requires 5+ years data platform experience, SQL/Python expertise, custodial data knowledge, and AWS proficiency.

Salary not listed
Hybrid5+ YOEData Engineering

About the role

Responsibilities

  • Design scalable ingestion pipelines across custodians (Schwab, Fidelity, Pershing, etc.) and internal financial systems
  • Build and evolve canonical models for accounts, positions, transactions, balances, corporate actions, and household hierarchies
  • Define financial data ontology and enforce strong data contracts across services
  • Implement reconciliation frameworks and golden-source resolution across multi-vendor datasets
  • Engineer AI-ready data layers optimized for embeddings, vector search, and RAG architectures
  • Structure financial datasets to improve prompt reliability and LLM output consistency
  • Architect closed-loop, agent-driven systems that monitor, reason over, and autonomously remediate data inconsistencies
  • Implement observability, lineage, governance, and fine-grained access controls across regulated datasets

Requirements

  • 5+ years building production-grade data platforms
  • Deep SQL expertise and strong Python for data engineering
  • Experience designing canonical schemas and resolving vendor data inconsistencies
  • Strong understanding of custodial financial data (positions, trades, balances, performance, corporate actions)
  • Familiarity with embeddings, vector databases, and retrieval architectures
  • Exposure to prompt engineering and structured context design for LLM systems
  • Knowledge of MLOps fundamentals (versioning, monitoring, reproducibility)
  • Comfortable with AWS data services (S3, Lambda, ECS, Glue, Redshift, OpenSearch) and event-driven orchestration
  • Strong ownership mindset and systems-level thinking

Nice-to-Haves

  • Wealth management or capital markets background
  • Experience integrating OpenAI or Anthropic APIs into production systems
  • Experience designing retrieval schemas for AI agents
  • Experience with authorization and policy platforms (e.g., OSO, Auth0)
  • Experience implementing fine-grained access control for AI-driven systems
  • Familiarity with GitHub-based CI/CD workflows and automation
  • Experience with data governance, lineage, and compliance controls

Benefits

  • Full health benefits + 401(k) matching & Roth IRA options
  • Unlimited PTO

Skills

SQLPythonAWSRedshiftGlueS3AWS LambdaOpensearchEmbeddingsVector DatabasesRAGMLOpsPrompt Engineering
OnePay

Data Analytics

OnePayUnited States

Senior Analytics Engineer owning OnePay's dbt models, Databricks BI, data quality, and semantic layers on a fast-moving fintech team. Requires 5+ years production analytics engineering, expert SQL/dbt, Databricks experience, and daily AI coding tool usage.

130k – 170k/yr
Remote5+ YOEData Engineering
Hilbert

Forward Deployed Data Engineer (Integration)

HilbertSan Francisco, CA

Forward Deployed Data Engineer building hybrid data pipelines and semantic layers for Hilbert's AI Growth Engine. Implements warehouse-native or managed ClickHouse integrations, partners with AI agents for accelerated onboarding, and ensures reasoning consistency across customer environments.

Salary not listed
HybridData Engineering
The Voleon Group

Software Engineer, Data Infrastructure

The Voleon GroupNew York, NY +1

Software Engineer building scalable data infrastructure, cataloging, versioning, and lineage tools to support ML research and production workflows at an AI-driven hedge fund. Requires 3+ years experience, strong software design skills, and expertise in a modern language like Python or Java.

235k – 300k/yr
Remote3+ YOEData Engineering
Hinge Health

Client Delivery Specialist

Hinge HealthSan Francisco, CA

Manage end-to-end file-based data integrations, ingestion, transformation, and maintenance for eligibility, marketing, and reporting. Own data integrity, resolve issues, automate workflows with AI, and partner cross-functionally with Customer Success, Engineering, and Revenue Operations teams.

80k – 120k/yr
HybridData Engineering
xAI

Software Engineer

xAIPalo Alto, CA

Build and operate realtime and batch data pipelines processing billions of events daily at xAI. Design distributed data platforms, own data correctness, create shared datasets for product and business teams, and partner on data acquisition using tools like Spark, Kafka, Flink, and SQL.

125k – 400k/yr
On-site3+ YOEData Engineering