Investment Data Strategist (Research, Market Data & Replication)

DBi

Greenwich (CT)

On-site

USD 90,000 - 110,000

Full time

14 days+
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Job summary

A financial services firm is looking for a Senior Data Engineer to manage and scale their data infrastructure. The role involves ingestion and storage of various datasets, and requires around 5 years of experience in data engineering, strong Python and SQL skills, and hands-on experience with Snowflake. Ideal candidates will also possess API building experience and an understanding of financial data. This is a full-time opportunity for a mid-senior level professional.

Qualifications

  • Around 5 years of experience in data engineering or investment systems.
  • Hands-on experience with Snowflake.
  • Strong skills in Python and SQL.

Responsibilities

  • Own ingestion, normalization, and storage of datasets.
  • Manage integrations with external data providers.
  • Design and maintain data pipelines into Snowflake.

Skills

Python
SQL
Data engineering experience
API building
Financial time-series data understanding

Tools

Snowflake
Fivetran

Job description

Senior Data Engineer, Investment Systems

DBi is hiring a Senior Data Engineer to own and scale the firm’s data and internal platform infrastructure. This role works directly with the PM and supports research, portfolio management, and production workflows.

Responsibilities
  • Own ingestion, normalization, and storage of hedge fund, market, and proprietary datasets
  • Manage integrations with external data providers
  • Design and maintain pipelines into Snowflake using Fivetran and custom ETL
  • Implement data validation, reconciliation, and quality controls
  • Maintain clean, reproducible historical time series
  • Design and maintain REST APIs for internal data access
  • Maintain and extend internal tools including Streamlit dashboards
  • Work with external partners such as Everysk on critical workflows
Required Qualifications
  • ~5 years experience in data engineering or investment systems
  • Strong Python and SQL
  • Hands‑on Snowflake experience
  • Experience building APIs
  • Understanding of financial time‑series data
Strong Plus
  • Hedge fund, asset manager, or fintech experience
  • Streamlit and ETL tooling familiarity
  • Cloud infrastructure exposure

Seniority level: Mid‑Senior level

Employment type: Full‑time

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