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Lazard

Advises on corporate deals and manages investments

Data Engineer

Data EngineeringUpdated on Nov 12
Full-timeNew York, NY, USA$170k - $200kIn-person

About the Job

Requirements

  • At least 5 years of hands-on database and data warehouse engineering experience.
  • At least 5 years of advanced SQL expertise applied to data engineering workloads.
  • At least 5 years of Azure cloud experience focused on Azure data engineering services.
  • At least 5 years of hands-on experience with ETL techniques and processes, including identifying and resolving gaps, overlaps, and inconsistencies in market data feeds.
  • At least 5 years of experience on a team responsible for acquiring, ingesting, and managing external market data.
  • Strong backend database development experience.
  • Knowledge of best practices for code quality, testing, and performance optimization.

Responsibilities

  • Contribute to the operational excellence of existing ETL workloads running on Snowflake, Databricks, and Sybase.
  • Respond to end-user requests and troubleshoot issues related to data access, latency, and performance.
  • Work with business and technology teams to understand data consumption patterns and optimize them for performance and cost.
  • Work with stakeholders to design new data delivery channels in Azure.
  • Coordinate design, configuration, and deployment activities with Infrastructure teams.
  • Use dbt (data build tool) for transformations between raw ingestion layers and curated downstream datasets.
  • Use Python for scripting and automation to support data management.

Desired Qualifications

  • Experience with Snowflake, Databricks, and Sybase, including building historical data archives and designing schemas for time-series financial market data.
  • Experience with DevOps practices, including GitLab CI/CD pipelines using YAML and UI-based configurations.
  • Experience with dbt (data build tool).
  • Broad understanding of the systems and business processes supporting Middle Office and Back Office functions at investment banks or asset managers.
  • Strong understanding of AI/ML concepts and implementations, including exposure to AI coding tools such as Claude Code or GitHub Copilot.
  • Experience with Linux and shell scripting.

About the Company

Lazard

Advises on corporate deals and manages investments

Lazard advises companies and governments on major financial decisions and manages investment portfolios for institutions, families, and wealthy individuals. Its financial advisory teams work on mergers, capital raising, and debt restructurings, combining industry knowledge with local teams that coordinate across markets. The asset management business researches investments and runs portfolios across stocks, bonds, and alternative assets, while specialized advisers analyze geopolitical risks for corporate leaders. Lazard earns fees for advisory assignments and investment management, with investment fees generally tied to client assets. The firm traces its roots to 1848 and is headquartered in New York City.

Company size
1,001-5,000
Company stage
IPO
Headquarters
New York, NY
Founded
1848

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