Mitchell Martin, Inc.

Mitchell Martin, Inc.

Senior Data Engineer

New York, New York, USA · Senior · Full-time

Sponsorship not specified$130k-$170kDetected 43 days ago
PythonSQLData EngineeringOnboarding

About the role

  • Experience in financial markets data domain.
  • Message and data rates may apply for texts.
  • Carriers are not liable for delayed or undelivered messages.

Responsibilities

  • Develop and optimize data models for analytics, reporting, and operations.
  • Design, build, and maintain scalable data pipelines for structured and unstructured data.
  • Implement data quality checks and monitoring to ensure data reliability.
  • Collaborate to understand data requirements and deliver accessible datasets.
  • Optimize query performance and storage costs across the data platform.
  • Core Technologies SQL | Python | Data Processing Frameworks | Orchestration Tools | Cloud Services | Data Transformation Tools | Version-controlled Analytics Workflows Contact Authorization: By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods.
  • The role involves collaborating with various teams to manage and govern data across a complex environment.

Requirements

  • Bachelor''s degree in a related field.
  • 7 years of experience in data engineering and production data pipelines.
  • Advanced skills in data modeling and proficiency in a programming language.
  • Experience with orchestration tools and cloud services.
  • The position requires strong experience with data modeling, pipelines, and data governance practices.
  • Qualifications Bachelor''s degree in a related field.

Compensation

  • $130,000-$170,000 Per Year Description Our client is looking for a Senior Data Engineer to design and scale data infrastructure supporting investment strategies.

This listing is sourced directly from Mitchell Martin, Inc.'s careers page and normalized into a canonical job model.