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Senior Data Engineer

Selby Jennings Manhattan, États-Unis
Mise en ligne il y a 10 jours Au Bureau CDI USD200000 - USD400000 per year

Senior Data Engineer

Selby Jennings Manhattan, États-Unis
Senior Data Engineer opportunity with a healthcare investment firm's AI and technology division. This role focuses on building scalable data pipelines, designing enterprise data architecture, improving data quality and observability, and supporting analytics, applications, and AI-driven systems. Ideal candidates have strong Python, SQL, Databricks or Snowflake experience, and a track record working with complex, high-value datasets in finance, healthcare, or alternative data environments.



Responsibilities

  • Build and optimize scalable data pipelines and data products.
  • Develop reliable datasets for analytics, reporting, and AI applications.
  • Establish data engineering standards, frameworks, and best practices.
  • Improve data quality, monitoring, testing, and platform observability.
  • Integrate and reconcile complex datasets from multiple sources.
  • Partner with business stakeholders and technical teams to deliver impactful solutions.
  • Drive automation and operational excellence across the data platform.
  • Mentor engineers and contribute to technical leadership within the team.


Qualifications

  • 6+ years of data engineering experience in production environments.
  • Advanced Python and SQL skills.
  • Strong experience with Databricks, Snowflake, or similar cloud data platforms.
  • Hands-on experience with Spark/PySpark and large-scale data processing.
  • Deep understanding of data modeling, ETL/ELT, and data warehousing concepts.
  • Experience building data quality, validation, and monitoring solutions.
  • Comfortable working with complex, imperfect datasets and solving data integrity challenges.
  • Strong communication skills and ability to operate independently.
  • Bachelor's degree in a technical or quantitative field.


Preferred

  • Azure cloud experience.
  • Background working with financial, healthcare, life sciences, or alternative data.
  • Experience with CI/CD, Terraform, and modern data engineering tooling.
  • Exposure to AI/ML platforms and data products.
  • Previous leadership or mentoring experience.

job_description_image
Référence  PR/608362
À PROPOS DE CETTE ENTREPRISE
New York, United States
1000 Collaborateurs Ressources humaines
We support the Financial Sciences & Services industry with talent that can truly shape the future of a business. Whether that be Quantitative Analyti...
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