Senior Data Engineer - Vice President

Citigroup

Irving, Texas, United States
Base: $125,760.00 - $188,640.00; bonus/equity: dis...
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Expert python and pyspark proficiency
Databricks lakehouse platform experience
Delta lake and apache iceberg knowledge
** Citi is seeking a Senior Data Engineer - Vice President in Irving, Texas, for a hybrid work environment. The role requires extensive experience in data engineering with a focus on cloud platforms, big data technologies, and leadership skills to drive projects and mentor junior engineers. **

Job Summary

  • This role is pivotal in designing, building, and optimizing data infrastructure on cloud platforms while providing exposure to cutting-edge Artificial Intelligence projects.
  • The successful candidate will lead the design of Starburst-based data solutions and manage data federation strategies to integrate disparate systems seamlessly.
  • Citi offers competitive benefits including medical, dental, vision coverage, 401(k), life insurance, and paid time off packages alongside a salary range of $125,760.00 - $188,640.00.

Matching Summary

Match Score: 75

** Citi is seeking a Senior Data Engineer - Vice President in Irving, Texas, for a hybrid work environment. The role requires extensive experience in data engineering with a focus on cloud platforms, big data technologies, and leadership skills to drive projects and mentor junior engineers. **

Salary

Base: $125,760.00 - $188,640.00; Bonus/Equity: Discretionary and formulaic incentive and retention awards available; Benefits: Medical, dental, vision, 401(k), life, accident, disability insurance, wellness programs, and paid time off

Skills & Requirements

Must-have

  • Expert Python and PySpark proficiency
  • Databricks Lakehouse Platform experience
  • Delta Lake and Apache Iceberg knowledge
  • Starburst federated query engine skills
  • Snowflake data warehouse management
  • Ab Initio ETL workflow implementation
  • Cloud platform architecture (AWS/Azure/GCP)

Nice-to-have

  • Agile and Scrum methodology expertise
  • Leadership and mentorship capabilities
  • Client-facing communication skills
  • Experience with RAG and Agentic AI systems
  • Vector database pipeline development
  • Kubernetes and Docker containerization

Key Requirements

  • 6-10 years hands-on data engineering experience
  • Bachelor's degree or equivalent experience
  • Proven leadership and project guidance skills
  • Experience mentoring junior engineers
  • Strong stakeholder and client interaction background

Work Rights

Not specified

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