Senior PySpark Developer - Vice President

Citi

Remote

Quick summary

Work type
Remote
Location
Tampa, Florida
Salary
$113,840–$170,760 / yr
Posted
5 days ago
Closes
Jul 10, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $169k
This role $142k
$102k most similar roles pay here $225k

This role pays less than 75% of similar roles. Most pay $143,412–$195,200 — the shaded band above. At the midpoint, this role pays about $142k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 380 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 354 roles with salary data.

Most-posted roles

View all roles at Citi

At a glance

TL;DR · Senior PySpark Developer - Vice President

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The Senior PySpark Developer role is part of a dynamic technology team at Citi, requiring an experienced professional to design and develop robust data pipelines using Python, PySpark, and Big Data technologies. The candidate will work independently on complex projects, ensuring alignment with architectural standards while optimizing database performance and ETL processes for large-scale data warehousing solutions in the financial sector. Essential skills include expertise in Python programming, Apache Spark architecture, Hadoop ecosystem, and proficiency with CI/CD tools and containerization technologies. Knowledge of AI and ML frameworks is advantageous, as this role involves contributing to critical financial crime compliance projects within a regulated environment.

Skills

Python PySpark Apache_Spark Hadoop Kafka SQL ETL Docker Kubernetes CI/CD Git Flask FastAPI Jenkins Oracle MongoDB RESTful_APIs Parquet ORC S3 EMR Databricks Pytest TensorFlow PyTorch

What you'll do

  • Design and develop robust data pipelines using Python, PySpark, and Big Data technologies.
  • Analyze requirements to propose technical solutions for complex data engineering initiatives.
  • Write and optimize SQL queries and stored procedures for large-scale data warehousing.
  • Develop and enhance ETL processes to ensure data quality and timely delivery.
  • Research and integrate new technologies to improve development processes and solution capabilities.

What we're looking for

  • Extensive experience (10+ years) in developing enterprise-scale data platforms.
  • Expert-level proficiency in Python and PySpark for large-scale data processing.
  • Deep expertise in Apache Spark, Hadoop ecosystem, and distributed computing concepts.
  • Strong SQL skills and experience with relational and NoSQL databases.
  • Experience designing and consuming RESTful APIs using Python frameworks.
  • Proficiency with CI/CD tools, containerization technologies, and Git.
  • Unit testing and performance testing experience for Python and PySpark applications.

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