Senior Data Platform Engineer Assistant Vice President

Citi

Remote

Quick summary

Work type: Remote
Location: Irving, TX
Salary: $107,120–$160,680 / yr
Posted: 6 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $180k

This role $134k

$95k most similar roles pay here $224k

This role pays less than 85% of similar roles. Most pay $155,000–$205,000 — the shaded band above. At the midpoint, this role pays about $134k versus about $180k 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 386 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 357 roles with salary data.

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At a glance

TL;DR · Senior Data Platform Engineer Assistant Vice President

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As a Senior Data Platform Engineer at the Technology team, you will play a crucial role in designing and implementing scalable data solutions using Python and PySpark. Your day-to-day responsibilities include building robust ETL pipelines with tools like Microsoft BI/SSIS and IBM DataStage, managing RDBMS (T-SQL/PL/SQL) and NoSQL databases such as MongoDB, and working within the Hadoop ecosystem including Cloudera. You will also contribute to data architecture and modeling, ensuring scalable solutions through dimensional modeling and normalization techniques. Additionally, you will implement CI/CD pipelines using Git, Docker, and Kubernetes, participate in code reviews, and manage data workflows with enterprise scheduling tools like Autosys. This role requires expertise in big data platforms, database management, and secure data connectivity tools such as Connect Direct and SSH Tectia, along with experience in AI-driven development for efficient coding practices.

Skills

Python PySpark HDFS Hive Pig Sqoop Cloudera T-SQL PL/SQL MongoDB Git Docker Kubernetes CI/CD Tableau Autosys Connect Direct SSH Tectia DevOps

What you'll do

Design and implement scalable data pipelines using Python/PySpark.
Manage RDBMS and NoSQL databases with advanced proficiency in T-SQL/PL/SQL and MongoDB.
Develop and maintain big data solutions utilizing Hadoop ecosystem technologies like Cloudera.
Ensure robust data architecture through dimensional modeling and normalization practices.
Implement CI/CD pipelines and automate deployment using Docker/Kubernetes.
Contribute to code reviews and enforce coding standards for high-quality software development.

What we're looking for

5+ years of experience as a data engineer with expertise in Python/PySpark and ETL tools.
Advanced proficiency in RDBMS (T-SQL/PL/SQL) and NoSQL databases like MongoDB.
Extensive experience with Hadoop ecosystem technologies, including Cloudera.
Solid understanding of data warehousing, dimensional modeling, and normalization techniques.
Ability to implement CI/CD pipelines and use Git for version control.
Experience in contributing to code quality standards and participating in code reviews.

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