The Senior Data Developer role is part of a small, co-located, high-performing squad within the banking sector, focusing on developing and implementing robust data solutions in the Hadoop ecosystem and real-time streaming platforms. This hands-on position involves creating scalable data pipelines with Apache Kafka, optimizing Hadoop clusters for performance, and ensuring data security and governance compliance. The ideal candidate will have extensive experience with big data technologies, AI/ML tools like Devin and Copilot, Python, PySpark, Unix, and SQL, as well as familiarity with cloud platforms such as AWS, Azure, and Google Cloud. They must also possess a deep understanding of the banking domain’s regulatory standards and be adept at mentoring team members while driving innovation through AI-first practices.
Skills
Hadoop
Apache Kafka
Python
PySpark
SQL
AWS
Azure
Google Cloud
Spark
AI/ML
MLOps
CI/CD
Devin
Copilot
Unix
Dimensional Modeling
ETL
Data Warehousing
Generative AI
Kubernetes
Terraform
What you'll do
Develop and implement scalable data solutions within the Hadoop ecosystem.
Manage complex Hadoop-based data pipelines and real-time streaming solutions.
Implement robust real-time data streaming using Apache Kafka.
Optimize Hadoop clusters for performance, scalability, and resource utilization.
Maintain and monitor Hadoop and streaming infrastructure for high availability.
Integrate AI/ML capabilities within data pipelines and mentor team members.
Participate in MLOps initiatives to streamline machine learning lifecycle.
What we're looking for
7+ years of hands-on experience in developing and optimizing complex Hadoop-based data platforms.
Deep expertise in real-time data streaming technologies like Apache Kafka with a track record of performance optimization.
Strong proficiency in AI/ML lifecycle management, MLOps practices, and integrating ML models into data solutions.
Extensive knowledge of the Hadoop ecosystem including HDFS, YARN, MapReduce, Hive, HBase, and Spark.
Practical experience with modern AI coding tools for accelerated development and hands-on use of Python, PySpark, Unix, SQL.
Proven ability to deliver end-to-end projects in complex data initiatives within the banking domain.
Market check
Salary context
This
$107,120–$160,680
range sits above
29%
of similar postings on FindRole.
Peer median band
$117,500–$187,420
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$130,562–$178,631
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
336 open roles
on FindRole.
Listed pay typically runs
$125,760–$188,640
across 308 roles with salary data.