Applications Development Senior Programmer Analyst, Assistant Vice President

Citi

Confirmed live yesterday High trust

Closes in 6 days

Quick summary

Work type: On-site
Location: Irving, TX
Salary: $107,120–$160,680 / yr
Posted: 6 days ago
Freshness: Confirmed live yesterday
Closes: Sep 30, 2026 (soon)
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $159k

This role $134k

$96k most similar roles pay here $214k

This role pays less than 73% of similar roles. Most pay $133,900–$185,000 — the shaded band above. At the midpoint, this role pays about $134k versus about $159k 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 265 open roles on FindRole.

Listed pay typically runs $138,720–$208,080 across 247 roles with salary data.

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At a glance

TL;DR · Applications Development Senior Programmer Analyst, Assistant Vice President

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The Applications Development Senior Programmer Analyst - Assistant Vice President is an intermediate level position within the Technology team focused on systems analysis and programming activities. The role involves developing and maintaining scalable ETL/ELT pipelines, implementing Lakehouse architectures, and managing data platforms across AWS, Azure, or GCP. Key responsibilities include optimizing Spark workloads, ensuring data quality and governance, and supporting data modeling for analytics and machine learning use cases like RAG-based systems. The candidate will utilize a technical stack including Python, PySpark, Spark SQL, Databricks, Delta Lake, Snowflake, Apache Iceberg, Starburst/Trino, and Ab Initio. This role addresses complex data engineering challenges by ensuring data consistency, lineage tracking, and security compliance while collaborating in Agile environments to deliver robust data solutions for downstream consumption and advanced analytics across various enterprise platforms.

Skills

PySpark Spark SQL Databricks Delta Lake Python Snowflake Apache Iceberg Starburst Trino AWS Azure GCP Ab Initio ETL ELT Agile Scrum RAG SQL

What you'll do

Develop and maintain scalable ETL/ELT pipelines using PySpark, Spark SQL, and Delta Lake on Databricks.
Manage data platforms across AWS, Azure, or GCP while processing large datasets with Snowflake and Apache Iceberg.
Optimize Spark workloads through performance tuning, partitioning strategies, and cost-efficient processing techniques.
Implement data federation solutions using Starburst/Trino to integrate multiple data sources.
Execute data governance initiatives including quality checks, lineage tracking, metadata management, and security controls.
Perform troubleshooting and performance optimization for complex data pipelines and queries.
Support data modeling for analytics, reporting, and downstream consumption by various business units.
Build data pipelines to support AI/ML models and RAG-based use cases in collaboration with data science teams.

What we're looking for

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
Master's degree (preferred).
4–7 years of experience in Data Engineering or related roles.
Strong hands-on experience with Python, PySpark, and Spark SQL.
Experience with Databricks including Delta Lake and performance tuning.
Working knowledge of Ab Initio (GDE, Co-Operating System, Conduct-It).
Experience with Snowflake for data warehousing and analytics.
Hands-on experience with at least one cloud platform (AWS, Azure, or GCP) and related data services.

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