Applications Development Senior Programmer Analyst - Assistant Vice President

Citi; Irving (TX); On-site; USD 107,000 - 161,000; Full time

Job summary

Citi is hiring an Applications Development Senior Programmer Analyst in Irving, TX to design and implement scalable data pipelines using PySpark, Spark SQL, and Databricks. The role spans data platforms across AWS, Azure, or GCP and includes governance, security, and collaboration with data scientists.

The ideal candidate will have 4–7 years in data engineering, strong Python experience, and hands-on Databricks/Snowflake knowledge. This full-time role sits in Irving with competitive benefits.

Qualifications

• Bachelor's degree or higher in a related field.
• Experience with data engineering and large-scale pipelines is required.
• Strong hands-on experience with Python, PySpark, Spark SQL and Databricks.

Responsibilities

• Develop and maintain scalable ETL/ELT pipelines with PySpark/Spark SQL and Delta Lake on Databricks.
• Support data platforms across AWS, Azure, or GCP.
• Collaborate with data scientists and ML teams to enable AI/ML pipelines.
• Ensure data governance, quality, lineage, and security compliance.

Skills

Python

PySpark

Spark SQL

Databricks

Snowflake

Starburst/Trino

Cloud platforms (AWS/Azure/GCP)

Data governance

Agile/Scrum

Problem-solving

Education

Bachelor's degree in Computer Science/Engineering/Information Technology

Master's degree

Tools

Ab Initio

Databricks

Snowflake

Starburst/Trino

Apache Iceberg

Cloud services (Glue/ADF/Dataflow/BigQuery/Redshift/Synapse)

Job description

The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.

Responsibilities

• Develop and maintain scalable ETL/ELT pipelines using PySpark, Spark SQL, and Delta Lake on Databricks.
• Support implementation and management of data platforms across AWS, Azure, or GCP.
• Work with big data technologies such as Databricks, Snowflake, and Apache Iceberg to process large datasets.
• Optimize Spark workloads through performance tuning, partitioning strategies, and cost-efficient processing.
• Contribute to Lakehouse architecture implementation, ensuring data quality, consistency, and reliability.
• Assist in implementing data federation solutions using Starburst/Trino across multiple data sources.
• Support data governance initiatives, including data quality checks, lineage tracking, metadata management, and adherence to enterprise standards.
• Ensure compliance with data security and governance policies, including access controls (RBAC) and auditability.
• Perform troubleshooting and performance optimization for data pipelines and queries.
• Support data modeling for analytics, reporting, and downstream consumption.
• Collaborate with data scientists and ML teams to enable pipelines for AI/ML and RAG-based use cases.
• Participate in Agile processes, including sprint planning, stand-ups, and retrospectives.
• Work with stakeholders to gather requirements and deliver data solutions aligned with business needs.

Recommended Qualifications

• 4–7 years of experience in Data Engineering or related roles.
• Strong hands-on experience with Python, PySpark, and Spark SQL.
• Experience with Databricks (Delta Lake, performance tuning).
• Working knowledge of Ab Initio (GDE, Co>Operating System, Conduct>It).
• Experience with Snowflake for data warehousing and analytics.
• Familiarity with Starburst/Trino and data federation concepts.
• Exposure to Apache Iceberg or similar open table formats.
• Hands-on experience with at least one cloud platform (AWS, Azure, or GCP) and related data services (e.g., Glue, ADF, Dataflow, Redshift, Synapse, BigQuery).
• Understanding of data governance frameworks, including data quality, lineage, cataloging, and security principles.
• Experience supporting data pipelines for analytics and machine learning workloads.
• Familiarity with Agile/Scrum methodologies.
• Strong problem-solving, collaboration, and communication skills.

Education

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
• Master's degree is a plus but not required.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Job Family Group

Technology

Job Family

Applications Development

Time Type

Full time

Primary Location

Irving Texas United States

Primary Location Full Time Salary Range

$107,120.00 - $160,680.00

In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Anticipated Posting Close Date

Sep 30, 2026

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

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