Applications Development Senior Programmer Analyst - Assistant Vice President

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Automated Processing and AI

Qualifications

• Experience with Databricks (Delta Lake, performance tuning).
• Experience with Snowflake for data warehousing and analytics.
• Familiarity with Starburst/Trino and data federation concepts.
• 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).
• Familiarity with Agile/Scrum methodologies.
• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.

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.
• 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.
• 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.
• Technology
• Applications Development
• Full time
• Irving Texas United States
• $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.
• Please see the requirements listed above.
• For complementary skills, please see above and/or contact the recruiter.
• Nov 30, 2026
• 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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