Senior Data Platform Engineer: PySpark, SQL & ETL

Citi; Jacksonville (FL); On-site; USD 107,000 - 161,000; Full time

Job summary

Citi in Irving, TX seeks a Senior Data Platform Engineer, AVP, to design, build, and optimize enterprise-scale data processing solutions using Python/PySpark, SQL Server, and SSIS. You will develop scalable ETL pipelines, optimize queries, and ensure data quality across large data platforms.

You will collaborate with engineering, infrastructure, and business teams, implement CI/CD and DevOps practices, and leverage AutoSys, Docker/Kubernetes, and Hadoop ecosystems to deliver reliable,

Qualifications

• Bachelor’s degree or equivalent experience in a relevant field.
• 4+ years in data engineering or related roles with Python/PySpark and SQL Server.
• Experience with ETL pipelines, SSIS, and large-scale data platforms.
• Knowledge of Hadoop ecosystem and data warehousing concepts.
• Proficient in debugging, performance tuning, and data quality controls.
• Experience with Git, CI/CD, and container tech like Docker/Kubernetes.

Responsibilities

• Design, develop, test, and support ETL/data-processing pipelines.
• Develop and optimize complex SQL queries and database objects.
• Improve query performance via execution plans, indexing, and design.
• Build platforms for large data volumes across distributed environments.
• Apply data modeling principles for scalable data solutions.
• Provide production support, root-cause analysis, and monitoring.
• Automate batch processing using scheduling tools like AutoSys.
• Collaborate with engineering, infra, and business teams.

Skills

Analytical thinking

Troubleshooting

Communication

Problem-solving

Mentoring

Education

Bachelor’s degree/University degree or equivalent experience

Tools

Python

PySpark

SQL Server

SSIS

ETL

Hadoop/HDFS/Hive

AutoSys

Git

CI/CD

Docker/Kubernetes

MongoDB

Job description

Citi in Irving, TX seeks a Senior Data Platform Engineer, AVP, to design, build, and optimize enterprise-scale data processing solutions using Python/PySpark, SQL Server, and SSIS. You will develop scalable ETL pipelines, optimize queries, and ensure data quality across large data platforms.

You will collaborate with engineering, infrastructure, and business teams, implement CI/CD and DevOps practices, and leverage AutoSys, Docker/Kubernetes, and Hadoop ecosystems to deliver reliable,