Senior Programmer Analyst, Applications Development – Assistant Vice President

Citi

full-time

Posted on: 10/1/2025

Location Type: Hybrid

Location: Irving • Florida, Texas • 🇺🇸 United States

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💰 $107,120 - $160,680 per year

Senior

ApacheAWSCloudDockerHadoopHDFSJavaKafkaKubernetesMapReducePySparkPythonScalaSpark

About the role

Design and develop Big data solutions and pipelines in Hadoop or Snowflake
Partner with domain experts, product managers, analysts, and data scientists to develop Big Data pipelines
Deliver data as a service framework and move legacy workloads to cloud platform
Discuss requirements with stakeholders, document dataflow and capture requirements
Recommend and implement access right solutions and best practices
Build client pipelines using heterogeneous sources and provide engineering services for data science applications
Research and integrate open-source technologies into design and implementation
Mentor team members on Big Data and Cloud tech stacks
Define maintainability, testability, performance, security, quality and usability needs for data platform
Drive implementation of consistent patterns, reusable components, and coding standards
Convert SAS based pipelines into PySpark/Scala for Hadoop and non-Hadoop ecosystems
Tune Big data applications for optimal performance
Evaluate IT developments and recommend system enhancements
Supervise day-to-day staff management including resource management, work allocation, mentoring/coaching

5+ years of experience in hadoop/big data technologies
3+ years of experience in PySpark
2+ years experience in Snowflake preferable
2+ year of experience working on Google or AWS cloud developing data solutions
Certifications preferred
Hands-on experience with Python/Pyspark/Scala and basic libraries for machine learning
Experience with containerization and related technologies (e.g. Docker, Kubernetes) is a plus
1 year Hadoop administration experience preferred
1+ year of SAS experience preferred
Comprehensive knowledge of the principles of software engineering and data analytics
Advanced knowledge of the Hadoop ecosystem and Big Data technologies
Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr)
Knowledge of agile (scrum) development methodology is a plus
Strong development/automation skills
Proficient in programming in Java or Python with prior Apache Beam/Spark experience a plus
System level understanding - Data structures, algorithms, distributed storage & compute
Bachelor’s degree/University degree or equivalent experience

Benefits

discretionary and formulaic incentive and retention awards
medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages (planned time off/vacation, unplanned time off/sick leave, paid holidays)
competitive employee benefits

Tip: use these terms in your resume and cover letter to boost ATS matches.

HadoopSnowflakePySparkScalaPythonSASDockerKubernetesMapReduceSpark

mentoringstakeholder communicationresource managementwork allocationcoaching

Big Data certifications