Senior Data Engineer, Citi

Citi

Location:
United States, Irving ▼
Jacksonville

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

107120.00 - 160680.00 USD / Year

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Job Description:

This Senior Data Engineer is responsible for building solutions to build Data Engineering Solutions using next-generation data techniques. The position involves liaising between business users and technologists to exchange information about solutions, including requirements and usage information.

Job Responsibility:

Design and development of Big Data solutions
partner with domain experts, product managers, analysts, and data scientists to develop Big Data pipelines in Hadoop or Snowflake
deliver data as a service framework
move all legacy workloads to cloud platform
discuss requirements with key stakeholders, document dataflow, and capture requirements
access the right solution, recommend implementation strategies
work with data scientist to build client pipelines using heterogeneous sources and provide engineering services for data science applications
research and assess open-source technologies and components to recommend and integrate into the design and implementation
be the technical expert and mentor other team members on Big Data and Cloud Tech stacks
define needs around maintainability, testability, performance, security, quality, and usability for the data platform
drive implementation of consistent patterns, reusable components, and coding standards for data engineering processes
convert SAS-based pipelines into languages like PySpark, Scala to execute on Hadoop and non-Hadoop ecosystems
tune Big Data applications on Hadoop and non-Hadoop platforms for optimal performance
evaluate new IT developments and evolving business requirements, recommend system enhancements
supervise day-to-day staff management issues, work allocation, mentoring/coaching, and other related duties
appropriately assess risk when making business decisions, ensuring compliance with applicable laws, rules, and regulations, and managing control issues with transparency

Requirements:

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 is required
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
can-do attitude on solving complex business problems, good interpersonal and teamwork skills
Bachelor’s degree/university degree or equivalent experience

Nice to have:

experience with containerization and related technologies (e.g. Docker, Kubernetes)
knowledge of agile (scrum) development methodology
prior Apache Beam/Spark experience

What we offer:

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

Additional Information:

Job Posted:
September 05, 2025

Expiration:
September 11, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Senior Data Engineer