VP-Track Senior Data Engineer: AI-Driven Pipelines

Citigroup Inc.; Irving (TX); On-site; USD 96,000 - 161,000; Full time

Job summary

Citigroup Inc. is seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines and AI-enabled data solutions. The role emphasizes collaboration across teams, data quality, and the application of advanced Big Data tools.

You will work on data mesh/federation initiatives, microservices, and ensure secure, compliant data handling as part of a Trustworthy data platform strategy in a fast-paced environment.

Qualifications

• 8+ years in Big Data or enterprise app development with scalable tools.
• 5+ years in a Data Engineering lead role focused on data mesh/federation.
• Strong data modeling, warehousing concepts, and best practices.
• Experience with ETL/ELT and microservices frameworks.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Hadoop, Spark, Kafka, Hive, Parquet, and Avro.
• Implement ETL/ELT processes for ingestion, cleansing, and loading data into warehouses and lakes.
• Develop microservices-based architectures for data-intensive apps.
• Ensure data quality, integrity, and security throughout the lifecycle.
• Collaborate across teams and translate complex data concepts for stakeholders.
• Apply AI/ML techniques to real-world business challenges.
• Lead data engineering initiatives and drive best practices.

Skills

Big Data

Python

Java

Scala

Spark

Hadoop

Kafka

SQL

Cloud platforms

AI/ML basics

Education

Bachelor's degree in computer science & engineering

Master's degree is a plus

Tools

Databricks

Starburst

Hadoop

Spark

Hive

Kafka

Parquet

Avro

Docker

Kubernetes

Job description

Citigroup Inc. is seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines and AI-enabled data solutions. The role emphasizes collaboration across teams, data quality, and the application of advanced Big Data tools.

You will work on data mesh/federation initiatives, microservices, and ensure secure, compliant data handling as part of a Trustworthy data platform strategy in a fast-paced environment.