SR. Data Engineer - Assistant Vice President

Citi

Remote Actively hiring Verified listing
Remote, USA · Irving, TX Posted 10 days ago

At a glance

AI generated

TL;DR

As a Data Engineer at our Data Engineering/Consumer Data Platform team, you will play a pivotal role in designing and maintaining scalable data pipelines using Big Data technologies such as Hadoop, Spark, Kafka, Hive, and Parquet. Your responsibilities include developing ETL processes for data ingestion into warehouses and lakes, implementing AI techniques like machine learning to enhance decision-making, and ensuring data quality and security. You will also contribute to the continuous improvement of data engineering standards and communicate technical solutions effectively across teams. Ideal candidates have 8+ years of experience in Big Data development with a focus on data federation and extraction, expertise in Python, Java, or Scala, and hands-on experience with microservices frameworks like Docker and Kubernetes. This role involves working on large-scale applications for the banking retail sector, including cards, mortgages, deposits, and wealth management products.

Skills

Hadoop Spark Kafka Hive Python Scala Java Databricks ETL ELT Microservices AI ML DeepLearning NLP SQL Docker Kubernetes AWS Azure GCP DataMesh Starburst

What you'll do

  • Design and maintain scalable data pipelines using Big Data technologies.
  • Implement ETL/ELT processes for data ingestion, cleansing, and transformation.
  • Build data federations layers for lambda architecture using AI techniques.
  • Develop microservices-based architectures to support data-intensive applications.
  • Ensure data quality, integrity, and security throughout the data lifecycle.
  • Apply AI/ML techniques to solve real-world business challenges.

What we're looking for

  • 8+ years of experience in Big Data or large-scale enterprise app development.
  • Minimum 5+ years as a Data Engineering lead with expertise in data federation and extraction.
  • Proficiency in designing and maintaining data pipelines using Hadoop, Spark, Kafka, Hive.
  • Hands-on experience with ETL/ELT tools and microservices frameworks.
  • Practical application of AI/ML techniques to solve real-world problems.
  • Strong SQL skills and familiarity with relational databases and cloud-based Big Data platforms.

Market check

Salary context

This listing doesn't show a salary. Similar roles on FindRole typically pay $125,600–$188,750.

Peer median band

$125,600$188,750

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$133,900$183,337

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 336 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 308 roles with salary data.

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View all roles at Citi

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