Sr. Data Engineer - Assistant Vice President

Citi

Remote Actively hiring Verified listing

Remote, USA · Irving, TX Posted 10 days ago

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At a glance

AI generated

TL;DR

As a Data Engineer at our Data Engineering/Consumer Data Platform team, you will play a crucial role in designing and maintaining scalable data pipelines using Big Data technologies such as Hadoop, Spark, Kafka, and Hive. Your day-to-day responsibilities include developing ETL processes for data ingestion and transformation into various data stores, implementing AI techniques to enhance efficiency, and ensuring data quality and security. You will also contribute to the continuous improvement of data engineering standards and best practices while effectively communicating technical concepts to both technical and non-technical stakeholders. Ideal candidates have 8+ years of experience in Big Data development with a focus on data federation and microservices-based architectures, proficiency in Python, Java, or Scala, and hands-on experience with cloud platforms like AWS, Azure, or GCP. This role involves working on complex data challenges to drive customer engagement and growth within the banking retail sector.

Skills

Hadoop Spark Kafka Hive Parquet Avro Python Scala Java Databricks Microservices AI ML Deep Learning NLP SQL Docker Kubernetes Data Mesh 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 lifecycle.
Contribute to continuous improvement of data engineering processes and standards.

What we're looking for

8+ years of experience in Big Data development using scalable tools like Databricks, Scala, Java, and Python.
Minimum 5+ years as a Data Engineering lead with expertise in data federation and extraction for data mesh architecture.
Deep understanding of data modeling, warehousing concepts, and best practices.
Expertise in designing and maintaining data pipelines using Hadoop, Spark, Hive, Kafka, and related ecosystems.
Proficiency in at least one programming language (Python, Java, Scala) commonly used for data engineering.
Practical experience with ETL/ELT tools, microservices frameworks, AI/ML techniques, and containerization technologies.

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.

Citi

Remote (480 Washington Boulevard Jersey City, US) 20 days ago $176,720–$265,080

Python Scala SQL AWS GCP Azure Hadoop Hive Impala Apache_Spark Kafka Flink Airflow Dagster Prefect PostgreSQL Oracle MongoDB Cassandra CI/CD Jenkins GitLab_CI GitHub_Actions

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