This role pays less than
76%
of similar roles. Most pay
$138,375–$215,587
— the shaded band above.
At the midpoint, this role pays about
$134k
versus about
$177k
for comparable roles.
Based on 240 similar postings.
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
391 open roles
on FindRole.
Listed pay typically runs
$125,760–$188,640
across 361 roles with salary data.
As a Data Solutions Engineer at an intermediate level within the Technology team, you will play a crucial role in designing and developing Big Data solutions by partnering with domain experts to create robust pipelines in Hadoop or Snowflake environments. Your daily tasks include delivering data-as-a-service frameworks, migrating legacy workloads to cloud platforms, and collaborating with stakeholders to document requirements and specifications. You will also mentor team members on Big Data and Cloud technology stacks while ensuring the implementation of consistent patterns and coding standards for all processes. The ideal candidate has 5+ years of experience with Hadoop and Big Data technologies, proficiency in Python, PySpark, Scala, and SAS, and familiarity with containerization tools like Docker and Kubernetes. Additionally, knowledge of Agile methodologies and strong development skills are essential as you work on optimizing applications for peak performance and evaluating new IT developments to enhance current systems.
PySpark
Azure Databricks
Azure DevOps
Git
Terraform
Delta Live Tables
Great Expectations
Power BI
Tableau
SQL Server
CosmosDB
Neo4j
CI/CD
Airflow
Azure Data Factory