Senior Data Analytics Engineer — Cloud Pipelines & AI

Citigroup; Irving (TX); Hybrid; USD 130,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Citi is seeking a Data Analytics Lead Engineer to design, build, and operate scalable data pipelines and cloud-based data architectures for Lending (Mortgage and Personal Loans). The role is hands-on and involves production-grade data systems across big data platforms and data lakes, with AI/ML integration as a capability.

You will develop, monitor, and optimize pipelines, ensure data quality, and collaborate with analysts and governance teams to translate business needs into robust technical

Qualifications

• 6+ years of hands-on experience building and managing data pipelines, data warehouses, and data lake solutions.
• Experience with cloud data platforms and scalable ETL/ELT processes.
• Fluency in Python, Scala, or Shell scripting for data engineering and automation tasks.

Responsibilities

• Build end-to-end data pipelines for large-scale lending datasets with high reliability and performance.
• Design scalable cloud data architectures across data lakes, warehouses, and streaming environments.
• Architect data schemas to meet performance and business requirements; optimize SQL queries for large datasets.

Skills

Data pipelines

Data warehouses

Data lakes

Apache Spark

PySpark

Databricks

SQL

Python

Airflow

Hadoop

Education

Bachelor's degree or equivalent

Master's degree preferred

Tools

Databricks

Snowflake

Airflow

Autosys

Tableau

Cognos

Job description

Citi is seeking a Data Analytics Lead Engineer to design, build, and operate scalable data pipelines and cloud-based data architectures for Lending (Mortgage and Personal Loans). The role is hands-on and involves production-grade data systems across big data platforms and data lakes, with AI/ML integration as a capability.

You will develop, monitor, and optimize pipelines, ensure data quality, and collaborate with analysts and governance teams to translate business needs into robust technical