Data Analytics Lead Engineer

Citi; New York (NY); Hybrid; USD 126,000 - 189,000; 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 architectures for Lending, Mortgage and Personal Loans. This is a hands-on role that delivers production-grade data systems across data lakes and cloud platforms, with an eye toward AI/ML integration.

You will work across big data platforms, optimize SQL and schemas, and collaborate with Data Governance and Analysts to ensure reliable, scalable data delivery and governance.

Qualifications

• 6+ years of hands-on experience building and managing data pipelines, data warehouses, and data lake solutions.
• Experience with cloud data platforms and ETL/ELT workflow automation.
• Proficiency in Python/Scala/Shell scripting for data engineering tasks.
• Strong SQL skills and data modeling knowledge for relational and non-relational stores.
• Experience with workflow scheduling tools like Airflow or Autosys.
• Familiarity with DevOps practices and data visualization tools like Tableau or Cognos.

Responsibilities

• Build, deploy, and manage end-to-end data pipelines for lending datasets.
• Design scalable cloud data architectures across data lakes and warehouses.
• Implement data schemas and optimize queries for performance.
• Monitor data quality and resolve pipeline issues.
• Apply generative AI to accelerate coding, query optimization, and data summarization.
• Collaborate with analysts and governance teams to translate requirements into technical solutions.

Skills

Data pipelines

Cloud data platforms

SQL

Python/Scala

ETL/ELT

Airflow

DevOps practices

Data visualization

Education

Bachelor's degree or equivalent

Master's degree preferred

Tools

Hadoop

Apache Spark

Databricks

Delta Lake

Hive

Impala

Iceberg

Snowflake

Airflow

Autosys

Job description

Data Analytics Lead Engineer

Location(s):

Irving, Texas, United States

Job Type:

Hybrid

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

Citi is looking for a Data Analytics Lead Engineer to design, build, and operate scalable data pipelines and cloud-based data architectures within our Lending business, spanning Mortgage and Personal Loans. This is a hands-on data engineering role where you will develop and maintain production-grade data systems — working across big data platforms, data lakes, and cloud infrastructure — that directly power lending analytics at scale. You will also bring an understanding of AI and ML integration as an additional capability applied within a strong data engineering foundation.

Responsibilities

• Build, deploy, and manage end-to-end data pipelines that ingest, transform, and deliver large-scale lending datasets across Mortgage and Personal Loans with high reliability and performance.
• Design and implement scalable data architectures on cloud platforms, selecting the right tools and approaches across data lakes, data warehouses, and streaming environments.
• Architect and implement data schemas - choosing from relational, dimensional, normalized, or partitioned models - to meet performance, scalability, and business requirements.
• Write and optimize complex SQL queries against large-scale datasets, applying sound decisions around distributed and parallel processing to improve pipeline efficiency.
• Monitor, diagnose, and resolve operational and data quality issues across pipelines to ensure accuracy, completeness, and timely delivery of data.
• Apply generative AI tools to accelerate core engineering tasks such as code generation, query optimization, and data summarization where appropriate.
• Contribute to data engineering standards and collaborate with Business Analysts, Data Engineers, and Data Governance teams to translate business requirements into robust technical solutions.

Required Qualifications & Skills

• 6+ years of hands-on experience building and managing data pipelines, data warehouses, and data lake solutions using technologies such as Hadoop, Apache Spark, PySpark, Databricks, Delta Lake, Hive, Impala, and Iceberg.
• Practical experience with cloud data platforms including Snowflake, Cloudera, used to build and automate ETL and data ingestion workflows.
• Fluency in one or more scripting languages - Python, Scala, or Shell Scripting - applied actively to data engineering, pipeline development, and automation tasks.
• Strong ability to design and query relational and non-relational data stores, with a clear understanding of schema design trade-offs and data modelling principles.
• Hands-on experience with workflow scheduling tools such as Autosys or Apache Airflow to manage and orchestrate data pipeline execution.
• Confident use of DevOps practices including version control, build tools, unit testing, monitoring, and change management to support reliable and repeatable delivery.
• Experience with data visualization platforms such as Tableau, Cognos to support data presentation and reporting needs.
• A Bachelor's degree or equivalent university qualification; a Master's degree is preferred.

Beneficial Skills & Qualifications

• Exposure to cloud-based AI and ML services such as Amazon SageMaker, Azure Machine Learning, or Google AI Platform, used to integrate predictive models within data pipelines.
• Familiarity with NoSQL database technologies such as HBase, MongoDB, Couchbase, Cassandra, or Neo4j.
• Databricks certification or cloud platform certification in AWS, Azure, or GCP.
• A proactive approach to troubleshooting - able to independently investigate root causes and resolve pipeline or data issues with thoroughness and pace.

What We Offer

At Citi, you will work as a practicing data engineer at the center of one of the world's largest financial institutions, solving complex, real-world data challenges across lending products that serve millions of customers globally. We offer the technical scale and team environment to do meaningful engineering work, alongside the flexibility and investment to support your continued growth.

• Hybrid working model with 3 days in the office and 2 days working remotely, providing flexibility alongside team collaboration.
• Access to large-scale, complex data environments and modern cloud infrastructure where your engineering decisions have direct business impact.
• Continuous learning and technical development support, including backing for cloud and platform certifications relevant to your work.
• A collaborative team of data engineers, analysts, and business partners where hands-on technical contribution is valued and visible.
• Competitive compensation and a comprehensive benefits package designed to support your financial and personal wellbeing.

Build the data foundations that power real lending decisions at global scale — to join Citi's Lending Analytics engineering team.

Job Family Group:

Technology

Job Family:

Data Analytics

Time Type:

Full time

Primary Location:

Irving Texas United States

Primary Location Full Time Salary Range:

$125,760.00 - $188,640.00

In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

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