Tech Lead, Data & Analytics Apps Dev (PySpark/Java)

Citigroup Inc.; Irving (TX); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical, dental & vision coverage

401(k)

Life, accident, and disability insurance

Paid time off packages

Job summary

A global financial services firm in the United States is seeking an experienced Data Engineer to lead complex problem resolution and drive technical innovations. This role requires 6-10 years of experience with strong proficiency in Java, PySpark, and SQL. The successful candidate will mentor junior developers while implementing data architectures and optimizing scalable data solutions. The position offers competitive benefits including health insurance, 401(k), and generous paid time off.

Qualifications

• 6-10 years of experience in systems analysis and programming.
• Experience with real-time data streaming using PySpark Structured Streaming.
• Knowledge of machine learning concepts and MLOps practices.
• Strong understanding of algorithms and data structures.
• Excellent analytical and communication skills.

Responsibilities

• Translate business requirements into technical solutions.
• Lead resolution of complex problems.
• Ensure adherence to coding standards.
• Mentor juniors and lead collaborative teams.
• Design and optimize data architectures and pipelines.

Skills

Java application technologies

PySpark

Python programming

Big Data ecosystems

SQL

Agile methodologies

Angular 21+ / ReactJS

Data quality governance

Docker

Kubernetes

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Apache Airflow

Cloudera

Databricks

Starburst

Rest APIs

Linux

Job description

A global financial services firm in the United States is seeking an experienced Data Engineer to lead complex problem resolution and drive technical innovations. This role requires 6-10 years of experience with strong proficiency in Java, PySpark, and SQL. The successful candidate will mentor junior developers while implementing data architectures and optimizing scalable data solutions. The position offers competitive benefits including health insurance, 401(k), and generous paid time off.