Data Engineer (Databricks, Spark, Python)

Data Engineer (Databricks, Spark, Python)

Employment Type : W2 Only

Work Model: Hybrid - 3 Days Onsite / Week

Locations:

Irving, TX

Tampa, FL

Jersey City, NJ

Wilmington Delaware

Job Description We are looking for an experienced Data Engineer with strong hands-on expertise in Databricks, Apache Spark, and Python to support enterprise-scale data engineering initiatives for Infosys/Citi.

The ideal candidate should have solid experience building scalable data pipelines, working with large datasets, and supporting cloud-based data platforms.

Required Skills 6 to 8 years of overall IT experience in Data Engineering

Strong hands-on experience with Databricks

Expertise in PySpark

Strong programming skills in Python

Experience building ETL/ELT pipelines and data transformation workflows

Good knowledge of SQL and relational databases

Experience working with large-scale structured and unstructured data

Exposure to cloud platforms such as AWS

Strong problem-solving and debugging skills

Excellent communication and stakeholder management skills

Preferred Skills Experience in Banking/Financial domain preferred

Knowledge of CI/CD pipelines and version control tools like Git

Familiarity with Delta Lake, data warehousing, and orchestration tools

Responsibilities Design, develop, and optimize scalable data pipelines

Build and maintain Databricks-based data solutions

Develop Spark/PySpark jobs for large-scale data processing

Collaborate with cross-functional teams including business analysts, architects, and data scientists

Ensure data quality, performance optimization, and production support

Note:

W2 candidates only

Must be comfortable with 3 days onsite hybrid model

Local candidates or candidates willing to relocate preferred