Python Data Engineer

About the Job

PYTHON DATA ENGINEER – Banking & Financial Services

Location: Dallas, Texas or New Jersey

Work Arrangement: Hybrid – 3 Days Onsite per Week (Mandatory)

Employment Type: Full-Time

Experience Required: 7 Years Overall | 4 Years Relevant

Employment: Direct Employment

About the Company

Rhaenise Talent is hiring on behalf of SCADEA for a Python Data Engineer position supporting its banking and financial services client. The selected candidate will be employed directly by SCADEA.

About the Role

We are seeking an experienced Python Data Engineer with strong hands-on expertise in Python, PySpark, SQL, Oracle, and ETL/ELT data pipelines.

The ideal candidate will have experience building, optimizing, and maintaining enterprise data processing solutions, with a strong understanding of data transformation, performance optimization, and production support.

Key Responsibilities

• Develop and maintain scalable data pipelines using Python and PySpark.
• Design and implement ETL/ELT workflows for enterprise data processing.
• Write and optimize SQL queries for Oracle databases.
• Perform data transformations, joins, partitioning, and data validation.
• Troubleshoot data processing issues and optimize pipeline performance.
• Collaborate with application, database, QA, and DevOps teams.
• Support production data workflows and ensure data quality and reliability.

Required Qualification & Technical Skills

• 7 years of overall IT experience with 4 years of relevant experience.
• Strong hands-on experience with Python and PySpark.
• Strong SQL and Oracle database expertise.
• Experience developing ETL/ELT pipelines and data processing workflows.
• Good understanding of Spark transformations, joins, partitioning, and performance tuning.
• Experience with data quality checks, troubleshooting, and production support.
• Banking or financial-services experience preferred.

Preferred Skills

• Databricks
• AWS / Azure
• Apache Kafka
• Apache Airflow
• Snowflake
• Generative AI / ML

Key Skills: Python, PySpark, SQL, Oracle, ETL/ELT, Data Engineering

How to Apply?

Interested candidates meeting the above requirements are encouraged to apply with an updated resume highlighting their Python, PySpark, SQL, Oracle, and enterprise data engineering experience.

• Candidates must be able to meet the mandatory hybrid work requirements in Dallas, Texas or New Jersey.

Requirements added by the job poster

• 7 years of experience in Information Technology
• 4 years of relevant Data Engineering experience
• Experience with Python and PySpark