Python Developer with PL/SQL | Dallas / Tampa / Jersey City – onsite

Tech Mirrors; Tampa (FL); On-site; USD 143,270,000 - 157,597,000; Full time

Job summary

Tech Mirrors seeks a Senior Python Developer with PL/SQL to join our on-site teams in Dallas, Tampa, or Jersey City. You will bridge high‑performance backend automation with robust relational databases, building data-driven financial applications and scalable ETL processes.

You will implement and optimize REST APIs using FastAPI/Flask/Django, work with Pandas/NumPy/PySpark, and manage Oracle PL/SQL packages in a banking domain environment. Strong communication and teamwork are essential.

Qualifications

• 8+ years of software engineering experience, with BFSI domain exposure.
• Strong Python and Oracle PL/SQL expertise.
• Experience with Pandas, NumPy, PySpark and enterprise ETL tools.
• Deep knowledge of Oracle 12c/19c analytics functions and SQL.
• Front-end basics: HTML, CSS, JavaScript.
• REST APIs and microservices experience (FastAPI/Flask/Django).
• Excellent communication and teamwork skills.
• On-site in Dallas, Jersey City or Tampa; banking domain familiarity.

Responsibilities

• Develop backend Python applications with PL/SQL and Snowflake integration.
• Build and optimize data pipelines and ETL processes.
• Design scalable financial microservices and REST APIs.
• Tune database performance and manage complex SQL/PL/SQL logic.
• Coordinate with cross-functional teams to deliver features on time.

Skills

Python

PL/SQL

OOP

Multithreading

Asynchronous programming

Pandas

NumPy

PySpark

SQL

NoSQL

Kafka

RabbitMQ

IBM MQ

Docker

Kubernetes

AWS

Snowflake

Git

CI/CD

Education

Bachelor’s degree in computer science or related field

Tools

Oracle Database

Apache Airflow

FastAPI/Flask/Django

NumPy

Pandas

SciPy

PyTorch

HTML/CSS/JavaScript

Job description

Role:Python Developer with PL/SQL

Location:Dallas / Tampa / Jersey City – onsite

Duration:Long Term Contract

Rate:$50-55/hr. on c2c

Must have BFSI domain exp.

Python Developerwith PL/SQL

Core Technical Requirements

• Programming: Advanced Python (OOP, multi-threading, asynchronous programming) and Oracle PL/SQL.


• Data Processing: Pandas, NumPy, PySpark, and enterprise ETL toolsets.


• Databases: Oracle Database 12c/19c (including deep knowledge of analytical functions and collections).

Bachelor’s degree in computer science or a related field

In-depth knowledge of Python software development, including frameworks, tools, and systems (e.g., NumPy, Pandas, SciPy, PyTorch)

Proficiency with front-end development technologies, such as HTML, CSS, and JavaScript

Familiarity with database tools such as SQL and NoSQL and their best practices

Excellent communication and team-building skills

Role Descriptions:

Role – Senior Python Developer with PL/SQL & Snowflake | Location – Dallas / Jesrey City / Tampa Senior Python Developer with PL/SQL bridges high-performance backend automation with robust relational database management. Operating within the banking domain| you will build and scale data-driven financial applications| optimize complex transactional databases| and streamline extract-transform-load (ETL) data pipelines for critical systems like risk management| regulatory reporting| or payment processing.Backend & Data Automation (Python)Design| build| and optimize scalable financial microservices and REST APIs using FastAPI| Flask| or Django.Process massive transactional datasets using numerical libraries like Pandas| NumPy| and PySpark.Develop and maintain automated workflows| orchestrating jobs with Apache Airflow DAGs.Migrate legacy scripting structures (e.g.| Perl or Bash) into highly observable Python orchestration scriptsDatabase Programming & Optimization (Oracle PL/SQL)Design| develop| and maintain complex Oracle SQL and PL/SQL packages| stored procedures| triggers| and functions.Execute intensive database performance tuning using AWR reports| Explain Plans| and advanced indexing.Manage data partitioning strategies (e.g.| exchange partitions) to drastically cut data processing windows.Build data structures ensuring rigorous data integrity| audit trails| and strict transaction handlingCore Technical RequirementsProgramming: Advanced Python (OOP| multi-threading| asynchronous programming) and Oracle PL/SQL.Data Processing: Pandas| NumPy| PySpark| and enterprise ETL toolsets.Databases: Oracle Database 12c/19c (including deep knowledge of analytical functions and collections).Messaging & Events: Apache Kafka| RabbitMQ| or IBM MQ.DevOps & Cloud: Git| CI/CD pipelines (Jenkins/GitLab)| Docker| Kubernetes| and cloud environments like AWS or SnowflakeProfessional BackgroundExperience: Minimum of 8+ years of professional software engineering experience| with at least 3 years inside a financial institution or banking tier.

Education: Bachelors degree in Computer Science| Financial Engineering| Management Information Systems| or a related field