Senior Data Platform Engineer - Python & AWS Cloud

LPL Financial; Fort Mill (SC); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

401K Matching

Health Benefits

Employee Stock Options

Paid Time Off

Volunteer Time Off

Job summary

LPL Financial is seeking an experienced software engineer to design and develop scalable Python-based backend services on AWS, focusing on cloud-native data integration and movement. The role emphasizes building robust data pipelines with strong observability and reliability across the data platform.

The ideal candidate has 7+ years in software engineering with Python and AWS, and a solid history of delivering scalable REST APIs and data-centric solutions in enterprise environments.

Qualifications

• Requires a minimum of 7 years of software engineering experience with Python and AWS.
• Strong background in scalable backend services, REST APIs, and modern data platforms.
• Experience with serverless technologies and observability is preferred.

Responsibilities

• Design and develop scalable Python-based backend services on AWS.
• Build and enhance cloud-native data pipelines with improved observability.
• Advance the resilience and performance of enterprise data platforms.

Skills

Python

AWS

REST APIs

Data Pipelines

Serverless Architecture

Distributed Systems

CI/CD

Snowflake

Airflow

Databricks

Event-Driven Architecture

Backend Development

Data Integration

JavaScript

React

DevOps

Tools

Snowflake

Airflow

Databricks

React

JavaScript

CI/CD

Job description

LPL Financial is seeking an experienced software engineer to design and develop scalable Python-based backend services on AWS, focusing on cloud-native data integration and movement. The role emphasizes building robust data pipelines with strong observability and reliability across the data platform.

The ideal candidate has 7+ years in software engineering with Python and AWS, and a solid history of delivering scalable REST APIs and data-centric solutions in enterprise environments.