Hybrid Cloud Data Engineer — AWS Redshift & ETL Expert

Raymond James Financial, Inc.; Saint Petersburg (FL); Hybrid; USD 110,000 - 165,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Raymond James Financial, Inc. is seeking a data engineering professional to design and implement scalable ETL pipelines in a hybrid work setting. The role focuses on AWS Glue, PySpark, Redshift, and data integration across sources to deliver reliable, compliant analytics infrastructure.

You will collaborate with data scientists and analysts, optimize pipeline performance, and mentor junior engineers while exploring new AWS services to enhance existing solutions.

Qualifications

• Design and implement scalable ETL pipelines in AWS.
• Experience with Redshift, S3, Glue, Kafka, Airflow and related services.
• Proficiency in Python; Java or other languages are a plus.

Responsibilities

• Design and develop scalable ETL pipelines using AWS Glue and PySpark.
• Integrate data from multiple sources into Amazon Redshift with data quality in mind.
• Optimize performance of data processing jobs and Redshift queries.
• Deploy infrastructure as code (IaC) with Terraform.
• Monitor and troubleshoot data pipelines for reliability and efficiency.
• Collaborate with data scientists, analysts, and stakeholders to understand data requirements.
• Ensure compliance with security policies and regulations.
• Document data workflows and best practices.
• Mentor junior engineers on the team.
• Continuously explore new AWS services to improve solutions.

Skills

AWS Cloud Services

Redshift

S3

Kafka

Glue

Airflow

SageMaker

EMR

Athena

Lake Formation

DynamoDB

Aurora

VPC

IAM

Python

Terraform

Infrastructure as Code

Analytics

Data Warehouse

Big Data

Networking

SRE

ETL

Tools

PySpark

Terraform

Job description

Raymond James Financial, Inc. is seeking a data engineering professional to design and implement scalable ETL pipelines in a hybrid work setting. The role focuses on AWS Glue, PySpark, Redshift, and data integration across sources to deliver reliable, compliant analytics infrastructure.

You will collaborate with data scientists and analysts, optimize pipeline performance, and mentor junior engineers while exploring new AWS services to enhance existing solutions.