Senior AWS Data Engineer: Real-Time Data Pipelines

Symphony Solutions; Austin (TX); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Symphony Solutions in Austin, TX, is seeking an AWS Data Engineer to design and implement scalable data pipelines and warehousing solutions. The role combines hybrid onsite work with remote collaboration, focusing on Python, Airflow, and AWS services for analytics.

You will lead data integration efforts, optimize streaming workflows, and mentor junior engineers while ensuring governance and security across data platforms.

Qualifications

• Bachelor’s or Master’s degree in CS, Engineering, or related field.
• 8–10 years of data engineering experience.
• Proficient in Python and Airflow for workflow management.
• Strong AWS data storage, processing, and analytics expertise.
• Experience with real-time streaming technologies (Kafka, SQS, Event Bridge).
• Familiarity with API-based integrations (AppFlow).
• Deep knowledge of data warehousing concepts and data modelling.
• Ability to lead and mentor technical teams with good communication.

Responsibilities

• Develop and execute a strategic roadmap for data processing, storage, and analytics.
• Design, implement, and maintain robust data pipelines using Python and Airflow.
• Leverage AWS services (S3, Glue, EMR, Redshift) for data processing and analytics.
• Implement real-time data processing using Kafka, SQS, and Event Bridge.
• Oversee integration of diverse data sources via AppFlow and APIs.
• Develop data warehousing solutions and data modelling best practices.
• Monitor, optimize, and troubleshoot pipelines for performance and scalability.
• Ensure data governance, privacy, and security compliance.

Skills

Python

Airflow

Data pipelines

AWS

S3

Spark

Kafka

EventBridge

APIs

Data modelling

Data warehousing

Education

Bachelor’s or Master’s degree in Computer Science or Engineering

Tools

AWS S3

AWS Glue

AWS EMR

Redshift

Kafka

EventBridge

AppFlow

APIs

Job description

Symphony Solutions in Austin, TX, is seeking an AWS Data Engineer to design and implement scalable data pipelines and warehousing solutions. The role combines hybrid onsite work with remote collaboration, focusing on Python, Airflow, and AWS services for analytics.

You will lead data integration efforts, optimize streaming workflows, and mentor junior engineers while ensuring governance and security across data platforms.