Lead AWS Data Engineer

Overview

On Site
$140,000 - $200,000
Full Time
No Travel Required

Skills

Amazon Web Services
Apache Airflow
Apache Spark
Data Engineering
Data Warehouse
Extract
Transform
Load
ELT
HPC
Kubernetes
NoSQL
Python
SQL
Change Data Capture
Analytics

Job Details

Lead AWS Data Engineer
Location: Onsite Irving, TX
Employment Type: Full-Time, Direct Hire
Compensation: $150,000 $190,000 base + bonus

We re hiring a Lead Data Engineer to architect and build scalable, high-performance data systems that power enterprise analytics and business insights. This role is hands-on, working onsite in Irving, TX, and focused on optimizing large-scale pipelines, infrastructure, and data platforms in a hybrid cloud environment.

Key Responsibilities:

  • Design and maintain robust data pipelines (batch, streaming, CDC) using Spark, Kafka, Flink, and Trino

  • Build cloud-native data solutions using AWS, Azure, or Google Cloud Platform

  • Develop reusable ETL/ELT frameworks and data models supporting structured and unstructured data

  • Implement orchestration tools like Apache Airflow and manage Kubernetes-based data workflows

  • Collaborate with cross-functional teams to ensure secure, scalable, and high-performing systems

  • Mentor junior engineers and drive data quality and governance standards

Requirements:

  • 7+ years in data engineering with expertise in Python, SQL, Spark, Kafka

  • Strong experience with data lakes, data warehouses, and NoSQL databases

  • Cloud experience with AWS, Azure, or Google Cloud Platform

  • Proven success managing petabyte-scale data and HPC workloads

  • Bachelor s degree in CS, Engineering, or related field; Master s preferred

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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