Lead AWS Data Engineer

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 GCP

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 GCP

Proven success managing petabyte-scale data and HPC workloads

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