AWS Data Engineer | Lakehouse & PySpark Leader

Exavalu; Newark (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

Exavalu in Newark, NJ is seeking a Senior Data Engineer to lead the design and delivery of scalable data engineering solutions on AWS, focusing on enterprise data onboarding and domain-oriented data products for analytics and AI readiness.

You will provide hands-on technical leadership across AWS-native services (S3, Glue, EMR, Redshift, Athena), drive lakehouse patterns, and mentor engineers while collaborating with architecture, data, technology and business teams to ensure robust, validated

Qualifications

• Hands‑on experience building data pipelines on AWS.
• Experience leading data engineering teams or initiatives.
• Deep knowledge of batch and streaming data processing patterns.

Responsibilities

• Lead the design and delivery of AWS-based data ingestion, transformation and processing solutions.
• Define engineering patterns for large-scale data processing using Python and PySpark.
• Guide lakehouse patterns with S3 and Apache Iceberg where applicable.
• Provide technical direction across design, development, testing, deployment and production support.
• Mentor Data Engineers and drive AWS/Python/PySpark excellence.

Skills

Python

PySpark

AWS

Data Pipelines

Data Lakes

Tools

S3

Glue

EMR

Redshift

Athena

Job description

Exavalu in Newark, NJ is seeking a Senior Data Engineer to lead the design and delivery of scalable data engineering solutions on AWS, focusing on enterprise data onboarding and domain-oriented data products for analytics and AI readiness.

You will provide hands-on technical leadership across AWS-native services (S3, Glue, EMR, Redshift, Athena), drive lakehouse patterns, and mentor engineers while collaborating with architecture, data, technology and business teams to ensure robust, validated