AWS Data Engineer — PySpark & Glue Pipelines (Onsite NJ)

Aroha Technologies, Inc; Newark (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

Aroha Technologies, Inc is seeking an AWS Data Engineer to design, develop, and support AWS-based data pipelines for onboarding, transformation, and consumption of enterprise data. The role is onsite in Newark, NJ, three days per week, with a focus on Python/PySpark and AWS-native services.

You will ingest data from legacy sources, build ETL/ELT workflows, and optimize datasets for analytics and AI readiness. Strong emphasis on data quality, reliability, and collaboration with stakeholders.

Qualifications

• Experience designing and implementing scalable data pipelines on AWS.
• Hands-on with Python/PySpark and AWS-native data services.
• Ability to deliver reliable, analytics-ready datasets.

Responsibilities

• Design, develop, and support AWS-based data pipelines for onboarding, transformation, and consumption of enterprise data.
• Ingest data from legacy and enterprise sources into AWS; build ETL/ELT workflows.
• Develop and optimize analytical datasets using Redshift and Athena; validate data quality.
• Collaborate with stakeholders and lead development of maintainable Python/PySpark code.

Skills

Python

PySpark

SQL

AWS

Tools

AWS Glue

AWS EMR

S3

Redshift

Athena

Iceberg

DynamoDB

Job description

Aroha Technologies, Inc is seeking an AWS Data Engineer to design, develop, and support AWS-based data pipelines for onboarding, transformation, and consumption of enterprise data. The role is onsite in Newark, NJ, three days per week, with a focus on Python/PySpark and AWS-native services.

You will ingest data from legacy sources, build ETL/ELT workflows, and optimize datasets for analytics and AI readiness. Strong emphasis on data quality, reliability, and collaboration with stakeholders.