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AWS Data Engineer

ApTaskNewark, NJ🇺🇸United States

Quick overview

Salary$130k - $140k/yr
SeniorityMid Senior
Work modeHybrid
LocationNewark, NJ, United States
DynamoDBSQLApache SparkAWSETLApacheData PipelinePythonRedshift

Job description

Hello 
I came across your profile and believe your experience could be a great fit for a AWS Data Engineer

we are seeking AWS Data Engineer with strong Python/PySpark experience developing and optimizing ETL pipelines using AWS Glue, EMR, S3, Redshift, Athena, and Apache Iceberg.

It is Fulltime Hybrid role for Newark NJ Looking forward to connecting with you!

Job Role: AWS Data Engineer
Salary: $130k to $140k per annum
Role Summary –
Design, develop and support AWS-based data pipelines for enterprise data onboarding, transformation, and consumption. The engineer will work hands-on with Python/PySpark and AWS-native data services to create reliable, scalable, and analytics/AI-ready datasets.
Key Responsibilities -
Data Pipeline Development
  • Develop ingestion and transformation pipelines using AWS Glue, EMR, S3, Python and PySpark.
  • Ingest data from legacy and enterprise source systems into AWS.
  • Develop transformations required to create standardized, consumption-ready datasets.
  • Build and maintain ETL/ELT workflows supporting enterprise data domains.

AWS Data Engineering
  • Work with S3 for data storage and processing.
  • Develop workloads using Glue and EMR.
  • Develop and optimize analytical datasets and workloads involving Redshift and Athena.
  • Support Iceberg-based data structures on S3 where required.
  • Work with other AWS data services such as DynamoDB when appropriate to the solution.

Data Quality & Reliability
  • Implement data validation, reconciliation, and quality checks within pipelines.
  • Identify and resolve data-processing failures and data-quality issues.
  • Support performance optimization of PySpark/SQL workloads and data pipelines.
  • Participate in troubleshooting and production support.

Development & Delivery
  • Develop clean, maintainable, and reusable Python/PySpark code.
  • Perform unit and integration testing.
  • Participate in peer code reviews.
  • Document data flows, mappings, transformations, and technical designs.
  • Work with the Data Engineering Lead and client stakeholders to understand source data and transformation requirements.
About ApTask:
ApTask is an NMSDC-certified MBE providing IT staffing, payrolling, managed solutions, and workforce services to organizations across the U.S., Canada, and India. We look forward to working with you and creating a long-standing partnership together. For more information about our services and current career opportunities please visit us at:

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