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Data Engineer - W2 Only (H1B's Accepted)

BRATHON · Jersey City, NJ

📅 19/08/2026
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AWS Data Engineer Location: Jersey City, NJ (Onsite) Job Type: Contract Job Summary: We are seeking an experienced AWS Data Engineer to join our team onsite in Jersey City, NJ. The ideal candidate will design, build, and maintain scalable data pipelines and cloud-based data infrastructure to support analytics and business intelligence initiatives. Key Responsibilities: Design, develop, and optimize ETL/ELT pipelines using AWS services Build and maintain data lakes and data warehouses on AWS (S3, Redshift, Glue, Athena) Develop data pipelines using AWS Glue, Lambda, EMR, and Step Functions Write efficient, scalable code in Python and/or Scala for data processing Work with structured and unstructured data from multiple sources Implement data quality checks, validation, and monitoring processes Optimize SQL queries and database performance Collaborate with data scientists, analysts, and business stakeholders to understand data requirements Ensure data security, governance, and compliance standards are met Troubleshoot and resolve data pipeline issues in production environments Document data architecture, pipelines, and processes Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or related field 5+ years of experience in data engineering Strong hands-on experience with AWS services: S3, Glue, Redshift, EMR, Lambda, Athena, Kinesis, Step Functions Proficiency in SQL and Python (Scala/Java is a plus) Experience with big data technologies (Spark, Hadoop) Experience with data warehousing concepts and dimensional modeling Familiarity with CI/CD pipelines and version control (Git) Knowledge of data orchestration tools (Airflow, AWS Step Functions) Strong understanding of data governance, security, and compliance Excellent communication and problem-solving skills Nice to Have: AWS Certification (Data Analytics Specialty, Solutions Architect) Experience with Snowflake or other cloud data warehouse platforms Familiarity with Kafka or other streaming technologies Experience with Terraform or CloudFormation for infrastructure as code
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