Data Engineer

Job-title: Data Engineer / Data Platform Engineer Duration: 12 months with higher possibility of extension or conversion to full time Location: (Hybrid) ISELIN New Jersey United States - (Local W-2 candidates only) Key Responsibilities • Build and maintain batch and/or streaming data pipelines • Develop scalable data transformations using Python and PySpark • Optimize large-scale data processing leveraging Apache Spark architecture • Collaborate with business and technical teams to define data models and datasets • Ingest and process data from multiple sources (transactional, case management, reference data) • Implement data quality checks and ensure audit readiness • Contribute to modernization initiatives (legacy to in-house platform migration) • Document pipelines, workflows, and operational processes • Work in an Agile environment supporting sprint-based delivery Required Skills • 5+ years of experience in Data Engineering / ETL / Data Platforms • Strong hands-on experience with Python, PySpark (Apache Spark), and SQL • Experience with large-scale data processing and performance tuning • Solid understanding of data modeling, lineage, and governance • Experience working in regulated environments • Strong communication and stakeholder management skills Nice to Have • Experience with GCP (Dataproc, BigQuery, GCS) • Familiarity with Airflow, Kafka, Databricks, Snowflake, or BigQuery • Experience with CI/CD pipelines and DevOps practices • Knowledge of data security (PII handling, encryption, access control) • Background in Financial Crimes (AML, Fraud, KYC, etc.)