Python Data Engineer

Job Title:Data Engineer (Python, Spark, Cloud)

Location: Iselin NJ or Charlette NC

Pay :$90000 per year DOE

Term : Contract

Work Authorization: US Citizens only

( may need Security clearance in future)

Job Summary:

We are seeking a mid-level Data Engineer with strong Python and Big Data skills to design, develop, and maintain scalable data pipelines and cloud-based solutions. This role involves hands-on coding, data integration, and collaboration with cross-functional teams to support enterprise analytics and reporting.

Key Responsibilities:

Build and maintain ETL pipelines using Python and PySpark for batch and streaming data.

Develop data ingestion frameworks for structured/unstructured sources.

Implement data workflows using Airflow and integrate with Kafka for real-time processing.

Deploy solutions on Azure or GCP using container platforms (Kubernetes/OpenShift).

Optimize SQL queries and ensure data quality and governance.

Collaborate with data architects and analysts to deliver reliable data solutions.

Required Skills:

Python (3.x) – scripting, API development, automation.

Big Data: Spark/PySpark, Hadoop ecosystem.

Streaming: Kafka.

SQL: Oracle, Teradata, or SQL Server.

Cloud: Azure or GCP (BigQuery, Dataflow).

Containers: Kubernetes/OpenShift.

CI/CD: GitHub, Jenkins.

Preferred Skills:

Airflow for orchestration.

ETL tools (Informatica, Talend).

Financial services experience.

Education & Experience:

Bachelor’s in Computer Science or related field.

3–5 years of experience in data engineering and Python development.

Keywords for Visibility:

Python, PySpark, Spark, Hadoop, Kafka, Airflow, Azure, GCP, Kubernetes, CI/CD, ETL, Data Lake, Big Data, Cloud Data Engineering.

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