Data Engineer Hybrid - US

Data Engineer

Full Time • Hybrid - US
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.


Reply with your profiles to this posting and send it to ITJOBS@tekvana.com

Flexible work from home options available.

Compensation: $90,000.00 per year




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