Data Engineer - W2 Contract

Hybrid in Jersey City, NJ, US • Posted 7 hours ago • Updated 7 hours ago
Contract W2
Contract Independent
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • MDM
  • SQL
  • ETL
  • Databricks
  • Cloud Migration
  • Oracle
  • Python
  • Pyspark
  • Snowpark

Summary

Job Title: Data Engineer

Location: Jersey City, NJ

Tax Terms: W2 is workable

Strong hands-on experience in Data Engineering and enterprise-scale data integration.

  1. Proven experience developing scalable ETL/ELT pipelines and distributed data processing solutions.
  2. Experience working with modern cloud-based data platforms and data ecosystems.
  3. Hands-on expertise with Strong SQL expertise along with programming/scripting experience in Python, PySpark, or Snowpark.
  4. Experience with dbt (Data Build Tool) for:
  5. Data transformation and modeling
  6. ELT pipeline development within Snowflake/Databricks
  7. Modular, reusable SQL-based data workflows
  8. Data testing, documentation, and version control integration
  9. Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform, including integration with Snowflake and Databricks.
  10. Solid understanding of data lake, data warehouse, and lakehouse architectures, and their implementation across platforms.
  11. Experience with orchestration and workflow tools (e.g., Airflow, Databricks Workflows, Snowflake Tasks) for pipeline scheduling and automation.
  12. Experience supporting Master Data Management (MDM) and enterprise data governance initiatives.
  13. Familiarity with metadata management, data lineage, data cataloging, and data quality processes.
  14. Experience integrating diverse data sources, including:
  15. APIs and microservices
  16. File-based ingestion (batch)
  17. Real-time/streaming data (e.g., Kafka, Spark Streaming)
  18. Knowledge of performance tuning, cost optimization, and scalability techniques across both Spark-based and Snowflake environments.
  19. Understanding of enterprise security, compliance, and governance standards, including RBAC, data masking, and encryption.
  20. Experience working in Agile and DevOps environments, including CI/CD for data pipelines.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91135323
  • Position Id: 9015422
  • Posted 7 hours ago
Contact the job poster
LK

Lalith Kumar

Recruiter @ SDVS Technologies LLC
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