Data Engineer W2 Only (H1B Transfer / EAD)

Overview

Hybrid
Depends on Experience
Contract - W2

Skills

Data Engineer

Job Details

Job Title: Data Engineer W2 Only (H1B Transfer / EAD)

Experience: 7 10 Years
Employment: W2 Only (H1B Transfer / EAD)

Job Description:

We are looking for an experienced Data Engineer to build, maintain, and optimize large-scale data pipelines and cloud-based data solutions. The ideal candidate should have strong hands-on experience with PySpark, SQL, and modern cloud platforms.

Key Responsibilities:

  • Design, build, and manage scalable ETL/ELT pipelines for large datasets.

  • Develop data processing workflows using PySpark, Spark, and distributed systems.

  • Optimize data ingestion, transformation, and storage for high performance.

  • Work on cloud-native data solutions using AWS/Azure/Google Cloud Platform.

  • Collaborate with data scientists, analysts, and application teams to deliver reliable data products.

  • Ensure data quality, governance, and security standards.

  • Implement monitoring, logging, and automation for data pipelines.

Required Skills:

  • Strong experience with PySpark, Spark, and distributed data processing.

  • Expertise in SQL and performance tuning.

  • Experience with cloud services (AWS Glue, EMR, Lambda / Azure Data Factory / Google Cloud Platform DataFlow).

  • Hands-on experience with data warehousing concepts (Snowflake, Redshift, BigQuery, etc.).

  • Strong understanding of ETL/ELT design and best practices.

  • Familiarity with version control, CI/CD, and DevOps workflows.

Nice to Have:

  • Experience with Databricks.

  • Experience with Kafka, streaming pipelines, or real-time data processing.

  • Knowledge of Python data libraries (Pandas, NumPy).

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.

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