Data Engineer
Job Type: Contract – W2 Only
Experience: 3–6 Years
Location: Richmond, Virginia – Hybrid
Visa : Opt / H1b transfer also accept
Job Description
We are looking for an experienced Data Engineer to design, develop, and maintain scalable data pipelines and data processing solutions. The ideal candidate should have strong hands-on experience with Python, SQL, ETL/ELT, PySpark, cloud technologies, and modern data platforms.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT data pipelines.
Develop and optimize data processing solutions using Python and SQL.
Build large-scale data processing workflows using PySpark/Spark.
Integrate data from multiple structured and unstructured sources.
Work with cloud platforms such as AWS, Azure, or GCP.
Work with modern data platforms such as Databricks, Snowflake, Redshift, or BigQuery.
Monitor, troubleshoot, and optimize data pipelines.
Ensure data quality, reliability, security, and availability.
Collaborate with analysts, developers, data scientists, and business teams.
Required Skills
3–6 years of Data Engineering experience.
Strong hands-on experience with Python and SQL.
Strong experience with ETL/ELT and data pipeline development.
Experience with PySpark / Apache Spark.
Experience with Databricks and/or Snowflake.
Experience with AWS, Azure, or GCP.
Knowledge of data warehousing and data modeling.
Experience with **Airflow, Azure Data Factory
