Data Engineer (W2 Only)

Raas Infotek LLC Logo
Raas Infotek LLC
Charlotte, NC, United States (Remote)
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Job Title: Senior Data Engineer

Location: Charlotte, NC (Hybrid)

Employment Type: W2 Only (Strictly No C2C / 1099)

Duration: 12 Months

About the Role:

We are seeking a highly experienced Senior Data Engineer to join our data-driven team. The ideal candidate will have deep expertise in cloud platforms (Azure, Google Cloud Platform) , big data ecosystems , and modern data engineering tools. You will be responsible for designing and implementing scalable data pipelines, enabling advanced analytics and AI/ML capabilities across diverse domains.

Key Responsibilities:

  • Design, build, and optimize data pipelines and ETL/ELT workflows using tools like Databricks , Apache Spark , and Hadoop.
  • Develop and maintain data lake and warehouse architectures using Snowflake , Azure Synapse , and BigQuery.
  • Integrate structured and unstructured data from various sources to support AI/ML models, business intelligence, and analytics.
  • Write efficient, scalable code in Python using libraries such as Pandas , NumPy , and PySpark.
  • Collaborate with data scientists and analysts to deliver high-quality datasets for modeling and reporting.
  • Implement and manage data governance , security , and compliance standards across platforms.
  • Create and maintain dashboards and reports using Tableau , Power BI , and SQL.
  • Work closely with stakeholders to understand business requirements and translate them into technical solutions.
  • Support cloud migration and modernization initiatives across Azure and Google Cloud Platform environments.

Required Skills & Qualifications:

  • 12 years of experience in data engineering or related roles.
  • Strong proficiency in Python , SQL , and data manipulation libraries.
  • Hands-on experience with Azure , Google Cloud Platform , Snowflake , Databricks , and Apache Hadoop ecosystem.
  • Experience with AI/ML data preparation, feature engineering, and model deployment support.
  • Proficiency in data visualization tools like Tableau and Power BI.
  • Experience with Apache Kafka , Airflow, or other orchestration tools.
  • Solid understanding of data architecture , data modeling , and data governance.
  • Excellent problem-solving, communication, and collaboration skills.

Nice to Have:

  • Familiarity with MLflow , TensorFlow , or Scikit-learn for AI/ML workflows.
  • Certifications in Azure Data Engineer , Google Cloud Data Engineer , or Snowflake.
  • Knowledge of data privacy regulations (e.g., HIPAA, GDPR, PCI-DSS).
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