Data Engineer

Overview

Hybrid
40 - 45
Contract - W2
Contract - 06 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

Data Engineer
Azure
Python
PySpark

Job Details

Immediate need for a talented Data Engineer. This is a 06 Months Contract opportunity with long-term potential and is located in Dallas TX (Hybrid). Please review the job description below and contact me ASAP if you are interested.

Job ID:26-00480

Pay Range: $40 - $45/hour.  Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
 
Key Responsibilities:

  • Design, develop, and optimize end-to-end data pipelines using Python and PySpark
  • Build and maintain ETL/ELT workflows to process structured and semi-structured data
  • Write complex SQL queries for data transformation, validation, and performance optimization
  • Develop scalable data solutions using Azure services such as Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and Databricks
  • Ensure data quality, reliability, and performance across data platforms
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements
  • Implement best practices for data governance, security, and compliance
  • Monitor and troubleshoot data pipeline failures and performance issues
  • Support production deployments and ongoing enhancements

Key Requirements and Technology Experience:

  • Must have skills: Data Engineer, Azure, Python, PySpark
  • Strong proficiency in SQL for querying and data modeling
  • Hands-on experience with Python for data processing and automation
  • Solid experience using PySpark for distributed data processing
  • Experience working with Microsoft Azure data services
  • Understanding of data warehousing concepts and big data architectures
  • Experience with batch and/or real-time data processing
  • Ability to work independently and within cross-functional teams
  • Experience with Azure Databricks
  • Knowledge of data modelling techniques (star/snowflake schemas)
  • Familiarity with CI/CD pipelines and version control tools (Git)
  • Exposure to data security, access control, and compliance standards
  • Experience with streaming technologies
  • Knowledge of DevOps or DataOps practices
  • Cloud certifications (Azure preferred)

Our client is a leading Pharmaceutical Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
 
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