Data Engineer

Job Title: Data Engineer

Location: Phoenix, AZ

Work Type: Hybrid (3 days onsite per week) Employment Type: W2 only

Candidate Criteria:

• Only Female Candidates
  
• Experience: 6+ years
  
• Visa Status: USC / GC only

About the Role:

We are seeking an experienced Data Engineer to join an Agile, SDLC-based team supporting large-scale data initiatives at our firm. The ideal candidate will be a hands-on individual contributor with strong data engineering, analytics, and ETL development experience.

Key Responsibilities:

• Work as an individual contributor in an Agile SDLC environment
  
• Design, develop, and maintain scalable ETL pipelines using Python and PySpark
  
• Analyze, transform, and manage large datasets across data warehouses and data lakes
  
• Develop complex SQL queries across multiple RDBMS platforms
  
• Integrate data across systems using REST, SOAP, ETL, and SSIS
  
• Build and support reports and dashboards using BI tools
  
• Collaborate with cross-functional teams to deliver high-quality data solutions
  
• Write efficient, reusable, and maintainable code for data processing pipelines
  
• Learn and adapt to new cloud-based tools and platforms as required
  

Required Skills:

• Strong Data Analytics background
  
• Proficiency in MySQL
  
• Strong hands-on experience with Python and PySpark
  
• Expertise in ETL, Big Data, and Data Warehousing concepts
  
• Expert-level knowledge in at least one object-oriented programming language in C, C++ Or Java
  
• Experience with SDLC life cycle
  
• Advanced knowledge of SQL (SQL Server, DB2, Oracle)
  
• Experience with:
  
• Stored procedures, triggers, DML packages, materialized views
  
• Data modeling (schemas, entity relationships)
  
• BI tools: Tableau, Power BI, or Qlik
  
• System integrations using REST, SOAP, ETL, SSIS
  
• Node.js and JSON
  
• Familiarity with Apache Airflow and DAG development
  

Preferred / Plus Skills:

• Experience with Apache Spark
  
• Exposure to cloud-based data platforms
  
• Willingness to upskill on emerging tools and technologies