Data Engineer
Role details
Job location
Tech stack
Job description
We are hiring a Senior Data Engineer to join our client's Data Engineering team on a contract basis. This is an exciting opportunity to work with a leading enterprise organization focused on large-scale data transformation and engineering initiatives. The ideal candidate will be a hands-on engineer with strong coding expertise and experience working with large datasets, distributed systems, and performance optimization., Develop, optimize, and maintain complex SQL queries for large-scale data processing Build and enhance data pipelines using Python and PySpark Create and manage Hive tables within Hadoop environments Perform query optimization and performance tuning for large datasets Analyze and transform structured and unstructured data efficiently Collaborate with cross-functional teams to support data engineering initiatives Write clean, scalable, and production-quality code Participate in technical discussions, troubleshooting, and implementation activities
Requirements
5+ years of hands-on Data Engineering experience within the U.S. Strong expertise in Advanced SQL and query optimization Strong hands-on Python development experience Experience with Hadoop, Hive, and PySpark Experience creating tables, performance tuning, and handling large datasets Strong coding and problem-solving skills Ability to explain technical logic and implementation clearly Excellent communication and collaboration skills
Benefits & conditions
Hourly Rate: $60.00 - $65.00 per hour, The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid sick and safe time, paid vacation time, paid parental leave, and paid holidays annually.