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Data Engineer – PySpark
External job listingat Realtechservices
Tasks Design, develop, and maintain scalable data pipelines using PySpark. Process and transform large volumes of data. Build and optimize ETL/ELT workflows. Ensure data quality, accuracy...
External source - not verifiedyesterdayOpen until: Jan 27, 2027
Salary
Not provided
Location
Charlotte, United States
Employment type
Full time
Workplace
Not provided
Data Engineer – PySpark
Charlotte, United States
Job description
Tasks
- Design, develop, and maintain scalable data pipelines using PySpark.
- Process and transform large volumes of data.
- Build and optimize ETL/ELT workflows.
- Ensure data quality, accuracy, and pipeline performance.
- Collaborate with cross-functional teams to deliver reliable data solutions.
Requirements
- 9+ years of experience in Data Engineering or related roles.
- Strong hands-on experience with PySpark and Apache Spark.
- Strong Python programming skills.
- Experience with SQL, ETL/ELT pipelines, and data transformation.
- Knowledge of big data processing and distributed computing.
- Experience with Spark job optimization and performance tuning.
- Cloud experience with AWS, Azure, or GCP is a plus.
- Databricks and Delta Lake experience is a plus.
- Only W2 (Sponsorship Available)
- Candidates must be comfortable attending an onsite interview at either location.
Schedule
- Hybrid – 3 Days Onsite per Week
- Long-Term Contract
How to apply
- Share your updated resume.
Location
- Charlotte, NC