Data Engineer
Charlotte, NC, United States
- Experience
- 7–10 years
- Employment
- Contract
- Work mode
- Onsite
- Salary
- Not disclosed
- Deadline
- Apply by 1 Nov 2026
- Posted
- 2025-07-23
Required skills
| Skill | Experience | Level |
|---|---|---|
| PySpark | 3+ years | Not specified |
| Python | 3+ years | Not specified |
| AWS S3 | 3+ years | Not specified |
| Dremio | 2+ years | Not specified |
| ETL frameworks | 3+ years | Not specified |
About the role
Data Engineer /ACSI2JQ3
Charlotte, NC (Hybrid), (3 days onsite/2 wfh)
W2 Candidates - Near by candidates only
Must have: Pyspark Python S3 Dremio ETL skills
$70, W2
Job Summary:
Data Engineer with strong expertise in PySpark, ETL development, and Data Warehousing/Business Intelligence (DW/BI) projects. Resource will be responsible for end-to-end development covering Financial Attribution, SCD, Booking and Referring Agreements, Data Aggregations, and SOR Onboarding
Required Skills & Qualifications:
Strong hands-on experience with PySpark for data processing and transformation.
Proficiency in ETL tools Informatica, Oracle PL/SQL , Teradata
Experience in enterprise frameworks, UNIX script writing
Experience in job scheduling, batch process, data analysis, defect resolution
Solid understanding of Data Warehousing concepts (e.g., star/snowflake schema, slowly changing dimensions).
Experience with cloud platforms (Azure, or GCP) and services like S3
Strong SQL skills for data extraction, transformation, and analysis.
Experience with version control systems (e.g., Git) and CI/CD pipelines.
Excellent problem-solving and com