
Salary
💰 $45 - $55 per hour
Job Level
Mid-LevelSenior
Tech Stack
AWSAzureBigQueryCloudCyber SecurityETLGoogle Cloud PlatformPythonSQLSSIS
About the role
- Join a team focused on enhancing data products and building scalable solutions
- Contribute to data products that enable measurement, analytics, and attribution
- Develop and optimize ETL/BI pipelines, transformations, and dimensional models
- Implement and maintain orchestration and CI/CD for data engineering workflows
- Write and performance-tune complex SQL queries and optimize database performance
- Use Python and cloud platforms (GCP, BigQuery, AWS, Azure) to build data solutions
- Work with cube technologies (AtScale, SSAS/SSIS) as needed
- Collaborate with technical and business stakeholders across the organization
- Support a Fortune 50 enterprise as part of a W-2 contract engagement
Requirements
- Degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field
- 5+ years of data engineering experience in a large enterprise environment
- Expert-level proficiency in SQL (advanced querying, performance tuning, optimization)
- Strong background in ETL/BI development (pipelines, transformations, dimensional modeling)
- Hands-on experience with CI/CD and orchestration tooling within data engineering workflows
- Experience with Python
- Cloud platform exposure (GCP, BigQuery, AWS, Azure, etc.)
- Familiarity with cube technologies such as AtScale, SSAS/SSIS
- Strong communication and collaboration skills - comfortable engaging with technical and business stakeholders
- Must reside within the continental U.S.
- This is a W-2 only, fully remote contract opportunity (no C2C).
- We are unable to offer any form of work authorization sponsorship, now or in the future.
- Standard Eastern Time business hours (full-time).
- You must be exclusively dedicated to this role (no concurrent job engagements).
- Contractors are expected to have their camera on during meetings, collaboration sessions, etc. for the first 90 days of the assignment.
- All work must be performed from within the United States for the duration of the assignment.