Salary
💰 $115,000 - $140,000 per year
Tech Stack
AirflowAmazon RedshiftAWSAzureBigQueryCloudCyber SecurityETLPythonSparkSQL
About the role
- As a client-facing Data Engineer at CBTS, you are the architect behind the data infrastructure that enables AI-powered business transformation.
- You will be responsible for designing, building, and maintaining scalable and secure data pipelines that directly support client delivery.
- Develop and Optimize Data Pipelines: Architect and build robust ETL/ELT pipelines to ingest, process, and transform high-volume, high-variety data, ensuring reliability and performance at each stage.
- Ensure Data Integrity and Governance: Implement data validation, lineage, access controls, and security protocols to maintain data quality and compliance across all touchpoints.
- Enable Production Readiness: Collaborate with Data Scientists and ML Engineers to design pipelines and storage solutions that reliably feed model training and deployment in production environments.
- Drive Scalable Platform Enhancements: Build and maintain reusable, modular components and accelerators that improve the efficiency and repeatability of data delivery across client engagements.
- Track Utilization and Client Value: Maintain accurate time tracking against billable projects, ensuring transparency in deliverables, utilization, and the value delivered to clients.
Requirements
- 3–5 years of hands-on data engineering experience with data pipeline architecture and implementation
- Experience with MLOps, model-serving integration, and AI-focused data infrastructure
- Proficiency in SQL, Python, and modern ETL/ELT frameworks (e.g., Spark, Airflow)
- Familiarity with cloud data platforms (e.g., AWS Glue/Redshift, Azure Synapse, Google BigQuery)
- Strong understanding of data governance, security, and performance optimization
- Background in building reusable data delivery tools or internal accelerators
- Demonstrated ability to collaborate with cross-functional teams in a delivery context
- Experience in automated monitoring, logging, and infrastructure-as-code for pipeline environments
- Due to U.S. Government requirements applicable to foreign-owned telecommunications providers, non-US citizens may be required to submit to an extensive government agency background check which will necessitate disclosure of sensitive Personally Identifiable Information.