Senior Data Engineer – W2 only – Remote – BB37452509

TechData Service Company, LLC is seeking a highly experienced Senior Data Engineer responsible for designing, developing, and optimizing enterprise-scale data infrastructure and pipelines. The role focuses on ensuring data platform scalability and delivering high-quality data solutions while mentoring junior engineers and enforcing data quality standards.

Responsibilities:

• Data Pipeline Development
• Design scalable systems and build complex, end-to-end ETL (Extract, Transform, Load) pipelines to move data from various sources to data warehouses
• Data Governance & Security
• Enforce strict data quality standards and ensure all system designs meet security compliance requirements
• Leadership & Strategy
• Mentor junior engineers, translate complex business requirements into technical solutions
• Performance Optimization
• Continuously monitor and troubleshoot data pipelines and databases to improve processing speed, scalability, and cost-efficiency
• Collaboration & Stakeholder Support
• Ensure implemented Data Products meet the vision and goals of Data Consumers
• Documentation & Best Practices
• Enforce and adhere to best practices for technical documentation related to architecture, transformation logic and coding standards

Requirements:

• 10+ years of prior experience as a Data Engineer working directly with Data Warehouses, Data Lakes, ELT/ETL, Data Pipelines
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field
• Languages: Advanced proficiency in SQL and Python
• Cloud Platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure
• Data Warehouses & Frameworks: BigQuery or Redshift
• Orchestration & Streaming: Apache Airflow, dbt (data build tool)
• US-based, Eastern/Central Time Zone
• Fluent English Speaker
• AWS: 1 year (Required)
• Google Cloud Platform: 1 year (Required)
• Data warehouse: 3 years (Required)
• Data lake: 3 years (Required)
• ELT/ETL: 3 years (Required)
• Data pipelines: 2 years (Required)
• SQL: 2 years (Required)
• Python: 2 years (Required)
• 15+ years of prior experience as a Data Engineer working directly with Data Warehouses, Data Lakes, ELT/ETL, Data Pipelines
• Master's degree in Computer Science, Information Systems, Engineering, or a related technical field
• Experience optimizing Data Pipelines
• Prior experience working in the Pharma industry
• Experience with BI Tools (e.g. Tableau)
• MS Azure: 1 year (Preferred)
• Pharma Industry: 1 year (Preferred)
• BigQuery: 1 year (Preferred)
• Redshift: 1 year (Preferred)
• Data Engineer: 10 years (Preferred)