Sr. Data Engineer

 

We are currently seeking a dynamic, motivated, and highly experienced individual for the position of Contractor, Senior Data Engineer that is responsible for the design, development, and optimization of enterprise-scale data infrastructure and pipelines. With deep technical expertise and over a decade of experience, this individual supports the engineering strategy, ensures data platform scalability, and delivers high-quality data solutions. This individual excels in technical execution, ensuring data is accessible, reliable, and secure across the organization.

 

Job Duties and 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.

 

Must have:

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 (Google Cloud Platform), 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

 

Nice-to-have:

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)