Job Description
Job Description
37537567 Remote Senior Data Engineer, 12 Months Contract
Sigma Systems is currently looking for a Remote Senior 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.
This is a Contract role and not a direct hire with SMPA.
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:
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 (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
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)