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Remote Senior Data Engineer

Sigma Systems

About the job Remote Senior Data Engineer


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)
Vacancy posted 13 hours ago
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