Remote Senior Data Engineer

# **Remote Senior Data Engineer (12-Month Contract)** **Location:** Remote (U.S. Only – Eastern or Central Time Zones) **Job Type:** 12-Month Contract **Schedule:** Full-Time (Remote) **Company:** Sigma Systems ## **Senior Data Engineer (Remote) – AWS | Python | SQL | ETL | Data Warehousing** Sigma Systems is seeking an experienced **Senior Data Engineer** to join a leading enterprise team on a **12-month remote contract**. This opportunity is ideal for a highly skilled data engineering professional with **10+ years of experience** designing scalable data platforms, developing enterprise ETL/ELT pipelines, and building modern cloud-based data solutions. If you have expertise in **Python, SQL, AWS, GCP, Azure, Redshift, BigQuery, Apache Airflow, dbt, Data Warehouses, Data Lakes, and cloud data engineering**, we'd love to hear from you. ## **Key Responsibilities** - Design, develop, and optimize enterprise-scale **ETL/ELT data pipelines** - Build scalable data integration solutions for data warehouses and data lakes - Develop high-performance data processing workflows using **Python and SQL** - Design cloud-native data architectures using **AWS, Azure, or GCP** - Create and maintain reliable, secure, and scalable data infrastructure - Implement data governance, security, and quality standards - Optimize pipeline performance, scalability, and processing costs - Troubleshoot complex data engineering issues - Collaborate with business stakeholders to translate requirements into technical solutions - Mentor junior engineers and promote engineering best practices - Produce technical documentation for architecture, transformations, and development standards ## **Required Qualifications** - Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field - **10+ years of professional Data Engineering experience** - Extensive experience with: - Data Warehouses - Data Lakes - ETL/ELT Development - Enterprise Data Pipelines - Advanced proficiency in: - Python - SQL - Hands-on experience with one or more cloud platforms: - Amazon Web Services (AWS) - Google Cloud Platform (GCP) - Microsoft Azure - Experience with: - Amazon Redshift or Google BigQuery - Apache Airflow - dbt (Data Build Tool) - Strong understanding of data architecture, performance tuning, and data governance - Excellent written and verbal communication skills - Must be located within the **United States** - Must be able to work **Eastern or Central Time Zone business hours** ## **Preferred Qualifications** - 15+ years of Data Engineering experience - Master's degree in Computer Science or related field - Experience optimizing enterprise-scale data pipelines - Pharmaceutical or Life Sciences industry experience - Experience with BI platforms such as **Tableau** - Experience mentoring technical teams ## **Technical Skills** **Required Skills** - Python - SQL - ETL - ELT - Data Engineering - Data Warehouses - Data Lakes - AWS - Azure - Google Cloud Platform (GCP) - Redshift - BigQuery - Apache Airflow - dbt - Data Pipelines - Cloud Data Engineering - Data Modeling - Performance Optimization - Data Governance