Senior Data Engineer

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🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

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Sigma Systems

WebsiteLinkedInAll Job Openings

201 - 500 employees

📡 Telecommunications

⚡ Energy

☁️ SaaS

💰 $11M Venture Round - Tribold on 2009-01

Telecommunications • Energy • SaaS

Sigma Systems is a software company that provides cloud-native, API-driven BSS/OSS, product catalog, CPQ and order orchestration solutions for communications service providers and energy/utilities companies. It offers modular, TMF-compliant components and managed services — including AI-enabled automation and data-driven tools — to help operators modernize billing, monetization, and customer fulfillment processes with a SaaS and cloud-focused delivery model.

📋 Description

• 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

🎯 Requirements

• 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