Senior Analytics Engineer

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🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

⏳ Contract/Temporary

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 10%

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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

• Architect and lead scalable analytics data models and modern lakehouse data layers using dbt, SQL, and Python • Design, develop, and maintain enterprise data models and transformation pipelines for reporting, analytics, and AI applications • Define and govern semantic layers, enterprise metrics, business logic, and metadata management • Develop AI-ready data architectures and interfaces enabling LLMs and AI agents to interpret and query institutional data • Lead context engineering initiatives involving semantic models, metadata, MCP, and text-to-SQL capabilities • Design and implement production-grade data and ML pipelines, including feature engineering and embedding pipelines • Use Dagster and AWS to orchestrate, deploy, and manage scalable data workflows • Establish data engineering standards, data quality practices, automated testing, and software development best practices • Conduct advanced code reviews and ensure analytics solutions are reliable, scalable, and maintainable • Lead technical planning and delivery of cross-functional data and AI initiatives • Collaborate with data engineers, AI engineers, researchers, faculty, and business stakeholders • Mentor engineers and provide technical guidance • Contribute to long-term analytics engineering, data architecture, and AI strategy

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Science, Data Analytics, or a related technical field, or equivalent professional experience • 8+ years of professional experience in Analytics Engineering, Data Engineering, or a related technical discipline • Demonstrated experience leading complex data engineering or analytics engineering projects • Expert-level SQL and Python programming skills • Extensive experience building data models, transformations, and analytics workflows using dbt or similar technologies • Strong knowledge of data architecture, dimensional modeling, data warehousing, and semantic layer design • Experience with modern cloud data platforms and lakehouse architectures • Strong understanding of Git, automated testing, CI/CD, code reviews, and data pipeline orchestration • Experience designing and maintaining production-grade data pipelines • Experience with data governance, data quality, metadata management, privacy, and security • Strong communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders • Proven experience mentoring engineers and providing technical leadership • Preferred: experience with AWS cloud services, particularly Amazon S3 • Preferred: hands-on experience with Apache Iceberg and Trino • Preferred: experience with dbt Core or dbt Cloud • Preferred: experience with Dagster or similar orchestration tools • Preferred: experience designing and implementing semantic layers and enterprise metrics frameworks • Preferred: experience supporting AI/ML initiatives involving LLMs, RAG, embeddings and vector-based search, text-to-SQL applications, AI agents, AI-ready data interfaces, and MCP • Preferred: experience with feature engineering and machine learning pipelines • Preferred: advanced degree in Computer Science, Data Science, Analytics, or a related discipline • Preferred: experience working with large institutional, research, or enterprise datasets

🏖️ Benefits

• 9-month contract opportunity • Remote work arrangement

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