[Hiring] Senior Analytics Engineer @Sigma Systems, Inc.

Role Description

Sigma Systems is seeking an experienced Senior Analytics Engineer for a 9-month contract opportunity supporting Boston University. This is an exciting opportunity for a senior-level Analytics Engineer or Data Engineer to design and build scalable, AI-ready data architectures that power enterprise reporting, advanced analytics, and artificial intelligence solutions.

The ideal candidate will bring extensive experience in:

• SQL
• Python
• dbt
• Data modeling
• Semantic layers
• Cloud data architecture
• Data pipeline orchestration

This professional will play a technical leadership role in developing trusted data models, enterprise metrics, and AI-ready data interfaces that enable Large Language Models (LLMs) and AI agents to reliably access and interpret institutional data.

Candidates with experience in modern data lakehouse technologies such as:

• Apache Iceberg
• Trino
• AWS
• Dagster

along with emerging AI technologies such as:

• RAG
• Embeddings
• Text-to-SQL
• Model Context Protocol (MCP)

are highly encouraged to apply.

Qualifications

• 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.

Requirements

• Experience with AWS cloud services, particularly Amazon S3.
• Hands-on experience with Apache Iceberg and Trino.
• Experience with dbt Core or dbt Cloud.
• Experience with Dagster or similar orchestration tools.
• Experience designing and implementing semantic layers and enterprise metrics frameworks.
• Experience supporting AI/ML initiatives involving:
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Embeddings and vector-based search
• Text-to-SQL applications
• AI agents and AI-ready data interfaces
• Model Context Protocol (MCP)
• Experience with feature engineering and machine learning pipelines.
• Advanced degree in Computer Science, Data Science, Analytics, or a related discipline.
• Experience working with large institutional, research, or enterprise datasets.

Technical Skills & Keywords

• SQL
• Python
• dbt
• Analytics Engineering
• Data Engineering
• Data Architecture
• Data Modeling
• Semantic Layer
• Data Warehousing
• Data Lakehouse
• AWS
• Amazon S3
• Apache Iceberg
• Trino
• Dagster
• Git
• CI/CD
• Data Pipelines
• Pipeline Orchestration
• Data Governance
• Metadata Management
• Data Quality
• Dimensional Modeling
• Enterprise Metrics
• AI Engineering
• Artificial Intelligence
• Machine Learning
• LLM
• Large Language Models
• RAG
• Retrieval-Augmented Generation
• Embeddings
• Text-to-SQL
• MCP
• Model Context Protocol
• Context Engineering
• Feature Engineering
• Cloud Data Architecture

Ideal Candidate Backgrounds

• Senior Analytics Engineer
• Lead Analytics Engineer
• Senior Data Engineer
• Lead Data Engineer
• Analytics Architect
• Data Architect
• Senior dbt Developer
• Data Platform Engineer
• AI Data Engineer
• Machine Learning Data Engineer
• Cloud Data Engineer
• Data Engineering Technical Lead

Contract Details

• Job Title: Senior Analytics Engineer – AI & Data Engineering
• Client: Boston University
• Duration: 9 Months Contract
• Location: Remote
• Work Arrangement: Remote
• Experience Required: 8+ Years