Senior Analytics Engineer

MSR Technology Group; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

MSR Technology Group seeks a Senior Analytics Engineer to lead analytics data architecture, semantic models, and AI-ready data pipelines. You will architect scalable data models and enterprise data products, building lakehouse solutions with dbt, SQL, Python, S3, Iceberg, and Trino.

You will govern semantic layers and metrics while enabling AI/ML initiatives. The role requires 8+ years in analytics/data engineering, expert SQL/Python, and hands-on experience with cloud lakehouses and

Qualifications

• Bachelor's degree or equivalent experience in CS/Data Science/Info Systems.
• 8+ years in Analytics/Data Engineering or related roles.
• Expert SQL and Python programming.
• Hands-on with dbt or similar data transformation frameworks.
• Strong data architecture, modeling, and semantic layer knowledge.
• Experience with cloud lakehouse tech (AWS S3, Iceberg, Trino).
• Experience with Dagster or similar workflow orchestration tools.
• Experience supporting AI/ML initiatives, including embeddings and Text-to-SQL.
• Strong Git, CI/CD, automated testing, data quality and observability.
• Excellent communication and mentoring skills.

Responsibilities

• Architect scalable analytics data models and enterprise data products.
• Design lakehouse architectures using dbt, SQL, Python, S3, Iceberg, and Trino.
• Build and govern semantic layers, metrics, and metadata frameworks.
• Develop AI-ready data solutions for LLMs, RAG, embeddings, and Text-to-SQL.
• Design and optimize production-grade data pipelines using Dagster and AWS.
• Establish engineering standards for Git, CI/CD, testing, and data quality.
• Lead initiatives, review code, and mentor teams.
• Collaborate with Data, AI Engineering, and business stakeholders.

Skills

SQL

Python

dbt

Dagster

Data modeling

Data architecture

Git

CI/CD

Data governance

Communication

Education

Bachelor's degree in CS / Data Science / Info Systems or related field

Tools

AWS S3

Trino

Apache Iceberg

Dagster

Job description

MSR Technology Group has been recognized as an Inc. 500/5000 company for seven consecutive years!

We are looking for an experienced Senior Analytics Engineer to join our team and lead the development of modern analytics data architecture, semantic models, and AI-ready data pipelines.

This is an exciting opportunity for a senior technical professional who has strong expertise in Analytics Engineering, Data Engineering, Data Architecture, and AI/ML integration.

Key Responsibilities

• Architect and develop scalable analytics data models and enterprise data products.
• Design modern lakehouse architectures using dbt, SQL, Python, Amazon S3, Apache Iceberg, and Trino.
• Build and govern semantic layers, enterprise metrics, business logic, and metadata frameworks.
• Develop AI-ready data solutions supporting LLMs, AI agents, RAG, embeddings, and Text-to-SQL.
• Design and optimize production-grade data pipelines using Dagster and AWS services.
• Establish engineering standards for Git, CI/CD, automated testing, data quality, and observability.
• Lead technical initiatives, conduct code reviews, and mentor engineering teams.
• Collaborate with Data Engineering, AI Engineering, and business stakeholders.

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field, or equivalent experience.
• 8+ years of experience in Analytics Engineering, Data Engineering, or related technical roles.
• Expert-level SQL and Python programming skills.
• Strong hands-on experience with dbt or similar data transformation frameworks.
• Deep understanding of data architecture, data modeling, and semantic layer design.
• Experience with cloud lakehouse technologies such as AWS S3, Apache Iceberg, and Trino.
• Hands-on experience with Dagster or similar workflow orchestration tools.
• Experience supporting AI/ML initiatives, including LLMs, RAG, embeddings, and Text-to-SQL.
• Strong knowledge of Git, CI/CD, automated testing, data governance, and data quality.
• Excellent communication, technical leadership, and mentoring skills.

Preferred Skills

• Experience with Model Context Protocol (MCP).
• Knowledge graphs and context engineering.
• AI-powered analytics and enterprise semantic frameworks.
• Experience designing ML feature engineering and embedding pipelines.

Employment Type: W2 Contract

Work Authorization: Please specify your current US work authorization.

MSR Technology Group is an Equal Opportunity Employer (EOE).