Data & AI Engineer II

Description

Design and build trusted enterprise data foundations and production-ready AI agents that transform business workflows and deliver measurable business value. As a Data & AI Engineer II at 27Global, you'll design lakehouse architectures, pipelines and governed datasets for real clients, and work at the leading edge of AI and agentic solutions alongside architects, consultants and engineers who will help you grow fast.

27Global is a fast-growing technology partner specializing in software, cloud, and data engineering, and increasingly at the forefront of AI and agentic solutions.  We pride ourselves on the quality of the services we deliver, the clients we serve, and the strength of our culture. Our commitment to our employees is evident by our multiple  Best Places to Work awards. 

Joining 27Global as a Data & AI Engineer II is an exciting high-growth opportunity with a competitive base salary, performance bonuses and variable compensation, plus dedicated time for learning and certifications.

Your Role:

• Participate in the design and implementation of scalable, secure, and high-performance data architectures, including lakehouse (medallion) and cloud-native warehouse patterns
• Build and maintain batch, streaming and real-time pipelines with automated testing, data quality checks and monitoring
• Develop conceptual, logical and physical data models, applying architects' standards for integration, quality and governance
• Build data foundations and the AI Agents: governed datasets, retrieval indexes, vector stores and controlled access to data and tools
• Implement preprocessing, feature engineering and real-time inference data flows, and support deploying models with AWS SageMaker, Azure Machine Learning or Databricks.
• Support AI readiness assessments and proofs of concept by profiling client data for quality, PII/PHI controls, lineage and access gaps, and monitor pipelines for quality, drift and cost
• Support operational visibility for data and AI workloads, including pipeline monitoring, data quality and drift alerting, cost awareness, and the data needed to trace and evaluate AI outputs
• Collaborate with clients and teams (onshore and offshore), present findings and recommendations, join code reviews, and keep learning emerging data and AI tools

Requirements

 What You Bring:

• BA/BS/Master’s degree in Computer Science, Information Systems, Data Science, or related field
• 2 - 4  years of experience in data architecture, data engineering, or related roles delivering scalable architecture  solutions from design to production
• 2 - 4  years of  experience writing  .Net  code or other OOP languages in an Agile environment
• Demonstrated leadership skills with the ability to collaborate with and lead on-shore and off-shore team members
• Proficient technical skills in: Spark, Scala, C#, PySpark, Data Lake,  Delta Lake, Relational and NoSQL Databases, AWS Glue and Azure Synapse
• Experience with SQL, ETL/ELT, and data modeling
• Experience with cloud platforms (AWS, Azure, GCP) and implementing modern data platforms with data lake
• Knowledge of data governance, security, and compliance frameworks
• Ability to context switch and work on a variety of projects over specified periods of time
• Ability to work at the 27Global office in Leawood, KS with hybrid work flexibility after 90 days, and occasionally onsite at client offices
• Flexibility to occasionally travel to client sites may be required, typically 1 week per quarter or less
• Legal authorization to work in the United States and the ability to prove eligibility at the time of hire

Ways to Stand Out:

• Certifications: AWS Solution Architect, Azure Data Engineer, Databricks Data Engineer 
• Hands-on experience with Databricks for building and optimizing scalable data pipelines, Delta Lake, and Spark-based analytics
• Hands-on experience with big data tools (Spark, Kafka)
• Modern data warehouses (Snowflake, Redshift, BigQuery)
• Familiarity with machine learning pipelines and real-time analytics
• Strong communication skills and ability to influence stakeholders
• Prior experience implementing enterprise data governance frameworks
• Experience in a client-facing role, working directly with clients from multiple levels of the organization; often presenting and documenting client environment suggestions and improvements

Why 27G?

• Four-time award winner of Best Place to Work by the Kansas City Business Journal
• A casual and fun small business work environment
• Competitive compensation, benefits, time off, profit sharing, and quarterly bonus potential.
• Dedicated time for learning, development, research, and certifications