Data Engineer II

27Global is seeking a Data Engineer II to design and build enterprise data solutions that support analytics, business intelligence, and scalable applications. This role partners with data and software architects to deliver data models, integration strategies, and governance practices, including cloud-based platforms and AI/ML-ready pipelines.

Responsibilities

• Participate in the design and implementation of scalable, secure, and high-performance data architectures.
• Develop and maintain conceptual, logical, and physical data models.
• Collaborate with architects to define standards for data integration, quality, and governance.
• Work with engineers, analysts, and business stakeholders to align data solutions with organizational needs.
• Support cloud-based data strategies, including data warehousing, pipelines, and real-time processing.
• Design and optimize data pipelines for AI, machine learning, and advanced analytics workloads.
• Implement data preprocessing, feature engineering, and real-time inference capabilities for predictive modeling.
• Integrate AI/ML models into production environments using AWS SageMaker, Azure Machine Learning, or Databricks.
• Assess, learn, and apply emerging data technologies and frameworks to improve solutions and stay current with industry trends.

Requirements

• BA/BS/Master’s degree in Computer Science, Information Systems, Data Science, or a related field.
• 2 to 4 years of experience in data architecture, data engineering, or related roles delivering scalable architecture solutions from design to production.
• 2 to 4 years of experience writing .Net code or other OOP languages in an Agile environment.
• Demonstrated leadership skills, including the ability to collaborate with and lead on-shore and off-shore team members.
• Proficiency with: 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 support multiple projects over specified periods of time.
• Ability to work from the 27Global office in Leawood, KS with hybrid flexibility after 90 days, and occasional onsite work at client offices.
• Occasional 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.

Location and Work Model

Leawood, KS (hybrid). Hybrid work flexibility is available after 90 days, with occasional onsite presence at client offices and limited quarterly travel.

Relevant Technologies

• Spark, Scala, C#, PySpark
• Data Lake, Delta Lake
• Relational Databases, NoSQL Databases
• AWS Glue, Azure Synapse
• SQL, ETL/ELT
• AWS, Azure, GCP
• AWS SageMaker, Azure Machine Learning, Databricks
• Kafka, Snowflake, Redshift, BigQuery
• AWS Solution Architect, Azure Data Engineer, Databricks Data Engineer

Benefits

• Competitive base salary, performance bonuses, and variable compensation incentives.
• Competitive compensation, benefits, time off, profit sharing, and quarterly bonus potential.
• Dedicated time for learning, development, research, and certifications.

Ways to Stand Out

• Certifications such as AWS Solution Architect, Azure Data Engineer, and Databricks Data Engineer.
• Hands-on experience with Databricks building and optimizing scalable data pipelines, Delta Lake, and Spark-based analytics.
• Hands-on experience with big data tools including Spark and Kafka.
• Experience with modern data warehouses such as Snowflake, Redshift, and BigQuery.
• Familiarity with machine learning pipelines and real-time analytics.
• Strong communication skills and the ability to influence stakeholders.
• Prior experience implementing enterprise data governance frameworks.
• Experience in a client-facing role, working directly with clients at multiple organizational levels, including presenting and documenting environment recommendations 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.
• Dedicated time for learning, development, research, and certifications.