Data Engineer II

Your Role

• Participate in the design and implementation of scalable, secure, and high-performance data architectures.
• Develop and maintain conceptual, logical, and physical data models.
• Work closely with architects to define standards for data integration, quality, and governance.
• Collaborate 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 that support 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 tools such as AWS SageMaker, Azure Machine Learning, or Databricks.
• Assess, learn, and apply emerging data technologies and frameworks to enhance solutions and stay current with industry trends.

Requirements

• 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.