Data Engineer II

Description

Leawood, KS

27

Global 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.

As a Data Engineer II, you’ll be responsible for contributing to the design and development of enterprise data solutions that support analytics, business intelligence, and scalable applications. You’ll work closely with data and software architects, consultants and other engineers to deliver data models, integration strategies, and governance practices that empower client’s data-driven decisions.

Joining 27

Global as a Consultant is an exciting, high-growth opportunity offering a competitive base salary, performance bonuses, and variable compensation incentives.

• 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 Sage Maker, Azure Machine Learning, or Databricks.
• Assess, learn, and apply emerging data technologies and frameworks to enhance solutions and stay current with industry trends.

• 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 No
  
  SQL 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 27
  
  Global 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

• 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, Big Query)
• 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

• 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