Data Engineer III

Your Role

• Lead the design and development of scalable, secure, and high-performance data architectures that support enterprise analytics and operational workloads.
• Design, implement, and optimize data pipelines and integration frameworks for batch, streaming, and real-time processing.
• Partner with data architects and technical leadership to define standards, patterns, and best practices for data modeling, governance, and platform design.
• Develop and maintain conceptual, logical, and physical data models to support evolving business requirements and enterprise data strategies.
• Contribute to the architecture and evolution of modern data platforms including data lakes, lakehouses, and cloud-native data warehouses.
• Lead efforts to optimize data pipelines that support AI, machine learning, and advanced analytics workloads.
• Implement and productionize feature engineering pipelines, model data pipelines, and real-time inference capabilities.
• Integrate AI/ML models into production environments using tools such as AWS SageMaker, Azure Machine Learning, or Databricks.
• Provide technical leadership and mentorship to junior data engineers, supporting code reviews, design discussions, and engineering best practices.
• Collaborate with engineers, analysts, architects, and business stakeholders to align data solutions with organizational goals.
• Evaluate emerging technologies and recommend improvements to data platform architecture, performance, and scalability.
• Participate in architecture discussions and contribute to enterprise data strategy, ensuring solutions align with long-term platform goals.

Requirements

• BA/BS/Master’s degree in Computer Science, Information Systems, Data Science, or related field.
• 5–8 years of experience in data engineering, data architecture, or related roles delivering scalable data platforms from design through production.
• Strong experience developing software using .NET or other object-oriented programming languages in Agile environments.
• Proven experience designing and implementing enterprise-scale data pipelines and cloud-based data platforms.
• Proficient technical skills in: Spark, Scala, C#, PySpark, Data Lake, Delta Lake, relational and NoSQL databases, AWS Glue, and Azure Synapse.
• Advanced experience with SQL, ETL/ELT frameworks, and data modeling techniques.
• Experience designing solutions on cloud platforms (AWS, Azure, GCP) including modern data lake and lakehouse architectures.
• Working knowledge of data governance, security, and compliance frameworks.
• Experience contributing to data architecture decisions, platform design, and long-term data strategy.
• Strong collaboration and leadership skills with the ability to guide technical teams and influence stakeholders.
• 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.
• Experience with big data technologies such as Spark and Kafka.
• Experience with modern data warehouses (Snowflake, Redshift, BigQuery).
• Familiarity with machine learning pipelines and real-time analytics.
• Experience contributing to enterprise data architecture and governance initiatives.
• Strong communication skills with the ability to present technical solutions to both engineering teams and business stakeholders.
• Experience in client-facing consulting environments, helping guide data platform strategy and implementation.

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.