Senior Data Engineer: Scalable Data Platforms & ML

27Global; Leawood (KS); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Profit sharing

Quarterly bonus potential

Learning & certification time

Hybrid work after 90 days

Job summary

27Global in Leawood, KS is seeking a Data Engineer III to design and build enterprise data solutions supporting analytics, BI, and scalable apps. You will collaborate with data architects, engineers, and analytics teams to deliver data models, pipelines, and governance.

The role offers hybrid work after 90 days, occasional client-site visits, competitive base pay with bonuses, and opportunities to lead data platform initiatives across clouds (AWS/Azure).

Qualifications

• BA/BS/Master’s degree in Computer Science, Information Systems, Data Science, or related field.
• 5–8 years of experience delivering scalable data platforms.
• Experience designing enterprise-scale data pipelines and cloud data platforms.

Responsibilities

• Lead the design and development of scalable, secure data architectures for analytics and operational workloads.
• Design and optimize data pipelines for batch, streaming, and real-time processing.
• Partner with architects and leadership to define data modeling, governance, and platform standards.
• Develop conceptual, logical, and physical data models to support evolving business needs.
• Contribute to modern data platforms including data lakes, lakehouses, and cloud-native warehouses.
• Lead efforts to optimize data pipelines for AI/ML and advanced analytics workloads.
• Implement feature engineering pipelines and real-time inference in production.
• Integrate AI/ML models using AWS SageMaker, Azure ML, or Databricks.
• Provide technical leadership and mentor junior data engineers.
• Collaborate with stakeholders to align data solutions with goals.

Skills

Spark

Data modeling

SQL

Python

Education

BS in Computer Science

Tools

Databricks

Kafka

Snowflake

Job description

27Global in Leawood, KS is seeking a Data Engineer III to design and build enterprise data solutions supporting analytics, BI, and scalable apps. You will collaborate with data architects, engineers, and analytics teams to deliver data models, pipelines, and governance.

The role offers hybrid work after 90 days, occasional client-site visits, competitive base pay with bonuses, and opportunities to lead data platform initiatives across clouds (AWS/Azure).