Data Engineer: Scalable Pipelines & Platform Lead

Sporting Kansas City

Kansas City (KS)

On-site

USD 110,000 - 140,000

Full time

8 days ago

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Job summary

Sporting Kansas City seeks a Data Engineer to lead design, development and maintenance of scalable data infrastructure and pipelines, ensuring high-quality data for analysis and decision-making across the Club.

You will provide stakeholders with clean, reliable data and collaborate with coaches, analysts, and IT to drive governance, accessibility and data integration across systems. The role emphasizes building a robust data ecosystem for actionable insights.

Qualifications

  • Bachelor's degree in computer science, data science or related STEM subject.
  • Significant experience in a Data Engineering or similar role.
  • Proven experience designing, developing and maintaining data pipelines, data models and database schemas.
  • Robust experience using both SQL and Python for data cleaning, engineering, transformation and automation workflows.
  • Experience working with modern cloud-based data infrastructure (Azure, AWS or GCP).
  • Experience implementing best-in-practise data orchestration, version control, governance and other data best practices
  • Creative and curious problem solver with a positive attitude to new challenges.
  • Proactive and eager to learn, able to pick up new skills and work as part of a team.
  • Excellent attention to detail and evidence of working on developing strong analytical skills.
  • Evidence of excellent communication skills, able to translate technical concepts into practical solutions.

Responsibilities

  • Work with stakeholders to understand data needs and translate them into scalable solutions.
  • Develop strong relationships with the wider Data and Analytics team, promoting best practices in data management, governance and accessibility.
  • Collaborate with IT to ensure data protection and compliance policies are upheld and central to practices.
  • Lead the design, development and maintenance of scalable ETL/ELT pipelines to support tooling, platforms and reports for decision-making.
  • Ensure reliable and consistent data collection, validation, monitoring, testing, transformation and delivery processes.
  • Lead the implementation of high-quality standards for data storage, version control, schema documentation and governance.
  • Continuously evaluate and develop workflows, infrastructure and practices to maximize reliability.
  • Evaluate emerging technologies to keep SKC current with engineering best practice.
  • Lead the development and maintenance of SKC’s centralized data platform and APIs, enabling efficient data access.

Skills

SQL
Python
ETL Pipelines
Data Modeling
Cloud Platforms
Data Governance
Version Control
Data Visualization
Communication
Analytical Skills

Education

Bachelor's degree in Computer Science / Data Science / related STEM

Tools

Tableau
Airflow
PostgreSQL
Git

Job description

Sporting Kansas City seeks a Data Engineer to lead design, development and maintenance of scalable data infrastructure and pipelines, ensuring high-quality data for analysis and decision-making across the Club.

You will provide stakeholders with clean, reliable data and collaborate with coaches, analysts, and IT to drive governance, accessibility and data integration across systems. The role emphasizes building a robust data ecosystem for actionable insights.

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