Senior Data Engineer

About the role

Daxko builds the software that powers fitness, wellness, and community organizations. As a Senior Data Engineer, you'll design and build scalable data pipelines that support reporting, analytics, and platform needs across Daxko's product lines. You'll work cross-functionally to expand how data is understood and used, and mentor junior and mid-level engineers.

Responsibilities

• Design, build, and maintain scalable data pipelines supporting reporting, analytics, and platform needs across Daxko’s product lines
• Own data architecture decisions at the product level, including schema design, data modeling, and ETL/ELT strategy using Kimball dimensional modeling and star-schema patterns
• Identify pipeline bottlenecks and performance gaps, then implement durable fixes that improve data reliability and freshness
• Lead and contribute to code and design reviews, giving actionable feedback grounded in data engineering best practices
• Partner cross-functionally with Data Science, Product, and Engineering to expand how data is understood and used across the organization
• Mentor junior and mid-level engineers, shaping team standards and driving a culture of technical quality
• Evaluate and adopt emerging data tools and methodologies to improve team velocity and platform capability

Requirements

• 4+ years of experience in data engineering or a closely related software engineering discipline
• Expert-level SQL/TSQL skills and deep experience with query optimization and data storage
• Proficiency in Python for pipeline and application development
• Hands-on experience with columnar databases and cloud-native platforms such as Snowflake, Amazon Redshift, or Databricks
• Experience designing ETL/ELT workflows and dimensional data models (Kimball methodology is a strong plus)
• A track record of writing well-tested, production-grade code and working within Agile delivery frameworks
• Clear communication skills, with the ability to explain complex data decisions to both technical and non-technical stakeholders

Qualifications

• Expert-level SQL/TSQL skills and deep experience with query optimization and data storage
• Proficiency in Python for pipeline and application development
• Hands-on experience with columnar databases and cloud-native platforms such as Snowflake, Amazon Redshift, or Databricks
• Experience designing ETL/ELT workflows and dimensional data models (Kimball methodology is a strong plus)
• A track record of writing well-tested, production-grade code and working within Agile delivery frameworks
• Clear communication skills, with the ability to explain complex data decisions to both technical and non-technical stakeholders

Skills

• Expert-level SQL/TSQL skills and deep experience with query optimization and data storage
• Proficiency in Python for pipeline and application development
• Hands-on experience with columnar databases and cloud-native platforms such as Snowflake, Amazon Redshift, or Databricks
• Experience designing ETL/ELT workflows and dimensional data models (Kimball methodology is a strong plus)
• A track record of writing well-tested, production-grade code and working within Agile delivery frameworks
• Clear communication skills, with the ability to explain complex data decisions to both technical and non-technical stakeholders

Benefits

• Flexible paid time off
• Affordable health, dental, and vision insurance options
• Monthly fitness reimbursement
• 401(k) matching
• Great perks

Pay

The pay range for this role is $104,100 – $164,900 per year.