Data Engineer II: Big Data & Insights Architect

Garmin; Boulder (CO); On-site; USD 105,000 - 145,000; Full time

Job summary

Garmin seeks a Data Engineer 2 for its U.S. headquarters in the Greater Kansas City area. The role focuses on data development and ensuring operational stability of Big Data ecosystems.

You will contribute to feature development plans, optimize ETL, and work across teams to implement scalable architectures. The position requires a Bachelor’s degree and at least 2 years of relevant experience, with hands-on experience in Spark, Hadoop, SSIS, and data visualization tools.

Qualifications

• Bachelor’s degree and at least 2 years of relevant data engineering experience.
• Experience with Star Schema Modeling, Spark, or Hadoop.
• Experience developing SSIS packages or similar ETL for data integration.
• Experience tuning ETL jobs to run at scale.
• Experience writing complex queries across disparate systems.
• Experience with Java, Hadoop components, and data visualization.
• Strong communication and documentation skills.

Responsibilities

• Provides technical input to feature development plans and concept documents.
• Configures and administers data servers and Hadoop components.
• Develops scalable data architectures using big-data technologies.
• Analyzes data structures and recommends improvements.
• Leads incident troubleshooting and develops reliable solutions.
• Participates in design, code, test, and maintenance phases of software life cycle.
• Guides POCs with design, coding, and performance measurement.
• Contributes to team roadmap and priorities and discusses innovations.

Skills

Star Schema Modeling

ETL/Tuning

Data Visualization

Verbal and Written Communication

Education

Bachelor’s Degree in CS/IT/MIS/Business

Tools

Spark

Hadoop

SSIS

PowerBI

Java

Job description

Garmin seeks a Data Engineer 2 for its U.S. headquarters in the Greater Kansas City area. The role focuses on data development and ensuring operational stability of Big Data ecosystems.

You will contribute to feature development plans, optimize ETL, and work across teams to implement scalable architectures. The position requires a Bachelor’s degree and at least 2 years of relevant experience, with hands-on experience in Spark, Hadoop, SSIS, and data visualization tools.