Data Warehouse Engineer | Remote

Crossing Hurdles; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

Crossing Hurdles is seeking a data engineer to design, build, and optimize scalable ETL pipelines, enabling ingestion and transformation from multiple sources in our data warehouse environment.

You will collaborate with product and analytics teams to understand data requirements, ensure data quality, security, and performance, and document data flows and system designs clearly.

Qualifications

• Expert-level MySQL for complex queries and schema design.
• Strong Python programming for data manipulation and automation.
• Hands-on experience building ETL pipelines in production.
• Knowledge of data warehousing concepts and best practices.
• Excellent written and verbal communication for documentation and collaboration.

Responsibilities

• Design, build, and maintain scalable ETL pipelines.
• Develop and optimize data models within data warehousing environments.
• Collaborate with cross-functional teams to understand data requirements.
• Monitor, troubleshoot, and enhance data infrastructure for performance.
• Ensure data accuracy, consistency, and security across platforms.
• Document technical processes, system designs, and data flows clearly.

Skills

MySQL proficiency

Python programming

ETL pipelines

Data warehousing concepts

Communication

Job description

Responsibilities

• Design, build, and maintain scalable ETL pipelines to support data ingestion, transformation, and integration from multiple sources.
• Develop and optimize logical and physical data models within modern data warehousing environments.
• Collaborate closely with cross-functional teams to understand data requirements and deliver reliable data solutions.
• Monitor, troubleshoot, and enhance data infrastructure for optimal performance and scalability.
• Ensure data accuracy, consistency, and security across all platforms and solutions.
• Document technical processes, system designs, and data flows with clarity and precision.

Qualifications

• Have expert-level proficiency in MySQL for complex querying, schema design, and performance tuning.
• Possess strong programming skills in Python for data manipulation and automation.
• Have hands-on experience building and maintaining ETL pipelines in production environments.
• Demonstrate expertise with data warehousing concepts and best practices.
• Have excellent written and verbal communication skills, focusing on clear documentation and collaborative problem-solving.