Horizon Air Freight · 21 hours ago
Data Engineer
Horizon Air Freight is seeking a Data Engineer to develop and maintain data pipelines and manage data warehouse solutions. The role involves ensuring data quality and collaborating with stakeholders to support analytics and reporting needs.
AerospaceFreight ServiceLogistics
Responsibilities
Design, implement, and maintain automated data pipelines to ingest, transform, and deliver data across multiple systems
Build and manage data connectors using tools such as Fivetran or custom integrations to ensure seamless data flow from source systems (e.g., CRM, ERP, application databases)
Maintain and optimize our Amazon Redshift data warehouse to ensure high performance, scalability, and cost efficiency
Monitor, troubleshoot, and improve query performance and warehouse utilization
Implement data partitioning, clustering, compression, and other optimization strategies
Establish and enforce best practices for data modeling, transformation, and validation
Ensure data accuracy, consistency, and timeliness across all downstream systems
Collaborate with stakeholders to define data requirements and establish a single source of truth
Partner with analysts, BI developers, and data scientists to deliver reliable datasets for reporting and advanced analytics
Work with cross-functional teams to identify and prioritize data engineering initiatives
Document data pipelines, models, and workflows to support transparency and maintainability
Evaluate and implement new tools, frameworks, and technologies to improve efficiency and scalability
Drive automation and innovation in data engineering practices
Qualification
Required
Design, implement, and maintain automated data pipelines to ingest, transform, and deliver data across multiple systems
Build and manage data connectors using tools such as Fivetran or custom integrations to ensure seamless data flow from source systems (e.g., CRM, ERP, application databases)
Maintain and optimize our Amazon Redshift data warehouse to ensure high performance, scalability, and cost efficiency
Monitor, troubleshoot, and improve query performance and warehouse utilization
Implement data partitioning, clustering, compression, and other optimization strategies
Establish and enforce best practices for data modeling, transformation, and validation
Ensure data accuracy, consistency, and timeliness across all downstream systems
Collaborate with stakeholders to define data requirements and establish a single source of truth
Partner with analysts, BI developers, and data scientists to deliver reliable datasets for reporting and advanced analytics
Work with cross-functional teams to identify and prioritize data engineering initiatives
Document data pipelines, models, and workflows to support transparency and maintainability
Evaluate and implement new tools, frameworks, and technologies to improve efficiency and scalability
Drive automation and innovation in data engineering practices
Preferred
Experience with Amazon Redshift or other cloud data warehouses
Hands-on experience with Fivetran, dbt, Airflow, or similar ETL/ELT tools
Strong SQL skills and familiarity with query optimization techniques
Proficiency in Python or another programming language for data engineering
Familiarity with data modeling concepts (Kimball, Data Vault, star/snowflake schemas)
Experience working in a collaborative, fast-paced environment
Comfortable helping inform decisions about new pipeline architecture - and should not shy away from breaking new ground in our data maturation. This includes being comfortable with change and building something from nothing
Company
Horizon Air Freight
Horizon Air Freight provides international routing air and sea freight export services to customers.
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
ICV Partners
2024-08-26Acquired
2019-10-03Private Equity
Recent News
2025-11-21
2025-05-08
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