Norwegian Cruise Line Holding
CloudDataEngineer
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“Cloud Data Engineer at Norwegian Cruise Line Holding. Skills: Cloud-based data pipelines, ELT workflows, Snowflake, dbt, Data modeling, Workflow orchestration. Build, test, and support ELT pipelines using Matillion and dbt to ingest and transform data into Snowflake. Onboard new source data and maintain existing ingestion workflows”
Industry & Context.
Analytical thinking; Troubleshooting job failures; Resolving upstream/downstream dependencies
Participate in a rotational on-call schedule, including evenings or weekends, to help resolve data pipeline or platform incidents
What They're Looking For.
Must Have
Bachelor's Degree in Computer Science, Engineering or other related field of study, 1–2 years of experience in data engineering, analytics, or a related role (internships included), Solid working knowledge of SQL, Basic understanding of ELT concepts and job scheduling/orchestration (e. g. , Control-M), Exposure to enterprise data environments and production data workflows
Nice to Have
Familiarity with Snowflake, dbt, or comparable cloud data warehouse tools, Familiarity with Salesforce data structures or integrations, Exposure to OneTrust, data privacy, or consent-driven data controls, Introductory experience with Python for data or automation tasks, Familiarity with BI tools (Tableau, Power BI, Looker)
What You'll Do.
and support ELT pipelines using Matillion and dbt to ingest and transform data into Snowflake
Onboard new source data and maintain existing ingestion workflows
version-controlled dbt models aligned with business and analytics requirements
Support dimensional and analytical modeling efforts
Schedule and monitor data workflows using Control-M
Troubleshoot job failures and resolve upstream/downstream dependencies
Help manage Snowflake warehouses
Support performance tuning
and basic access control requests
Implement and monitor basic data quality checks and freshness validations
Support privacy and consent workflows by integrating data outputs with OneTrust controls
Ensure downstream data usage aligns with compliance and marketability requirements
Support data feeds into platforms such as Salesforce Marketing Cloud or other marketing and analytics tools
Partner with analysts and stakeholders to validate data outputs and resolve issues
Maintain clear documentation for pipelines
and operational procedures
Contribute to team standards
How You'll Work.
Team & Collaboration
Partner with analysts and stakeholders to validate data outputs and resolve issues; Contribute to team standards, naming conventions, and best practices
Full Job Description
**APPLY ONLINE** If you’re interested to be considered for this position, please click the blue APPLY button at the top of the page to get started. All candidates must complete an on-line application to be considered. **JOB SUMMARY** The Cloud Data Developer supports the development and operation of cloud-based data pipelines that power analytics, marketing operations, and reporting across the organization. This role focuses on building reliable ELT workflows, supporting Snowflake environments, and ensuring data quality, governance, and operational stability for marketing and data privacy teams. This position is well-suited for early-career engineers looking to grow within a modern data stack centered on Snowflake, dbt, and enterprise orchestration tools, with exposure to privacy, compliance, and downstream marketing activation platforms. **POSITION RESPONSIBILITIES** * **Data Pipeline Development** * Build, test, and support ELT pipelines using **Matillion** and **dbt** to ingest and transform data into **Snowflake**. * Assist with onboarding new source data and maintaining existing ingestion workflows. * **Data Modeling & Transformation** * Develop modular, version-controlled **dbt** models aligned with business and analytics requirements. * Support dimensional and analytical modeling efforts under guidance from senior engineers. * **Workflow Orchestration** * Schedule and monitor data workflows using **Control-M** , ensuring reliable and timely execution. * Assist in troubleshooting job failures and resolving upstream/downstream dependencies. * **Snowflake Environment Support** * Help manage Snowflake warehouses, schemas, and roles under established governance standards. * Support performance tuning, cost awareness, and basic access control requests. * **Data Quality, Privacy & Governance** * Implement and monitor basic data quality checks and freshness validations. * Support privacy and consent workflows by integrating data outputs with **OneTrust** controls. *
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