Cloud Data Engineer

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. Assist in ensuring downstream data usage aligns with compliance and marketability requirements. Downstream Enablement 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. Documentation & Standards Maintain clear documentation for pipelines, models, and operational procedures. Contribute to team standards, naming conventions, and best practices. Other job duties Maybe asked to participate in a rotational on-call schedule, including evenings or weekends, to help resolve data pipeline or platform incidents.

QUALIFICATIONS

DEGREE TYPE

Bachelor's Degree

FIELD(S) OF STUDY

Computer Science, Engineering or other related field of study.

EXPERIENCE

1–2 years of experience in data engineering, analytics, or a related role (internships included). Solid working knowledge of SQL. Familiarity with Snowflake, dbt, or comparable cloud data warehouse tools. Basic understanding of ELT concepts and job scheduling/orchestration (e.g., Control-M). Exposure to enterprise data environments and production data workflows. Strong analytical thinking, attention to detail, and collaboration skills.

COMPETENCIES & SKILLS

Experience with cloud data platforms such as Snowflake. Experience with dbt/Matillion or similar ELT tools. Familiarity with Salesforce data structures or integrations. Exposure to OneTrust, data privacy, or consent-driven data controls. Experience using Git and basic CI/CD concepts. Introductory experience with Python for data or automation tasks. Familiarity with BI tools (Tableau, Power BI, Looker).

EQUAL OPPORTUNITY EMPLOYER

It is Norwegian Cruise Line Holding’s policy not to discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, and marital or veteran status. The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. #J-18808-Ljbffr SwiftCruit