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Internship Matillion Jobs (NOW HIRING)

Internship Matillion information

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$6

$16

$23

How much do internship matillion jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for internship matillion in the United States is $16.33, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Internship Matillion vs Data Engineer?

AspectInternship MatillionData Engineer
Required CredentialsBasic understanding of data tools, coursework, or certificationsBachelor's or higher in Computer Science, relevant certifications
Work EnvironmentInternship setting, training-focused, collaborative teamsFull-time, technical environment, project-driven
Industry UsageUsed for entry-level training in data integration toolsDevelops and maintains data pipelines in organizations

Internship Matillion roles are designed for beginners gaining experience with data integration tools, often as part of training programs. Data Engineers are experienced professionals responsible for building and managing data infrastructure. While internships focus on learning, data engineering roles require technical skills and experience in data management.

More about Internship Matillion jobs
What are the most commonly searched types of Matillion jobs? The most popular types of Matillion jobs are:
Infographic showing various Internship Matillion job openings in the United States as of June 2026, with employment types broken down into 4% Internship, 2% As Needed, 73% Full Time, 20% Part Time, and 1% Temporary. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $33,957 per year, or $16.3 per hour.

$109K - $131K/yr

Full-time

Posted 15 days ago


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.
    • 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.