Data Engineering Intern: Build Cloud Pipelines & Models

The Waldinger Corporation; Des Moines (IA); On-site; USD 25,000 - 33,000; Part time

Benefits offered by this job

Hands-on cloud data stack

Mentorship from data professionals

Growth potential

Job summary

The Waldinger Corporation in Des Moines, IA is offering a Data Engineering Intern role to support the Data Platforms team. You will gain hands-on experience with Snowflake, dbt, and Power BI while building data pipelines and reports under senior guidance.

Responsibilities include data pipelines, modeling, automation, data quality, and collaboration with engineers and business stakeholders to enable analytics.

Qualifications

• Current student or recent graduate in computer science, information systems, data analytics, or a related field.
• Some SQL experience and a strong interest in data.
• Analytical, problem-solving, and communication skills.
• Preferred coursework or projects in data engineering or analytics.
• Familiarity with Snowflake, AWS, Azure, APIs, or messaging concepts.

Responsibilities

• Data Pipelines: build and maintain pipelines moving data into the cloud data warehouse.
• Data Modeling: develop SQL-based data models in Snowflake using dbt for dashboards.
• Automation: automate data workflows with Python and SQL; learn CI/CD with Git/GitHub.
• Data Quality: ensure data quality, security, and integrity; diagnose data issues.
• Collaboration: work with engineers, analysts, and stakeholders to understand data needs.

Skills

SQL experience

Analytical thinking

Communication

Education

Pursuing degree in CS/IS/Data analytics

Tools

Snowflake

dbt

Power BI

Job description

The Waldinger Corporation in Des Moines, IA is offering a Data Engineering Intern role to support the Data Platforms team. You will gain hands-on experience with Snowflake, dbt, and Power BI while building data pipelines and reports under senior guidance.

Responsibilities include data pipelines, modeling, automation, data quality, and collaboration with engineers and business stakeholders to enable analytics.