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Data Engineer Intern job at Dominium Plymouth, MN, US - darpl.co.in

Data Engineer Intern Job at Dominium, Plymouth, MN

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  • Dominium
  • Plymouth, MN

Job Description

Dominium is helping tackle the affordable housing crisis – and we’re looking for motivated candidates to join our team and help further our mission. With offices in Minneapolis, Atlanta, Dallas and Phoenix, Dominium is one of the nation’s most respected and innovative affordable housing development and management companies. We create quality, affordable homes and engage with our residents daily to create a strong sense of community and connectivity.

Join us in making a difference in people’s lives every day at a company where you can challenge yourself to develop both personally and professionally.

Position Summary

The Data Engineer Intern will use business analytics and data engineering to maintain scalable databases and enhance documentation. This role will provide support in improving and refactoring existing data ingestion through testing and automation projects. This role will support software projects across the organization by enabling high-quality, well-structured data models and warehouse solutions.

Essential Functions

  • Document and map data elements, calculations, and requirements for existing Development App Power BI reports.
  • Review documentation with Data Engineering to ensure completeness
  • Ingest additional data from established pipelines (e.g., SQL Server to Snowflake via Azure Data Factory).
  • Automate the ingestion of various new data streams into Snowflake with notifications when new data is published.
  • Work with stakeholders to identify business use cases.
  • Ensure data is properly formatted and organized, including historical data.
  • Understand entity relationships and create ERDs for a SQL Server database.
  • Improve and refactor existing data ingestion services by increasing test coverage.
  • Fix low-priority bugs and enhance documentation.
  • Implements data validation, monitoring, and security best practices.
  • Ensures compliance with data governance policies, including access control and privacy requirements.
  • Additional projects as assigned.

QUALIFICATIONS: (Knowledge, Skills, Abilities, Education, Training and Experience.)

  • Recently acquired or in the process of earning a Bachelor’s degree in Computer Science, Data Engineering, or a related field within the previous 12 months
  • Ability to accept delegated assignments, work with moderate independence
  • Must have time management skills to handle multiple projects on short deadlines
  • Strong verbal and written communication skills, with the ability to communicate clearly and professionally in English.
  • Excellent interpersonal skills with the ability to collaborate effectively with various stakeholders.
  • Proficiency in Microsoft Office Suite, including Word, Excel, Access, and PowerPoint.

PAY: $27/hour

About Us: Dominium is one of the leading affordable housing development and property management companies nationwide. We operate in approximately 20 states and employ over 1,200 employees. For 50 years, we have offered excellence to the development and management of affordable housing communities across the United States. Dominium’s values – creating long-term value, developing people, integrity, and growth – are built upon our company’s mission and vision. We offer a competitive salary, incentive bonus program, training and development programs, career growth opportunities and community volunteer and outreach programs. We also offer a comprehensive benefits package for eligible employees including Medical, Dental, Life & Disability, Paid Time Off, 401(K), Flexible Spending Accounts, Employee Recognition & Wellness Programs.

Dominium is committed to a diverse and inclusive workplace. Dominium is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Tags

Flexible hours,

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