Data Engineer (Integration, Support, and Administration) #3392912

Job Description

Job Description

Be Part of a Dynamic Team: Join a forward-thinking organization where innovation meets real-world industrial challenges. As a Data & Integrations Engineer, you'll contribute to a collaborative team focused on scaling data systems and powering strategic insights across the business. If youre early in your tech career and passionate about building resilient, scalable solutions in a cloud-driven environment, this is your launchpad.

Whats In Store For You:

• Exposure to leading cloud technologies including AWS and Snowflake
• A supportive environment for early-career professionals committed to continuous learning
• Involvement in meaningful integration projects impacting enterprise operations
• Mentorship and growth opportunities in data architecture and engineering

How You Will Make An Impact:

• Maintain and support Snowflake and AWS data infrastructure, including job monitoring, user account setup, and data modeling
• Ensure system uptime, reliability, and data backup strategies are consistently executed
• Translate business needs into effective data solutions that align with long-term IT strategy
• Develop, manage, and update data models with a focus on structure, quality, and governance
• Support data migration projects and API/web service integrations, particularly around Microsoft Dynamics 365 Finance & Supply Chain
• Contribute to CI/CD processes using tools like GitHub Actions or AWS CodeBuild
• Produce ad-hoc data extracts and support troubleshooting for integration and data transformation issues
• Collaborate cross-functionally with business analysts, architects, and report developers to support enterprise data initiatives

Are You a Data & Integrations Engineer Rock Star?

• Bachelors degree in Computer Science, IT, or a related field
• 12 years of experience writing advanced SQL, preferably in a cloud-based warehouse like Snowflake
• Familiarity with Python, Java, or Groovy through coursework or personal projects
• Exposure to data warehouse design (e.g., star-schema), DevOps, and distributed data processing
• Understanding of APIs, data pipelines, and web services (REST/SOAP)
• Comfortable navigating Unix/Linux/Windows environments
• Eager to learn, collaborate, and contribute in a fast-paced setting
• Bonus points for experience with Power BI, Apache Airflow, dbt, Postman, or AWS integration tools

#Dice