Internship Azure Data Engineer Jobs in Wisconsin

Responsible for independently designing, building, and maintaining scalable data pipelines and infrastructure to support company data-driven initiatives. Take ownership of complex data systems, implement best practices, and collaborate closely with cross-functional teams to ensure the availability, reliability, and performance of the organizations data platform.

Data Pipeline Development

• Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data
• Develop robust ETL/ELT processes to integrate data from diverse sources into the data ecosystem
• Implement data validation and quality checks to ensure accuracy and consistency
• Build analytical tools that provide practical insights into key business performance indicators
• Conduct code reviews

Data Modeling & Architecture

• Design and maintain data models, schemas, and database structures to support analytical and operational use cases
• Optimize data storage and retrieval mechanisms for performance and scalability
• Evaluate and implement data storage solutions including relational databases, NoSQL databases, data lakes, and cloud storage services
• Generate architecture recommendations and implement improvements

Data Infrastructure Management

• Configure and manage data infrastructure components including databases, data warehouses, data lakes, and distributed computing frameworks
• Monitor system performance, troubleshoot issues, and implement optimizations
• Implement data security controls and access management policies
• Plan and execute system expansion to support company growth and analytic need

Data Integration And Api Development

• Build and maintain integrations with internal and external data sources and APIs
• Implement RESTful APIs and web services for data access and consumption
• Ensure compatibility and interoperability between different systems and platforms
• Work with SaaS application APIs (Salesforce, Zuora, Zendesk, Marketo)

Collaboration & Leadership

• Collaborate with internal and external data scientists, analysts, and stakeholders to understand requirements and deliver solutions
• Document technical designs, workflows, and best practices
• Provide technical guidance and support to team members
• Perform technical interviews and contribute to hiring decisions

Bachelor's degree in computer science, data engineering, information systems, or related field or equivalent experience; master's degree preferred

5+ years of hands-on experience in data engineering or related roles

Professional experience using Python, Java, or Scala for data processing

Solid understanding of SQL and analytical data warehouses (Snowflake, Redshift)

Hands-on experience implementing ETL/ELT best practices at scale

Experience with data pipeline tools (Airflow, Luigi, Azkaban, dbt)

Strong data modeling skills and familiarity with Kimball methodology

Experience with big data technologies (Hadoop, Spark, Kafka, Hive)

Proficiency with cloud platforms (AWS, Azure, or GCP) and their data services

Experience with stream-processing systems preferred

Knowledge of Data Lifecycle Management processes preferred

Familiarity with Agile methodologies preferred

Understanding of data governance and security best practices

Relevant certifications (Google Professional Data Engineer, AWS Data Analytics, Cloudera CCP)

Excellent communication skills

Able to work independently and as part of a team

Willing to share knowledge and experience with other members of the team

Strong analytical and problem-solving skills

Attention to detail and commitment to data quality

Solid planning and organizational skills

Proficiency with Microsoft Office Suite of programs

Ability to effectively communicate at all levels within the organization through written and two-way verbal communication

Able to read and write at a high school graduate level

Able to sit or stand for extended periods of time

Able to operate various office equipment (e.g., personal computer, telephone, fax machine, copier, etc.)

Able to lift 10 to 20 pounds

Able to work overtime and regular and/or extended (evenings, nights, and weekends) office hours to meet established deadlines

Able to travel independently to support Company objectives and personal development