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Internship Ibm Data Engineer Jobs in Michigan (NOW HIRING)

Nastech Global

Developer

Detroit, MI · On-site

... Engineer Must Have Technical/Functional Skills - 3-5 years of experience in DataStage, including designing, developing, and optimizing ETL workflows. - Strong experience with Cloud Pak for Data (IBM ...

HireITPeople

Data Warehouse Architect 3

Lansing, MI · On-site

The ETL Developer is responsible for designing, developing, and maintaining high-quality data integration solutions using IBM DataStage and related technologies. This role supports both on-premises ...

Zenfreed LLC

Data Warehouse Architect

Lansing, MI · On-site

The ETL Developer is responsible for designing, developing, and maintaining high-quality data integration solutions using IBM DataStage and related technologies. This role supports both on-premise ...

Zenfreed, LLC

Data Warehouse Architect

Lansing, MI · On-site

$66 - $82/hr

The ETL Developer is responsible for designing, developing, and maintaining high-quality data integration solutions using IBM DataStage and related technologies. This role supports both on-premise ...

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Internship Ibm Data Engineer information

What is the difference between Internship Ibm Data Engineer vs Data Analyst Intern?

AspectInternship Ibm Data EngineerData Analyst Intern
Required CredentialsBasic programming, SQL, data managementStatistical knowledge, Excel, SQL
Work EnvironmentTechnical teams, data infrastructure projectsBusiness units, reporting and visualization tasks
Employer & Industry UsageTech companies, data-driven rolesVarious industries, business analysis

Internship Ibm Data Engineer roles focus on building and maintaining data pipelines, requiring technical skills like programming and data management. Data Analyst Internships emphasize analyzing data to generate insights, often involving statistical tools and reporting. Both internships provide valuable industry experience but differ in technical depth and focus areas.

What are the most commonly searched types of Ibm Data Engineer jobs in Michigan? The most popular types of Ibm Data Engineer jobs in Michigan are:
What are popular job titles related to Internship Ibm Data Engineer jobs in Michigan? For Internship Ibm Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Internship Ibm Data Engineer jobs in Michigan look for? The top searched job categories for Internship Ibm Data Engineer jobs in Michigan are:
Internship Ibm Data Engineer jobs near you
Infographic showing various Internship Ibm Data Engineer job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Sr. Data Engineer - AWS, Snowflake, Python

IntraEdge

Detroit, MI

$113K - $136K/yr

Full-time

Re-posted 20 days ago

Job description

The Data Engineer will be responsible for designing, developing, and maintaining robust and scalable data pipelines and data solutions. This role requires strong expertise in cloud-based data platforms, particularly AWS services like Glue and Lambda, combined with proficiency in Python, PySpark, and Snowflake for data warehousing. The ideal candidate will ensure efficient data ingestion, transformation, and availability for analytics and reporting, contributing to data-driven decision-making.
Key Responsibilities:
  • Design, build, and maintain scalable and efficient ETL/ELT pipelines using AWS Glue, AWS Lambda, and PySpark for data ingestion, transformation, and loading into Snowflake.
  • Develop and optimize data models within Snowflake, ensuring high performance and adherence to best practices for data warehousing.
  • Write, test, and deploy production-grade Python and PySpark code for data processing and manipulation.
  • Implement and manage data orchestration and scheduling using AWS services or other relevant tools.
  • Monitor data pipeline performance, troubleshoot issues, and implement optimizations for improved efficiency and reliability.
  • Ensure data quality, integrity, and security across all data solutions, adhering to compliance standards.
Required Skills & Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 5+ years of hands-on experience in data engineering or a similar role. 
  • Strong proficiency in Python and PySpark for data manipulation and processing.
  • Extensive experience with AWS services, specifically AWS Glue and AWS Lambda, for building and managing data pipelines.
  • Solid understanding of SQL and experience with relational and NoSQL databases.
  • Familiarity with version control systems (e.g., Git).
Good to Have:
  • Experience with other AWS services such as S3, Redshift, Athena, Step Functions, Kinesis, CloudWatch.
  • Experience with IBM Datastage or CP4D
  • Knowledge of CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
  • Experience with data governance and security best practices.
  • Familiarity with real-time data processing concepts.

The Data Engineer will be responsible for designing, developing, and maintaining robust and scalable data pipelines and data solutions. This role requires strong expertise in cloud-based data platforms, particularly AWS services like Glue and Lambda, combined with proficiency in Python, PySpark, and Snowflake for data warehousing. The ideal candidate will ensure efficient data ingestion, transformation, and availability for analytics and reporting, contributing to data-driven decision-making.
Key Responsibilities:
  • Design, build, and maintain scalable and efficient ETL/ELT pipelines using AWS Glue, AWS Lambda, and PySpark for data ingestion, transformation, and loading into Snowflake.
  • Develop and optimize data models within Snowflake, ensuring high performance and adherence to best practices for data warehousing.
  • Write, test, and deploy production-grade Python and PySpark code for data processing and manipulation.
  • Implement and manage data orchestration and scheduling using AWS services or other relevant tools.
  • Monitor data pipeline performance, troubleshoot issues, and implement optimizations for improved efficiency and reliability.
  • Ensure data quality, integrity, and security across all data solutions, adhering to compliance standards.
Required Skills & Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 5+ years of hands-on experience in data engineering or a similar role. 
  • Strong proficiency in Python and PySpark for data manipulation and processing.
  • Extensive experience with AWS services, specifically AWS Glue and AWS Lambda, for building and managing data pipelines.
  • Solid understanding of SQL and experience with relational and NoSQL databases.
  • Familiarity with version control systems (e.g., Git).
Good to Have:
  • Experience with other AWS services such as S3, Redshift, Athena, Step Functions, Kinesis, CloudWatch.
  • Experience with IBM Datastage or CP4D
  • Knowledge of CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
  • Experience with data governance and security best practices.
  • Familiarity with real-time data processing concepts. 
Education:Employment Type: FULL_TIME
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About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

Social media

Instagram

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