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Forward Deployed Engineer Aws Jobs in Michigan (NOW HIRING)

Clutch Canada

Go-to-Market - Detroit, MI, USA

Detroit, MI · On-site

$105 - $140/hr

We don't just hand customers a product and wish them luck -- every customer gets a Forward Deployed Engineer who builds their agents, joins their Slack, and iterates with them weekly. We're building ...

New

Speechify

Go-to-Market - Ann Arbor, MI, USA

Ann Arbor, MI · On-site

$150K - $200K/yr

We don't just hand customers a product and wish them luck - every customer gets a Forward Deployed Engineer who builds their agents, joins their Slack, and iterates with them weekly. We're building ...

Speechify

Go-to-Market - Ann Arbor, MI, USA

Ann Arbor, MI · On-site

$150K - $200K/yr

We don't just hand customers a product and wish them luck - every customer gets a Forward Deployed Engineer who builds their agents, joins their Slack, and iterates with them weekly. We're building ...

Lineage Logistics

Senior Business Analyst (AI COE)

Novi, MI · Remote

$86K - $112K/yr

The AI Senior Business Analyst is the domain partner who pairs directly with a Forward Deployed Engineer to automate the work of the business. You will embed in one or two functional areas at a time ...

Crowe LLP

AI Solutions Consulting Lead

Grand Rapids, MI · On-site +1

About Forward Deployed Engineering The Forward Deployed Engineering (FDE) Practice partners with organizations to accelerate AI-driven transformation through embedded consulting, hands-on solution ...

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Infographic showing various Forward Deployed Engineer Aws job openings in Michigan as of July 2026, with employment types broken down into 87% Full Time, 7% Part Time, 1% Temporary, and 5% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Sr. Data Engineer - AWS, Snowflake, Python

IntraEdge

Detroit, MI

$113K - $136K/yr

Full-time

Re-posted 12 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
IntraEdge logo

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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