AI Data Engineer
$113K - $136K/yr
Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently ... Programming: Fluency in programming languages such as Python and SQL, and familiarity with others ...
AI Data Engineer
$113K - $136K/yr
Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently ... Programming: Fluency in programming languages such as Python and SQL, and familiarity with others ...
Data Engineer
Lansing, MI · On-site
$116K - $139K/yr
Lead the design and development of scalable, high-performance solutions using AWS services ... Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering ...
Data Engineer
Lansing, MI · On-site
$116K - $139K/yr
Lead the design and development of scalable, high-performance solutions using AWS services ... Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering ...
Cloud certifications (Azure Data Engineer, AWS Data Analytics, or equivalent). The wage range for ... This role requires US-based proximity to support client contract and compliance decisions. Work You ...
Cloud certifications (Azure Data Engineer, AWS Data Analytics, or equivalent). The wage range for ... This role requires US-based proximity to support client contract and compliance decisions. Work You ...
Project - Data Engineer II
Grand Rapids, MI · On-site
$110K - $132K/yr
Implement orchestration and workflow automation on AWS with retries, backfills, and idempotency ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.
Project - Data Engineer II
Grand Rapids, MI · On-site
$110K - $132K/yr
Implement orchestration and workflow automation on AWS with retries, backfills, and idempotency ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.
Project - Data Engineer II
Lansing, MI · On-site
$116K - $139K/yr
Implement orchestration and workflow automation on AWS with retries, backfills, and idempotency ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.
Project - Data Engineer II
Lansing, MI · On-site
$116K - $139K/yr
Implement orchestration and workflow automation on AWS with retries, backfills, and idempotency ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.
Project - Data Engineer II
Midland, MI · On-site
$98K - $118K/yr
Implement orchestration and workflow automation on AWS with retries, backfills, and idempotency ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.
Project - Data Engineer II
Midland, MI · On-site
$98K - $118K/yr
Implement orchestration and workflow automation on AWS with retries, backfills, and idempotency ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.
ICT Data Engineer
Auburn Hills, MI · On-site
$108K - $130K/yr
Data engineering is the practice of making the appropriate data available to various data consumers ... Snowflake, Databricks AWS, Azure, GCP). * Strong communication and stakeholder engagement skills.
ICT Data Engineer
Auburn Hills, MI · On-site
$108K - $130K/yr
Data engineering is the practice of making the appropriate data available to various data consumers ... Snowflake, Databricks AWS, Azure, GCP). * Strong communication and stakeholder engagement skills.
Novi, MI (onsite ) Contract: 6-12+ Months Role Summary We are seeking a highly skilled Snowflake ... AWS/Azure/GCP Cloud Certification * Terraform Associate
Novi, MI (onsite ) Contract: 6-12+ Months Role Summary We are seeking a highly skilled Snowflake ... AWS/Azure/GCP Cloud Certification * Terraform Associate
Sr. Data Engineer - Lansing, MI
Lansing, MI · On-site
$116K - $139K/yr
The ideal candidate will have strong experience in Databricks, AWS, Python/Scala, Oracle, and ... Lansing, MI (Hybrid - Onsite 2 days/week, REQUIRED) Duration: 1 year contract with possible ...
Quick apply
Sr. Data Engineer - Lansing, MI
Lansing, MI · On-site
$116K - $139K/yr
The ideal candidate will have strong experience in Databricks, AWS, Python/Scala, Oracle, and ... Lansing, MI (Hybrid - Onsite 2 days/week, REQUIRED) Duration: 1 year contract with possible ...
GCP Data Engineer
Dearborn, MI · On-site
$105K - $126K/yr
Stefanini is looking for a GCP Data Engineer, Dearborn, MI For quick apply, please reach out to ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow
GCP Data Engineer
Dearborn, MI · On-site
$105K - $126K/yr
Stefanini is looking for a GCP Data Engineer, Dearborn, MI For quick apply, please reach out to ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow
GCP Data Engineer
Dearborn, MI · On-site
$105K - $126K/yr
Stefanini is looking for a GCP Data Engineer, Dearborn, MI For quick apply, please reach out to ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow
GCP Data Engineer
Dearborn, MI · On-site
$105K - $126K/yr
Stefanini is looking for a GCP Data Engineer, Dearborn, MI For quick apply, please reach out to ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow
GCP Data Engineer
Dearborn, MI · On-site
$105K - $126K/yr
Stefanini is looking for a GCP Data Engineer, Dearborn, MI For quick apply, please reach out to ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow
GCP Data Engineer
Dearborn, MI · On-site
$105K - $126K/yr
Stefanini is looking for a GCP Data Engineer, Dearborn, MI For quick apply, please reach out to ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow
GCP Data Engineer
Dearborn, MI · On-site
$105K - $126K/yr
Stefanini is looking for a GCP Data Engineer, Dearborn, MI For quick apply, please reach out to ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow ...
GCP Data Engineer
Dearborn, MI · On-site
$105K - $126K/yr
Stefanini is looking for a GCP Data Engineer, Dearborn, MI For quick apply, please reach out to ... AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and Dataflow ...
ICT Data Engineer
Auburn Hills, MI · On-site
$108K - $130K/yr
Data engineering is the practice of making the appropriate data available to various data consumers ... Snowflake, Databricks AWS, Azure, GCP). * Strong communication and stakeholder engagement skills.
ICT Data Engineer
Auburn Hills, MI · On-site
$108K - $130K/yr
Data engineering is the practice of making the appropriate data available to various data consumers ... Snowflake, Databricks AWS, Azure, GCP). * Strong communication and stakeholder engagement skills.
Data Engineer
Mount Pleasant, MI · On-site
$105K - $126K/yr
Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines
Data Engineer
Mount Pleasant, MI · On-site
$105K - $126K/yr
Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines
Data Engineer
Lansing, MI · On-site
$116K - $139K/yr
Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines
Data Engineer
Lansing, MI · On-site
$116K - $139K/yr
Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines
Data Engineer
Warren, MI · On-site
$107K - $129K/yr
Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines
Data Engineer
Warren, MI · On-site
$107K - $129K/yr
Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines
Data Engineer
Allendale, MI · On-site
$99K - $119K/yr
Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines
Data Engineer
Allendale, MI · On-site
$99K - $119K/yr
Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines
Data Engineer
Berrien Springs, MI · On-site
$105K - $127K/yr
Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines
Data Engineer
Berrien Springs, MI · On-site
$105K - $127K/yr
Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines
Data Engineer
Flint, MI · On-site
$111K - $133K/yr
Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines
Data Engineer
Flint, MI · On-site
$111K - $133K/yr
Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines
Contract Aws Data Engineer information
What skills and qualifications are needed to thrive as a contract AWS data engineer?
To thrive as a Contract AWS Data Engineer, you need strong expertise in data engineering concepts, proficiency in SQL and Python, and a solid understanding of AWS cloud services like Redshift, S3, and Glue, often supported by a degree in computer science or a related field. Familiarity with data pipeline tools (e.g., Apache Airflow), ETL frameworks, and certifications such as AWS Certified Data Analytics are highly valued. Excellent problem-solving, communication, and adaptability help you collaborate effectively with teams and respond to changing project requirements. These skills and qualities ensure efficient data solutions, robust cloud infrastructure, and successful project delivery in dynamic environments.
What is a contract AWS data engineer?
Contract AWS Data Engineers are professionals hired on a temporary basis to design, develop, and manage data solutions using Amazon Web Services (AWS) technologies. They are responsible for building and maintaining data pipelines, processing large datasets, and ensuring data is secure and accessible. These engineers typically work with services like AWS Glue, Redshift, S3, and Lambda to enable efficient data workflows and analytics. Their contract roles allow organizations to scale their data engineering capabilities for specific projects or periods without long-term commitments.
What are common challenges faced by contract AWS data engineers, and how can they be addressed?
Contract AWS Data Engineers often encounter challenges such as quickly onboarding to new environments, understanding existing data architectures, and ensuring secure data handling within AWS services. Since contract roles require rapid integration, it's important to proactively communicate with team members and utilize available documentation to get up to speed. Additionally, keeping up-to-date with AWS best practices and automation tools can help streamline tasks and ensure compliance with security standards.
What are popular job titles related to Contract Aws Data Engineer jobs in Michigan? For Contract Aws Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Contract Aws Data Engineer jobs in Michigan look for? The top searched job categories for Contract Aws Data Engineer jobs in Michigan are:
What cities in Michigan are hiring for Contract Aws Data Engineer jobs? Cities in Michigan with the most Contract Aws Data Engineer job openings:
Job description
Job Description:
We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and pipelines that power our AI, machine learning (ML), agentic AI, and generative AI (GenAI) initiatives. This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models.
Key responsibilities
- Build AI-ready data pipelines: Design, construct, and optimize scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines specifically for AI and ML models.
- Architect data solutions: Develop and manage data architectures, including data lakes, data warehouses, and vector databases, to support various AI workloads.
- Ensure data quality and governance: Implement data validation, security, and governance policies to ensure the integrity, accessibility, and compliance of data used in AI models.
- Support AI model lifecycle: Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment.
- Manage real-time data: Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics.
- Optimize cloud infrastructure: Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently.
- Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and microservices.
- Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify data drift, and quickly resolve any data quality issues that may impact model performance.
- AI-assisted development: Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline data transformation tasks.
Required qualifications
- Education: A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field is typically required.
- Experience: Proven experience in a data engineering or similar role, with specific experience supporting AI and ML projects.
- Programming: Fluency in programming languages such as Python and SQL, and familiarity with others like Java or Scala.
- Frameworks: Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as LLM-specific tools like LangChain or LlamaIndex.
- Big data: Experience with distributed data processing frameworks such as Apache Spark and Hadoop.
- Cloud platforms: Proficiency with at least one major cloud provider (AWS, Azure, or GCP) and its AI data-related services.
- Databases: Expertise in both relational (SQL) and NoSQL databases, including vector databases for GenAI applications.
- DevOps and MLOps: Experience with CI/CD, Docker, and ML lifecycle management tools like MLflow is highly valued.
Job Description:
We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and pipelines that power our AI, machine learning (ML), agentic AI, and generative AI (GenAI) initiatives. This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models.
Key responsibilities
- Build AI-ready data pipelines: Design, construct, and optimize scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines specifically for AI and ML models.
- Architect data solutions: Develop and manage data architectures, including data lakes, data warehouses, and vector databases, to support various AI workloads.
- Ensure data quality and governance: Implement data validation, security, and governance policies to ensure the integrity, accessibility, and compliance of data used in AI models.
- Support AI model lifecycle: Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment.
- Manage real-time data: Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics.
- Optimize cloud infrastructure: Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently.
- Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and microservices.
- Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify data drift, and quickly resolve any data quality issues that may impact model performance.
- AI-assisted development: Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline data transformation tasks.
Required qualifications
- Education: A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field is typically required.
- Experience: Proven experience in a data engineering or similar role, with specific experience supporting AI and ML projects.
- Programming: Fluency in programming languages such as Python and SQL, and familiarity with others like Java or Scala.
- Frameworks: Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as LLM-specific tools like LangChain or LlamaIndex.
- Big data: Experience with distributed data processing frameworks such as Apache Spark and Hadoop.
- Cloud platforms: Proficiency with at least one major cloud provider (AWS, Azure, or GCP) and its AI data-related services.
- Databases: Expertise in both relational (SQL) and NoSQL databases, including vector databases for GenAI applications.
- DevOps and MLOps: Experience with CI/CD, Docker, and ML lifecycle management tools like MLflow is highly valued.
About IntraEdge
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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