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Amazon Data Engineer Jobs in Michigan (NOW HIRING)

... Microsoft, Amazon, or comparable environments * Demonstrated experience applying data ... The Data and AI Platform Developer demonstrates and promotes: * Honesty - Lead with integrity and ...

... and operations objectives for an Amazon Logistics Delivery Station (DS). Additional ... IT, HR, ACES and Engineering to build and secure support and resources for projects and ...

Our WW Operations network delivers millions of packages and smiles to Amazon customers every day ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

Data Scientist

Grand Rapids, MI · On-site

$100 - $125/hr

Cross-Functional Collaboration Partner with product, production, services, engineering, and other ... Our environment includes technologies such as Python, Databricks, Delta Lake, AWS (Amazon Web ...

Data Scientist

Sterling Heights, MI · On-site

$100 - $125/hr

Cross-Functional Collaboration Partner with product, production, services, engineering, and other ... Our environment includes technologies such as Python, Databricks, Delta Lake, AWS (Amazon Web ...

Partner with product, production, services, engineering, and other business teams to understand ... Amazon Web Services), Microsoft Azure, Azure ML/AI, Azure Cognitive Services, SAS, R, SQL, DB2 ...

Manufacturing Engineer

Frankfort, MI · On-site

$74K - $96K/yr

Engineering / R amp;D Manager Job Summary: This position is responsible for the design, operation ... Strong data analysis capabilities and skills (Excel required, experience with Power BI, Amazon ...

Manufacturing Engineer

Frankfort, MI · On-site

$74K - $96K/yr

Engineering / R&D Manager Job Summary: This position is responsible for the design, operation ... Strong data analysis capabilities and skills (Excel required, experience with Power BI, Amazon ...

Monitor and report on existing data restore and disaster recovery capabilities for both on-premise ... Azure cloud and/or Amazon Web Services). * Two (2) years hands-on experience working with ...

Showing results 41-60

Amazon Data Engineer information

See Michigan salary details

$38.8K

$113.1K

$154.7K

How much do amazon data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for amazon data engineer in Michigan is $113,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $119,800.00 per year, depending on experience, location, and employer.

What is an Amazon data engineer?

An Amazon Data Engineer is responsible for designing, building, and maintaining data infrastructure to support business intelligence and analytics. They work with large-scale datasets, optimize data pipelines, and ensure efficient data processing. Engineers collaborate with data scientists, analysts, and software teams to enable data-driven decision-making. Key skills include SQL, Python, ETL development, and experience with AWS services like Redshift, S3, and Glue.

What do Amazon data engineers do?

As an Amazon Data Engineer, you can expect to work on projects involving the design, development, and maintenance of large-scale data pipelines and data warehouses. Common challenges include optimizing data flows for efficiency, handling massive and complex datasets, and ensuring data quality and integrity across various sources. You'll frequently collaborate with data scientists, analysts, and other engineering teams to create scalable solutions that support business intelligence and machine learning initiatives. The fast-paced environment provides opportunities to solve unique technical problems and drive data-driven decision-making across Amazon’s diverse businesses.

What are the key skills and qualifications needed to thrive as an Amazon data engineer?

To thrive as an Amazon Data Engineer, you need strong proficiency in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically accompanied by a degree in computer science or a related field. Familiarity with AWS cloud services (like Redshift, S3, and Glue), big data tools, and relevant certifications such as AWS Certified Data Analytics are highly valued. Strong problem-solving skills, effective communication, and the ability to work collaboratively in cross-functional teams set standout candidates apart. These skills and qualities ensure data is accurately managed, integrated, and made accessible for analytics and business decisions in Amazon's complex environment.

Is an Amazon Data Engineer in demand?

Amazon Data Engineers are in high demand due to the company's extensive data infrastructure needs, with skills in cloud platforms like AWS, data pipelines, and SQL being highly sought after. The role offers strong job growth prospects as organizations increasingly rely on data-driven decision making.

What are the most commonly searched types of Amazon Data Engineer jobs in Michigan?

The most popular types of Amazon Data Engineer jobs in Michigan are:

What job categories do people searching Amazon Data Engineer jobs in Michigan look for?

The top searched job categories for Amazon Data Engineer jobs in Michigan are:

What cities in Michigan are hiring for Amazon Data Engineer jobs?

Cities in Michigan with the most Amazon Data Engineer job openings:

Infographic showing various Amazon Data Engineer job openings in Michigan as of September 2026, with employment types broken down into 61% Full Time, and 39% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $113,060 per year, or $54.4 per hour.

Programmer Analyst 6 #155665 Lansing, MI

Lansing, MI • On-site

SmartIPlace
IT Services • 51 - 200 employees

$55 - $60/hr

Contractor

Re-posted 14 days ago


Job description

Job Summary

We are seeking an experienced Senior Report Developer to serve as a Data Analyst and Dashboard Developer within the MDHHS Analytics and Visualization Division.

This role focuses on analyzing complex datasets, generating actionable insights, and developing interactive dashboards using Power BI, SAP BusinessObjects, Crystal

Reports, and BI Query. In addition, the position will involve designing and optimizing cloud-native data and AI platforms leveraging Amazon Web Services (AWS) to

support advanced analytics, machine learning, and real-time data processing initiatives.

The ideal candidate will have strong analytical skills, proficiency in reporting tools, and the ability to translate business requirements into effective data visualizations and scalable data solutions.

 

Key Responsibilities

• Analyze large and complex datasets to identify trends, patterns, and actionable insights for business stakeholders.

• Design, develop, and maintain interactive dashboards and reports using Power BI, SAP BusinessObjects, and Crystal Reports.

• Develop and optimize SQL queries and scripts for data extraction and transformation.

• Create and optimize queries in Hummingbird BI Query to support business intelligence and data analysis requirements.

• Architect and implement end-to-end data pipelines using AWS services such

as Amazon S3, Glue, Lambda, EMR, Redshift, Kinesis, and SageMaker.

• Design, build, and optimize scalable cloud-native data and AI

platforms leveraging AWS to support advanced analytics and machine learning initiatives.

• Develop robust ETL/ELT workflows, ensuring data quality, governance, security, and compliance across distributed systems.

• Collaborate with business units to gather requirements and translate them into technical specifications for reporting and data solutions.

• Partner with cross-functional teams, including data architects, business analysts, and application developers, to ensure alignment of reporting and data solutions with organizational goals.

• Ensure data accuracy, integrity, and compliance with MDHHS standards and policies.

• Provide technical expertise in reporting tools and assist in troubleshooting and performance tuning of dashboards and reports.

• Document processes, data flows, and reporting standards for ongoing maintenance and knowledge sharing.

 

Required Qualifications

? Bachelor’s degree in computer science, Information Systems or related field.

? 3+ years of experience in report development and data analysis within large-scale environments.

? 3+ years of experience in AI Data engineering with AWS platforms.

? 3+ years of experience in python, PySpark and Advanced Data Structures.

? 3+ years of experience in Teradata Data Warehouse and ETL utilities.

? Experience in AWS cloud and AI platform.

? Proficiency in SQL, Hummingbird BI/Query, Business Objects, and Power BI.

? Strong experience with dashboard development and data visualization best practices.

? Solid understanding of relational databases and data warehouse concepts, preferably Teradata.

? Excellent analytical, problem-solving, and communication skills.

 

Preferred Qualifications

• Experience with Medicaid or healthcare-related reporting.

• Familiarity with performance optimization techniques for BI tools.

• Experience in cloud data platforms (AWS, Azure, GCP) and integration with Teradata.

• Ability to design and implement modern data architectures supporting advanced analytics and machine learning.

• Familiarity with BI/reporting tools.

• Exposure to Agile / DevOps methodologies.

• Knowledge of data governance and compliance standards.

 

Soft Skills

• Strong interpersonal skills with the ability to collaborate effectively across teams

and communicate technical concepts to non-technical stakeholders.

• Excellent time management and organizational skills to handle multiple priorities and meet deadlines.

• Adaptability and flexibility to work in a dynamic environment with evolving business needs.

• Critical thinking and attention to detail to ensure accuracy and quality in reporting and analysis.

• Proactive problem-solving approach and willingness to take initiative in improving processes and solutions.

• Ability to foster a positive team environment and contribute to shared goals.


Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

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