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Amazon Data Engineer Jobs in Detroit, MI (NOW HIRING)

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Acquire a deep understanding of vehicle engineering problems, translating them into appropriate ... Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery.

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data engineering, data product development and software product launches * At least three of the ... Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery.

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$105K - $127K/yr

The Data Engineer role resides within the Ford's Electric Vehicle organization. In this role, you ... Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery.

Pwc

Data Engineer - Manager

Detroit, MI · On-site

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Eccalon LLC

Database Engineer - onsite

Detroit, MI

We are seeking a highly skilled Database Engineer with deep expertise in Data Warehousing to design ... Cloud Data Warehouses: Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse * On-Prem / MPP ...

Deloitte

Senior Forward Deployed Engineer- AWS

Detroit, MI

$103K - $142K/yr

... AI&Data including hands on experience with one of the following key platforms/products: Amazon ... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ...

Deloitte

Lead Forward Deployed Engineer - AWS

Detroit, MI

$101K - $133K/yr

... AI&Data including hands on experience with one of the following key platforms/products: Amazon ... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ...

Deloitte

Forward Deployed Engineer- AWS

Detroit, MI

... AI&Data including hands on experience with one of the following key platforms/products: Amazon ... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ...

Medium

AI Engineer

Detroit, MI · On-site

$90 - $120/hr

... on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in ... Partner with data engineers on Snowflake‑backed retrieval patterns (Cortex Analyst and Cortex ...

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All JobsAmazon Data Engineer JobsAmazon Data Engineer Jobs in Detroit, MI

Amazon Data Engineer information

See Detroit, MI salary details

$44.1K

$128.4K

$175.7K

How much do amazon data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for amazon data engineer in Detroit, MI is $128,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $136,100.00 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 Detroit, MI?

The most popular types of Amazon Data Engineer jobs in Detroit, MI are:

What are popular job titles related to Amazon Data Engineer jobs in Detroit, MI?

For Amazon Data Engineer jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Amazon Data Engineer jobs in Detroit, MI look for?

The top searched job categories for Amazon Data Engineer jobs in Detroit, MI are:

Amazon Data Engineer jobs near you
Infographic showing various Amazon Data Engineer job openings in Detroit, MI as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 82% In-person, 6% Hybrid, and 12% Remote job distribution, with an average salary of $128,415 per year, or $61.7 per hour.

Data Engineer

Ford Motor Company

Dearborn, MI • On-site

$105K - $126K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 21 hours ago

Job description


At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have an exciting opportunity for you to join our expanding area of Telemetry and Observability.
Are you enthusiastic to mine raw data and realize its hidden value by architecting and building amazing, connected data solutions that benefit our customers? Would you love to accelerate our efforts in implementing advanced agentic solutions and ML model in production?
The Senior Data Scientist role resides within the Ford's Electric Vehicle organization. In this role, you will work on building scalable and robust data pipelines to process large volumes of manufacturing, repair, software update, call center case, and connected vehicle data to support the Ford telemetry and observability initiatives.
Responsibilities
  • Collaborate across teams and internal organizations to develop a wider data architecture plan for all of Connected Vehicle Software.
  • Work with data stewards and data owners to source and understand data to ensure the best data transformation practices and processes.
  • Collaborate with data analytics stakeholders to streamline the data acquisition, processing, and presentation process.
  • Provide analysis of connected vehicle data to support new product developments and production vehicle improvements.
  • Contribute to the design and building of a Semantic Data layer to serve AI agents.
  • Work with ML Ops to design and implement robust, scalable data science and Machine Learning Operations (MLOps) pipelines primarily within cloud environments like Google Cloud Platform (GCP) and Amazon Web Services (AWS), ensuring efficient deployment and maintenance of AI solutions.
  • Lead the integration of new cloud technologies and AI tools (e.g., Vertex AI) into our workflows, continuously evaluating their potential and articulating their business value to drive innovation and efficiency.
  • Acquire a deep understanding of vehicle engineering problems, translating them into appropriate mathematical representations and AI/ML solutions (classification, prediction, intelligent automation).
  • Develop and maintain a data quality system, ensuring the overall quality and integrity of data and solutions throughout the development lifecycle, from data collection and cleaning to model deployment.
  • Build data pipelines to monitoring quality of data and performance of analytical models and agentic solutions.
  • Stay current on the latest practices in AI Agentic Solutions.
  • Work cross-functionally and have excellent technical interpretation skills to translate technical work to a variety of stakeholders.
  • Mentor more junior members of a data engineering team.

Qualifications
You will have...
  • Master's degree or foreign equivalent degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field, and 4 years of experience OR equivalent combination of education and experience (6+ years with Bachelor's Degree).
  • 4 years of professional experience in:
    • Data engineering, data product development and software product launches
    • At least three of the following languages: Java, Python, Spark, Scala, SQL
    • 3 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines using:
    • Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery.
    • Workflow orchestration tools like Airflow.
    • Relational Database Management System like MySQL, PostgreSQL, and SQL Server.
    • Real-Time data streaming platform like Apache Kafka, GCP Pub/Sub
    • Microservices architecture to deliver large-scale real-time data processing application.
    • REST APIs for compute, storage, operations, and security.
    • DevOps tools such as Tekton, GitHub Actions, Git, GitHub, Terraform, Docker.
    • Project management tools like Atlassian JIRA.
    • Comfort working in ambiguous environments where problems are not always well-defined, and solutions require innovative thinking

Even better if you have...
  • Ph.D. or foreign equivalent degree in Computer Science, Software Engineering, Information System, Data Engineering, or a related field.
  • 2 years of experience with ML Model Development and/or MLOps.
  • Committed code to improve open-source data/software engineering projects
  • Experience architecting cloud infrastructure and handling application migrations/upgrades.
  • GCP Professional Certifications.
  • Demonstrated passion to mine raw data and realize its hidden value.
  • Passion to experiment/implement state of the art data engineering methods/techniques.
  • Experience working in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment.
  • Experience implementing methods for automation of all parts of the pipeline to minimize labor in development and production.
  • Analytics skills to profile data, troubleshoot data pipeline/product issues.
  • Ability to simplify, clearly communicate complex data/software ideas/problems and work with cross-functional teams and all levels of management independently.
  • Ability to mentor and advise junior team members
  • Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles.
  • Build data pipelines to monitoring quality of data and performance of analytical models and agentic solutions.
  • Maintain the infrastructure of the data platform using terraform and continuously develop, evaluate, and deliver code using CI/CD.
  • Collaborate with data analytics stakeholders to streamline the data acquisition, processing, and presentation process.
  • Implement an enterprise data governance model and actively promote the concept of data - protection, sharing, reuse, quality, and standards.
  • Enhance and maintain the DevOps capabilities of the data platform.
  • Continuously optimize and enhance existing data solutions (pipelines, products, infrastructure) for best performance, high security, low vulnerability, low costs, and high reliability.
  • Work in an agile product team to deliver code frequently using Test Driven Development (TDD), continuous integration and continuous deployment (CI/CD).
  • Promptly address code quality issues using SonarQube, Checkmarx, Fossa, and Cycode throughout the development lifecycle.
  • Perform any necessary data mapping, data lineage activities and document information flows.
  • Monitor the production pipelines and provide production support by addressing production issues as per SLAs.
  • Provide analysis of connected vehicle data to support new product developments and production vehicle improvements.
  • Provide visibility to data quality/vehicle/feature issues and work with the business owners to fix the issues.
  • Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solutions.
  • Continuously enhance your domain knowledge of connected vehicle data, connected services and algorithms/models/solutions developed by data scientists and AI engineers.
  • Stay current on the latest data engineering practices and contribute to the technical direction of the company while keeping a customer-centric approach.
  • Master's degree or foreign equivalent degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field, and 4 years of experience OR equivalent combination of education and experience (6+ years with Bachelor's Degree).
  • 4 years of professional experience in:
  • Data engineering, data product development and software product launches
  • At least three of the following languages: Java, Python, Spark, Scala, SQL
  • 3 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines using:
  • Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery.
  • Workflow orchestration tools like Airflow, Cloud Run.
  • Relational Database Management System like MySQL, PostgreSQL, and SQL Server.
  • Real-Time data streaming platform like Apache Kafka, GCP Pub/Sub
  • Microservices architecture to deliver large-scale real-time data processing application.
  • REST APIs for compute, storage, operations, and security.
  • DevOps tools such as Tekton, GitHub Actions, Git, GitHub, Terraform, Docker.
  • Project management tools like Atlassian JIRA.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
  • Immediate medical, dental, vision and prescription drug coverage
  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
  • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
  • Vehicle discount program for employees and family members and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year's Day
  • Paid time off and the option to purchase additional vacation time.

This position is a salary grade 7 and ranges from $99,600-$146,600., This position is a salary grade 8 and ranges from $115,000-$162,900.
For more information on salary and benefits, click here:
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
This position is hybrid with a requirement to be onsite four or more days per week. #LI-Hybrid
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About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

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