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Senior Amazon Data Engineer Jobs in Michigan (NOW HIRING)

HTC Global Services

Senior Data Engineer

Dearborn, MI · On-site

$97K - $132K/yr

Senior Data Engineer Overview We are seeking an experienced Senior Data Engineer to design, develop, test, and maintain scalable data solutions that support business and customer needs. This role is ...

Corning

$104K - $125K/yr

As a Lead Data Engineer, you will serve as a senior individual contributor responsible for defining technical direction, leading complex Data Engineering initiatives, and building scalable, reliable ...

Rocket

Senior Data Engineer

Detroit, MI · On-site

$104K - $142K/yr

As a Senior Data Engineer, you'll design, develop, and maintain data platforms, mentor team members, and ensure data quality while driving best practices across the data engineering lifecycle.

Protera Health

Senior Data Engineer

Troy, MI · On-site +1

$100K - $136K/yr

About the Role As a hands-on Senior Data Engineer on a small team, you will build and scale the data platform driving Protera's clinical operations, payer reporting, and analytics. This is a senior ...

Pwc

Data Engineer - Senior Manager

Detroit, MI

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Senior Manager

Grand Rapids, MI

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Mariana Minerals

Sr. Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

They are seeking a Senior Data Engineer to design and build data pipelines that ensure the reliability and queryability of plant data, supporting autonomous mineral refining operations. The role ...

Pwc

Data Engineer - Senior Associate

Grand Rapids, MI · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Associate

Detroit, MI · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Mariana Minerals

Sr. Data Engineer

Ann Arbor, MI · On-site

$140K - $200K/yr

As a Senior Data Engineer at Mariana, you'll own a data domain end-to-end-designing the pipelines, schemas, and contracts that make a whole class of plant data trustworthy and queryable. The systems ...

Kiongroup

Senior AI Data Engineer

Grand Rapids, MI · On-site

$121K - $151K/yr

We are seeking a highly experienced Senior AI Data Engineer to help transform our Enterprise Data Platform into an AI-native, intelligent platform where AI agents can discover, understand, and ...

Kiongroup

Senior AI Data Engineer

Grand Rapids, MI

$121K - $151K/yr

We are seeking a highly experienced Senior AI Data Engineer to help transform our Enterprise Data Platform into an AI-native, intelligent platform where AI agents can discover, understand, and ...

Cognizant Technologies

MI

$102K - $139K/yr

Duration : 1 year Qualifications The Senior Data Engineer will implement data-oriented solutions to support cloud-based software development. You will own the technical solutions needed for data ...

Rocket Limited Partnership

Senior Data Engineer

Detroit, MI · On-site

$104K - $142K/yr

As a Senior Data Engineer, you'll engage in the design, development, and maintenance of data platforms and solutions. This includes applying data management principles to pipelines and delivering ...

Rock Connections

Senior Data Engineer

Detroit, MI · On-site

$104K - $142K/yr

As a Senior Data Engineer, you'll engage in the design, development, and maintenance of data platforms and solutions. This includes applying data management principles to pipelines and delivering ...

Gordon Food Service

Senior Data Engineer

Wyoming, MI · Hybrid

$96K - $130K/yr

The Senior Data Engineer guides the development of GFS' Data Platform consisting of the data lake, analytics, enterprise data sandboxes, and certified internal data products. Identifies and ...

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process ...

Domino's Corporate

Senior Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

As a Senior Data Engineer, you will operate as a technical expert responsible for designing, building, and scaling enterprise-grade data engineering solutions across our cloud-native data platform on ...

Domino's

Senior Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

As a Senior Data Engineer, you will operate as a technical expert responsible for designing, building, and scaling enterprise-grade data engineering solutions across our cloud-native data platform on ...

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Senior Amazon Data Engineer information

What does a senior Amazon data engineer do?

A Senior Amazon Data Engineer is responsible for designing, building, and maintaining large-scale data processing systems on Amazon Web Services (AWS) infrastructure. They work with big data technologies, such as Amazon Redshift, AWS Glue, and Amazon S3, to ensure data is efficiently collected, stored, and made accessible for analytics and business intelligence. Additionally, they often lead data engineering teams, optimize data pipelines for performance, and ensure data quality and security standards are met.

What are some common challenges faced by senior Amazon data engineers when working with large-scale datasets?

Senior Amazon Data Engineers often encounter challenges related to optimizing the performance of data pipelines and ensuring data quality at scale. Managing and transforming massive volumes of data requires expertise in distributed systems, efficient data modeling, and automating data validation processes. Additionally, collaborating with cross-functional teams—such as data scientists, analysts, and software engineers—means balancing differing requirements and priorities while maintaining robust, scalable solutions. Staying current with evolving AWS services and best practices is also essential to address these challenges effectively.

What are the key skills and qualifications needed to thrive as a senior Amazon data engineer, and why are they important?

To thrive as a Senior Amazon Data Engineer, you need advanced proficiency in data modeling, ETL development, SQL, and experience with large-scale data architectures, typically supported by a computer science degree or equivalent. Expertise in AWS services (such as Redshift, S3, Glue), programming languages like Python or Java, and relevant certifications (e.g., AWS Certified Data Analytics) are commonly required. Strong problem-solving abilities, effective communication, and leadership skills distinguish top performers in this role. These skills ensure the efficient design, implementation, and optimization of complex data solutions that drive business insights and support organizational goals.

What is the difference between Senior Amazon Data Engineer vs Amazon Data Engineer?

AspectSenior Amazon Data EngineerAmazon Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced SQL, AWS certificationsEntry to mid-level, foundational SQL, AWS certifications beneficial
Work EnvironmentDesigning complex data pipelines, mentoring, strategic projectsBuilding and maintaining data pipelines, data analysis
Employer & Industry UsageUsed in large-scale data teams within Amazon and similar tech companiesCommon in tech companies, e-commerce, and cloud service providers

The main difference between a Senior Amazon Data Engineer and an Amazon Data Engineer lies in experience, responsibilities, and project complexity. Senior roles involve strategic planning, mentoring, and handling complex data systems, while entry-level roles focus on building and maintaining data pipelines. Both roles require AWS knowledge and data engineering skills, but senior positions demand more experience and leadership capabilities.

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 are popular job titles related to Senior Amazon Data Engineer jobs in Michigan?

For Senior Amazon Data Engineer jobs in Michigan, the most frequently searched job titles are:

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

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

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

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

Senior Amazon Data Engineer jobs near you

Senior Data Engineer

HTC Global Services

Dearborn, MI • On-site

$97K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

Job Title: Senior Data Engineer
Overview
We are seeking an experienced Senior Data Engineer to design, develop, test, and maintain scalable data solutions that support business and customer needs. This role is responsible for designing data architectures, building robust data pipelines, optimizing large-scale data systems, and collaborating with cross-functional teams throughout the software development lifecycle.
Key Responsibilities
  • Design, develop, test, and maintain scalable software applications and data solutions.
  • Engage with stakeholders to understand business requirements and translate them into effective technical solutions.
  • Design and implement scalable data architectures, including data warehouses, data lakes, and streaming platforms.
  • Develop, maintain, and optimize ETL/ELT pipelines for processing large volumes of data from multiple sources.
  • Assess application requirements and determine appropriate technology stacks, deployment strategies, and integration methods.
  • Create high-level software architecture designs, including system components and interfaces.
  • Collaborate with product owners, architects, designers, and cross-functional teams.
  • Define and implement software testing strategies, policies, and processes.
  • Improve application performance and development efficiency by adopting new technologies and best practices.
  • Apply modern software engineering practices, including test-driven development, continuous integration, and continuous delivery.
  • Support security practices to protect data through encryption and anonymization.
  • Develop user-friendly interfaces where applicable.
  • Develop and maintain backend services, APIs, and microservices.
  • Evaluate emerging technologies and contribute to continuous improvement initiatives.
  • Ensure data integrity, quality, scalability, and performance across all data pipelines.

Required Qualifications
  • Bachelor's degree.
  • 5+ years of progressive experience in Data Engineering or a related field with a strong focus on large-scale data systems.
  • Expert proficiency in Python or Scala.
  • Advanced SQL skills, including complex querying, data manipulation, and database design.
  • Experience with big data technologies such as Apache Spark, Hadoop, Kafka, and Flink.
  • Experience with cloud platforms including AWS, Azure, or Google Cloud Platform (GCP) and their associated data services.
  • Strong understanding of data warehousing concepts, data modeling (dimensional and relational), and ETL/ELT processes.
  • Experience with NoSQL databases.
  • Experience with Kubernetes, Docker, and cloud infrastructure technologies.
  • Experience with version control systems such as Git.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent communication and interpersonal skills with the ability to present technical information clearly.

Preferred Skills
  • GitHub
  • Machine Learning

Technical Skills
  • Python
  • Java
  • SQL
  • Apache Spark
  • Apache Hadoop
  • Kafka
  • BigQuery
  • Google Cloud Platform (GCP)
  • Kubernetes
  • Docker
  • NoSQL
  • Cloud Architecture
  • Data Architecture
  • Cloud Infrastructure
  • Big Data
  • Data Management

What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
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