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Senior Amazon Data Engineer Jobs in Michigan (NOW HIRING)

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 ...

Qualifications * 10+ years of Data Engineering experience with Principal/Senior-level technical leadership. * Strong hands-on experience with AWS, Snowflake, Python, dbt, DataStage, and SQL. * Deep ...

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 ...

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 ...

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 ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

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

Senior Data Engineer

Grand Rapids, MI · On-site

$120K - $140K/yr

Information Technology Position Type: Full-Time/Regular Description We are hiring a Senior Data Engineer who will help transform enterprise data into reliable, scalable solutions by developing modern ...

Senior Data Engineer

Grand Rapids, MI · On-site

$120K - $140K/yr

Description We are hiring a Senior Data Engineer who will help transform enterprise data into reliable, scalable solutions by developing modern data pipelines and partnering closely with analytics ...

Senior Data Engineer

Warren, MI · On-site

$99K - $135K/yr

The Role We're looking for a hands-on Senior Data Engineer to build the next generation of telematics data products that power analytics, artificial intelligence, and decision-making across the ...

Snowflake Data Engineer

Detroit, MI · On-site

$104K - $125K/yr

Snowflake Data Engineer Location: Detroit Michigan, USA Work Arrangement: On-site No H1b/OPT ... Thanks & Regards Abhay Kumar Jain Senior Technical Recruiter INCEPTRA SOLUTIONS LLC 1520 Creekside ...

Data Engineer III/Senior (Analytics)

Romulus, MI · On-site

$102K - $138K/yr

A Successful Data Engineer III / Senior Data Engineer: * Building enterprise analytics solutions using Microsoft Fabric, Databricks, SQL, Python, and Power BI. * Design and develop semantic models ...

Data Engineer III/Senior (Analytics)

Romulus, MI · On-site

$102K - $138K/yr

A Successful Data Engineer III / Senior Data Engineer: * Building enterprise analytics solutions using Microsoft Fabric, Databricks, SQL, Python, and Power BI. * Design and develop semantic models ...

Azure Data Engineer

Ann Arbor, MI · On-site

$55 - $57/hr

Ann Arbor, MI 48105 Job Title: IT - Senior Consultant | Cloud Integration | Azure Data Factory (ADF) Job Title: Data Engineer Work Location : Ann ArborMI48105 Vendor Rate: $55 - $57/hr on W2 Contract ...

Data Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer Dearborn, MI Hybrid 4days onsite and 1 day remote W2 Position Description ... Ford Motor Company is seeking a Senior Technical Engineer to serve as a subject matter expert for ...

Showing results 41-60

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 Data Engineer

Detroit, MI • On-site

$104K - $142K/yr

Full-time

Re-posted 2 days ago


Job description

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 analytical and operational solutions to enable data-driven decision-making and data activation use cases.
You'll design and develop data ingestion and transformation solutions, working across a hybrid data environment to build scalable products and services that meet business needs. As a senior member of the team, you'll also mentor and support the growth of your teammates while helping drive best practices across the data engineering lifecycle.
About the role
  • Develop ETL and ELT processes to source and curate data from various enterprise systems, ensuring speed and quality of delivery
  • Develop tabular and dimensional data models to support analytical and operational use cases
  • Build and maintain data processing jobs to refresh data on a regular cadence
  • Guide the identification, investigation, and resolution of data quality issues, ensuring data is secure and reliable
  • Utilize advanced debugging techniques to troubleshoot complex data pipeline and processing issues
  • Lead code review sessions with a focus on performance, scalability, and maintainability
  • Work in a hybrid data environment spanning on-premises and cloud data platforms
  • Develop relational and non-relational data models to meet user and business needs
  • Proactively identify upstream and downstream dependencies that may impact pipeline performance or reliability
  • Monitor and address performance and scalability issues across large-scale data platforms
  • Participate in on-call rotations for incident management and production support
  • Mentor team members and contribute to their technical development
  • Partner with leadership to identify and address technical debt and improve team processes
  • Stay current on industry trends and promote adoption of best practices across the team
  • Contribute to engineering community initiatives to increase visibility into data engineering work

About you
Minimum Qualifications
  • 7 years of experience building data solutions, including relational and non-relational databases and batch/real-time data pipelines using cloud services
  • 5 years of experience with dimensional or tabular data modeling
  • Experience designing and developing complex data transformation pipelines
  • 5 years of experience with CI/CD and automated deployments
  • Expertise writing complex queries (SQL/NoSQL)
  • Expertise in performance tuning, debugging, and troubleshooting data processing jobs, including ETLs
  • 5 years of experience in Python development, including AWS Lambda functions
  • Proficiency in a functional or object-oriented programming language
  • Strong understanding of database and server internals
  • Knowledge of Linux system administration, shell scripting, and basic networking
  • Experience developing and consuming REST APIs

Preferred Qualifications
  • Degree (or equivalent experience) in computer science, information technology, or a related field
  • Knowledge of disaster recovery and backup strategies for data systems
  • Experience mentoring and developing other engineers

What you'll get
Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks.
About us
Rocket is a Detroit-based company made up of businesses that provide simple, fast and trusted digital solutions for complex transactions. The name comes from our flagship business, now known as Rocket Mortgage®, which was founded in 1985. Today, we're a publicly traded company involved in many different industries, including mortgages, fintech, real estate and more. We're insistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals.
This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers@Rocket.com.