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Senior Data Engineer Jobs in Wayne, MI (NOW HIRING)

Senior Data Engineer

Detroit, MI ยท 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 ...

Senior Data Engineer

Detroit, MI ยท 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 ...

Senior Data Engineer

Ann Arbor, MI ยท 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

Warren, MI ยท 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 ...

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

The Senior Data Engineer / Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and infrastructure using Databricks and related cloud technologies. This ...

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

The Senior Data Engineer / Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and infrastructure using Databricks and related cloud technologies. This ...

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 ยท 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

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 ...

Sr. Data Analyst

Detroit, MI ยท Hybrid

$85K - $107K/yr

Senior Data Analyst Location: Detroit, MI (Hybrid) Duration: 12 Month Contract Job Summary The ... data engineering concepts, ETL/ELT, data modeling, APIs, cloud platforms, and data quality ...

Senior Data Engineer, CRM

Detroit, MI ยท On-site

$104K - $142K/yr

As a Senior Data Engineer, you will be a key individual contributor responsible for building, maintaining, and governing the data architecture that powers Ford Pro's commercial ecosystem. You will ...

Data Engineer

Auburn Hills, MI ยท On-site

$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 ...

Showing results 21-40

Senior Data Engineer information

See Wayne, MI salary details

$73.2K

$114.1K

$158.1K

How much do senior data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for senior data engineer in Wayne, MI is $114,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $130,100.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineer jobs in Wayne, MI?

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

What are popular job titles related to Senior Data Engineer jobs in Wayne, MI?

For Senior Data Engineer jobs in Wayne, MI, the most frequently searched job titles are:

What cities near Wayne, MI are hiring for Senior Data Engineer jobs?

Cities near Wayne, MI with the most Senior Data Engineer job openings:

Infographic showing various Senior Data Engineer job openings in Wayne, MI as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $114,131 per year, or $54.9 per hour.

Senior Data Engineer

Rock Connections

Detroit, MI โ€ข On-site

$104K - $142K/yr

Full-time

Re-posted 25 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.