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Associate Data Engineer Jobs in Michigan (NOW HIRING)

2026 Spring Power BI / Data Science Co-op

Plymouth, MI · On-site

$56.20K - $56.60K/yr

The role involves learning and applying data science tools, contributing to data pipelines, and ... Company : SMEUSA is a civil engineering company that offers development, construction and ...

New

Data Architect

Dearborn, MI

$58.50 - $75.25/hr

Programming * GCP * Software Development * Data Architecture * Data/Analytics * Big Query ... Senior Associate Exp: 6-10 yrs in IT * 4+ yrs in concentration Education Required: * Bachelor ...

Architect Senior Associate

Dearborn, MI · On-site

$61.75 - $82.75/hr

This role is ideal for professionals with a strong foundation in data engineering and hands-on programming , combined with meaningful exposure to data architecture practices for analytics systems

Infrastructure Engineering Engineer

Dearborn, MI · On-site

$98.80K - $129.50K/yr

Partner with data engineers to ensure the VESSE ecosystem has access to high-quality, labeled ... Senior Associate Exp: 3 to 5 year's experience in relevant field Experience Preferred: * As the ...

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

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

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Associate Data Engineer information

See Michigan salary details

$8

$16

$26

How much do associate data engineer jobs pay per hour?

As of May 30, 2026, the average hourly pay for associate data engineer in Michigan is $16.33, according to ZipRecruiter salary data. Most workers in this role earn between $13.41 and $17.40 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an Associate Data Engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What does an Associate Data Engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What are the most commonly searched types of Data Engineer jobs in Michigan? The most popular types of Data Engineer jobs in Michigan are:
What are popular job titles related to Associate Data Engineer jobs in Michigan? For Associate Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineer jobs in Michigan look for? The top searched job categories for Associate Data Engineer jobs in Michigan are:
What cities in Michigan are hiring for Associate Data Engineer jobs? Cities in Michigan with the most Associate Data Engineer job openings:
Data Strategy & Governance -Director

Data Strategy & Governance -Director

Pwc

Grand Rapids, MI

$155K - $410K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

20th of 57 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Director

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Lead in line with our values and brand.
Develop new ideas, solutions, and structures; drive thought leadership.
Solve problems by exploring multiple angles and using creativity, encouraging others to do the same.
Balance long-term, short-term, detail-oriented, and big picture thinking.
Make strategic choices and drive change by addressing system-level enablers.
Promote technological advances, creating an environment where people and technology thrive together.
Identify gaps in the market and convert opportunities to success for the Firm.
Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics team, you will drive the strategic direction of data initiatives and enhance decision-making processes. As a Director, you will set the vision for business growth, mentor future leaders, and maintain impactful executive-level client relations while fostering an environment where innovation thrives. This role presents a unique opportunity to lead transformative projects that shape the future of data strategy and governance within our organization.
Responsibilities
- Drive the strategic direction of data initiatives and enhance decision-making frameworks
- Establish a vision for business expansion and innovation
- Mentor and develop future leaders within the organization
- Maintain executive client relationships and engagement
- Lead transformative projects that influence data strategy and governance
- Foster a culture of creativity and innovation within the team
- Collaborate across departments to enhance productivity and effectiveness
- Uphold adherence to professional standards and industry practices in data management
What You Must Have
- Bachelor's Degree
- At least 10 years of experience
What Sets You Apart
- AWS Certified Data Analytics / Solutions Architect
- Azure Data Engineer / Azure Solutions Architect
- Google Professional Data Engineer
- DAMA CDMP (Certified Data Management Professional)
- Informatica Certified Professional
- Alation Certified Data Catalog Professional
- Collibra Certified Ranger/Steward/Expert
- SAP Certified Application Associate - SAP Master Data Governance (MDG)
- SnowPro Core / SnowPro Advanced
- Databricks Certified Data Engineer/Data Analyst/ML
- Proven leadership in data-driven strategies
- Demonstrating thought leadership in data governance
- Collaborating on strategy and transformation projects
- Understanding modern cloud data architectures
- Implementing cloud data integration patterns
- Applying knowledge in big data engineering
- Designing advanced analytics solutions and AI/ML models
- Supporting business development efforts

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $155,000 - $410,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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