The Associate Data Engineer role is entry-level, focusing on supporting the development and maintenance of data pipelines and platforms while collaborating with experienced practitioners.
The Associate Data Engineer role is entry-level, focusing on supporting the development and maintenance of data pipelines and platforms while collaborating with experienced practitioners.
... engineer , Python/Java developer , DevOps/cloud engineer , plus data-track roles like data analyst , BI analyst , data engineer , data scientist , and ML/AI engineer . The focus areas remain: Java ...
... engineer , Python/Java developer , DevOps/cloud engineer , plus data-track roles like data analyst , BI analyst , data engineer , data scientist , and ML/AI engineer . The focus areas remain: Java ...
Data Entry/Admin Staff
Novi, MI · On-site
$18 - $20/hr
Data Entry / Admin Position Pay: $18.00 - $20.00 per hour Schedule: * 8 hour shift * Day shift: 9 ... engineers, sanitization services, and government defense. WE ARE MORE THAN A STAFFING COMPANY.
Data Entry/Admin Staff
Novi, MI · On-site
$18 - $20/hr
Data Entry / Admin Position Pay: $18.00 - $20.00 per hour Schedule: * 8 hour shift * Day shift: 9 ... engineers, sanitization services, and government defense. WE ARE MORE THAN A STAFFING COMPANY.
Encounter Data Specialist
Okemos, MI · Hybrid
$15.50 - $20.50/hr
... data entry or general data maintenance for eligibility, providers, fee sets, and benefits for ... system programming with other departments to minimize repeat issues. * Creates and maintains an ...
Encounter Data Specialist
Okemos, MI · Hybrid
$15.50 - $20.50/hr
... data entry or general data maintenance for eligibility, providers, fee sets, and benefits for ... system programming with other departments to minimize repeat issues. * Creates and maintains an ...
Encounter Data Specialist
Okemos, MI · On-site
$15.50 - $20.50/hr
... data entry or general data maintenance for eligibility, providers, fee sets, and benefits for ... system programming with other departments to minimize repeat issues. * Creates and maintains an ...
Encounter Data Specialist
Okemos, MI · On-site
$15.50 - $20.50/hr
... data entry or general data maintenance for eligibility, providers, fee sets, and benefits for ... system programming with other departments to minimize repeat issues. * Creates and maintains an ...
AI/ML Data Scientist (GPSSC)
Warren, MI · On-site
This role requires programming and statistical techniques to solve complex problems and work within ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...
AI/ML Data Scientist (GPSSC)
Warren, MI · On-site
This role requires programming and statistical techniques to solve complex problems and work within ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...
AI/ML Data Scientist (GPSSC)
Warren, MI · On-site
This role requires programming and statistical techniques to solve complex problems and work within ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...
AI/ML Data Scientist (GPSSC)
Warren, MI · On-site
This role requires programming and statistical techniques to solve complex problems and work within ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...
Senior Encounter Data Specialist
Okemos, MI · Hybrid
$15.50 - $20.50/hr
... data entry or general data maintenance for eligibility, providers, fee sets, and benefits for ... programming with other departments to minimize repeat issues. * Oversees the development and ...
Senior Encounter Data Specialist
Okemos, MI · Hybrid
$15.50 - $20.50/hr
... data entry or general data maintenance for eligibility, providers, fee sets, and benefits for ... programming with other departments to minimize repeat issues. * Oversees the development and ...
Senior Encounter Data Specialist
Okemos, MI · On-site
$15.50 - $20.50/hr
... data entry or general data maintenance for eligibility, providers, fee sets, and benefits for ... programming with other departments to minimize repeat issues. * Oversees the development and ...
Senior Encounter Data Specialist
Okemos, MI · On-site
$15.50 - $20.50/hr
... data entry or general data maintenance for eligibility, providers, fee sets, and benefits for ... programming with other departments to minimize repeat issues. * Oversees the development and ...
Customs Specialist
Troy, MI · On-site
... and engineering excellence. We are looking for talented individuals who are excited by the ... US Post Entry Corrections & Data Retention * Perform Duty Rate Analysis * Entry Data Analysis ...
Customs Specialist
Troy, MI · On-site
... and engineering excellence. We are looking for talented individuals who are excited by the ... US Post Entry Corrections & Data Retention * Perform Duty Rate Analysis * Entry Data Analysis ...
... and engineering excellence. We are looking for talented individuals who are excited by the ... US Post Entry Corrections & Data Retention * Perform Duty Rate Analysis * Entry Data Analysis ...
... and engineering excellence. We are looking for talented individuals who are excited by the ... US Post Entry Corrections & Data Retention * Perform Duty Rate Analysis * Entry Data Analysis ...
Jr. Data Analyst
Jackson, MI · On-site
... Assist with data entry tasks and support ongoing automation initiatives using Power Automate ... , or related field (preferred)
Quick apply
Jr. Data Analyst
Jackson, MI · On-site
... Assist with data entry tasks and support ongoing automation initiatives using Power Automate ... , or related field (preferred)
Data Architect (W2 Position)
Dearborn, MI · On-site
$60 - $65/hr
... Entry, Database Design, Acceptance Testing, Data Collection, Data Integrity, Data Architecture ... Familiarity with User Experience (UX) principles and/or DevOps concepts is a significant plus.
Quick apply
Data Architect (W2 Position)
Dearborn, MI · On-site
$60 - $65/hr
... Entry, Database Design, Acceptance Testing, Data Collection, Data Integrity, Data Architecture ... Familiarity with User Experience (UX) principles and/or DevOps concepts is a significant plus.
Ownmodel and data observabilityin production, including metrics, dashboards, alerts, and ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...
Ownmodel and data observabilityin production, including metrics, dashboards, alerts, and ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...
Ownmodel and data observabilityin production, including metrics, dashboards, alerts, and ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...
Ownmodel and data observabilityin production, including metrics, dashboards, alerts, and ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...
Own model and data observability in production, including metrics, dashboards, alerts, and ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...
Own model and data observability in production, including metrics, dashboards, alerts, and ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...
Own model and data observability in production, including metrics, dashboards, alerts, and ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...
Own model and data observability in production, including metrics, dashboards, alerts, and ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...
Own model and data observability in production, including metrics, dashboards, alerts, and ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...
Own model and data observability in production, including metrics, dashboards, alerts, and ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...
Senior Engineering Data Management Specialist
Warren, MI · On-site
$99K - $135K/yr
The Role: The Senior Engineering Data Management Specialist is responsible for the governance ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...
Senior Engineering Data Management Specialist
Warren, MI · On-site
$99K - $135K/yr
The Role: The Senior Engineering Data Management Specialist is responsible for the governance ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...
Senior Engineering Data Management Specialist
Warren, MI · On-site +1
$99K - $135K/yr
The Role: The Senior Engineering Data Management Specialist is responsible for the governance ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...
Senior Engineering Data Management Specialist
Warren, MI · On-site +1
$99K - $135K/yr
The Role: The Senior Engineering Data Management Specialist is responsible for the governance ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...
Entry Data Engineer information
See Michigan salary details
$9.64 - $11.01
1% of jobs
$11.01 - $12.38
5% of jobs
$12.38 - $13.75
13% of jobs
$14.21 is the 25th percentile. Wages below this are outliers.
$13.75 - $15.12
19% of jobs
The median wage is $16.04 / hr.
$15.12 - $16.50
19% of jobs
$16.50 - $17.87
15% of jobs
$18.48 is the 75th percentile. Wages above this are outliers.
$17.87 - $19.24
9% of jobs
$19.24 - $20.61
8% of jobs
$20.61 - $21.98
6% of jobs
$21.98 - $23.35
3% of jobs
$23.35 - $24.72
2% of jobs
$9
$16
$24
How much do entry data engineer jobs pay per hour?
As of Jun 20, 2026, the average hourly pay for entry data engineer in Michigan is $16.97, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $19.09 per hour, depending on experience, location, and employer.
What is the difference between Entry Data Engineer vs Data Analyst?
| Aspect | Entry Data Engineer | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's in CS, IT, or related field; knowledge of SQL, Python, ETL tools | Bachelor's in Statistics, Math, or related; proficiency in Excel, SQL, visualization tools |
| Work Environment | Data engineering teams, cloud platforms, data warehouses | Business units, reporting teams, data visualization tools |
| Employer & Industry Usage | Tech companies, finance, healthcare, e-commerce | Marketing, finance, consulting, retail |
Entry Data Engineers focus on building and maintaining data pipelines and infrastructure, while Data Analysts interpret data to generate insights. Both roles require SQL and data handling skills, but Data Engineers typically work more on data architecture, whereas Data Analysts focus on analysis and reporting.
What are the key skills and qualifications needed to thrive as an Entry Data Engineer, and why are they important?
To thrive as an Entry Data Engineer, you need a solid understanding of programming (often Python or SQL), data structures, and database fundamentals, typically supported by a relevant degree in computer science or a related field. Familiarity with ETL tools, cloud data platforms (such as AWS or Azure), and version control systems like Git is commonly required. Strong analytical thinking, attention to detail, and effective communication help you collaborate with teams and troubleshoot data issues. These skills are crucial to ensure high-quality, efficient data pipelines and enable data-driven decision-making within organizations.
What are some common challenges faced by entry-level data engineers during their first year on the job?
Entry-level data engineers often encounter challenges such as learning new data pipeline tools, understanding complex legacy systems, and adapting to the fast pace of data-driven environments. Balancing requests from multiple stakeholders and ensuring data accuracy can also be demanding, especially when dealing with large datasets. However, most teams provide mentorship and training to help new hires get up to speed, and collaboration with experienced engineers is encouraged to support skill development.
What does an Entry Data Engineer do?
An Entry Data Engineer is responsible for assisting in the design, development, and maintenance of data pipelines and databases. They work with raw data, helping to clean, organize, and prepare it for analysis by more senior engineers or data scientists. Their tasks often include writing basic SQL queries, automating data collection processes, and supporting data quality initiatives. Entry-level data engineers typically work under the guidance of more experienced team members to learn best practices and develop their technical skills.
What are popular job titles related to Entry Data Engineer jobs in Michigan? For Entry Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Entry Data Engineer jobs in Michigan look for? The top searched job categories for Entry Data Engineer jobs in Michigan are:
Full-time
Posted 11 days ago
IBM rating
7.9
Based on 72 frontline employees who took The Breakroom Quiz
100th of 191 rated software companies
Job description
Job Summary:
IBM Consulting Client Innovation Centers (CICs) are environments where technologists build real solutions for clients. The Associate Data Engineer role is entry-level, focusing on supporting the development and maintenance of data pipelines and platforms while collaborating with experienced practitioners.
Responsibilities:
• Support the development and maintenance of data pipelines used for analytics, reporting, and machine learning
• Assist with extracting, transforming, and loading (ETL/ELT) data from multiple sources into data platforms
• Contribute to data cleansing, validation, and transformation activities using Python and SQL
• Help prepare datasets for downstream consumption by analytics and data science teams
• Support batch and, where applicable, near-real-time data processing workflows under guidance
• Collaborate with data engineers, data scientists, and other team members in Agile delivery environments
• Build data engineering skills through training, mentorship, and hands-on delivery experience
• Work with functional and technical team members to help integrate data solutions into client business environments
Qualifications:
Required:
• Strong foundation in computer science fundamentals, including data structures and algorithms
• Strong analytical and problem-solving skills with attention to data quality and reliability
• Comfortable working onsite in a collaborative, team-based environment
• Ability to work effectively in a technology-driven consulting environment where tools, platforms, and client needs evolve over time
• Strong analytical and problem-solving skills, with the ability to approach complex tasks using structured, logical thinking
• Ability to learn new systems and technologies quickly and apply them in a delivery setting
• Proficiency in Python (preferred) or another programming language used for data processing
• Hands-on experience using data manipulation tools such as pandas, NumPy, and SQL, gained through coursework, labs, projects, or internships
• Ability to write clear, maintainable code for data transformation and processing tasks
• Understanding of ETL/ELT concepts and how data moves from source systems to consumption layers
• Familiarity with relational databases and SQL for querying and data manipulation
• Basic understanding of data modeling concepts such as schemas, normalization, or dimensional models
• Exposure to cloud-based data or analytics platforms (e.g., AWS, Azure, or Google Cloud) through coursework, labs, or projects
• Familiarity with core cloud data services such as object storage, databases, or analytics services
• Ability to translate business or functional requirements into technical solutions, with guidance from senior team members
• Comfortable working onsite in a collaborative, team-based environment
• Strong willingness to learn, accept feedback, and continuously improve
• Familiarity with generative AI concepts, including basic modeling approaches, responsible use, and ethical considerations, gained through coursework, projects, or self-study
Preferred:
• Master's Degree
• Exposure to distributed data processing tools such as Apache Spark or PySpark
• Familiarity with modern data warehouse technologies (e.g., Snowflake, Redshift, BigQuery)
• Exposure to streaming or event-based data concepts
• Familiarity with version control tools such as Git
• Basic awareness of how data engineering supports machine learning workflows
Company:
IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions. Founded in 1911, the company is headquartered in Armonk, USA, with a team of 10001+ employees. The company is currently Late Stage.
IBM Consulting Client Innovation Centers (CICs) are environments where technologists build real solutions for clients. The Associate Data Engineer role is entry-level, focusing on supporting the development and maintenance of data pipelines and platforms while collaborating with experienced practitioners.
Responsibilities:
• Support the development and maintenance of data pipelines used for analytics, reporting, and machine learning
• Assist with extracting, transforming, and loading (ETL/ELT) data from multiple sources into data platforms
• Contribute to data cleansing, validation, and transformation activities using Python and SQL
• Help prepare datasets for downstream consumption by analytics and data science teams
• Support batch and, where applicable, near-real-time data processing workflows under guidance
• Collaborate with data engineers, data scientists, and other team members in Agile delivery environments
• Build data engineering skills through training, mentorship, and hands-on delivery experience
• Work with functional and technical team members to help integrate data solutions into client business environments
Qualifications:
Required:
• Strong foundation in computer science fundamentals, including data structures and algorithms
• Strong analytical and problem-solving skills with attention to data quality and reliability
• Comfortable working onsite in a collaborative, team-based environment
• Ability to work effectively in a technology-driven consulting environment where tools, platforms, and client needs evolve over time
• Strong analytical and problem-solving skills, with the ability to approach complex tasks using structured, logical thinking
• Ability to learn new systems and technologies quickly and apply them in a delivery setting
• Proficiency in Python (preferred) or another programming language used for data processing
• Hands-on experience using data manipulation tools such as pandas, NumPy, and SQL, gained through coursework, labs, projects, or internships
• Ability to write clear, maintainable code for data transformation and processing tasks
• Understanding of ETL/ELT concepts and how data moves from source systems to consumption layers
• Familiarity with relational databases and SQL for querying and data manipulation
• Basic understanding of data modeling concepts such as schemas, normalization, or dimensional models
• Exposure to cloud-based data or analytics platforms (e.g., AWS, Azure, or Google Cloud) through coursework, labs, or projects
• Familiarity with core cloud data services such as object storage, databases, or analytics services
• Ability to translate business or functional requirements into technical solutions, with guidance from senior team members
• Comfortable working onsite in a collaborative, team-based environment
• Strong willingness to learn, accept feedback, and continuously improve
• Familiarity with generative AI concepts, including basic modeling approaches, responsible use, and ethical considerations, gained through coursework, projects, or self-study
Preferred:
• Master's Degree
• Exposure to distributed data processing tools such as Apache Spark or PySpark
• Familiarity with modern data warehouse technologies (e.g., Snowflake, Redshift, BigQuery)
• Exposure to streaming or event-based data concepts
• Familiarity with version control tools such as Git
• Basic awareness of how data engineering supports machine learning workflows
Company:
IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions. Founded in 1911, the company is headquartered in Armonk, USA, with a team of 10001+ employees. The company is currently Late Stage.
About IBM
Sourced by ZipRecruiter
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
Industry
It services
Company size
10,000+ Employees
Headquarters location
Armonk, NY, US
Year founded
1911