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Navitas Jobs in Michigan (NOW HIRING)

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Navitas information

See Michigan salary details

$30

$36

$49

How much do navitas jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for navitas in Michigan is $36.82, according to ZipRecruiter salary data. Most workers in this role earn between $31.83 and $46.11 per hour, depending on experience, location, and employer.

What are some typical challenges faced by staff working in student support roles at Navitas, and how can they overcome them?

Staff in student support roles at Navitas often encounter challenges such as managing a diverse student population, addressing a wide range of academic and personal concerns, and adapting to rapidly changing student needs. To overcome these challenges, it is important to stay proactive in communication, utilize available training in cross-cultural competence, and collaborate closely with academic and administrative teams. Building strong relationships with students and colleagues also helps in creating a supportive environment and resolving issues more efficiently.

What are the key skills and qualifications needed to thrive as a Navitas Education Consultant?

To thrive as a Navitas Education Consultant, you need a strong background in student recruitment, counseling, and knowledge of international education markets, typically supported by a relevant degree. Familiarity with CRM systems, student application platforms, and visa processing tools is often required. Excellent interpersonal communication, cultural sensitivity, and problem-solving skills help build trust and effectively support diverse student needs. These competencies are crucial for guiding students successfully through the admissions process and achieving organizational goals in a competitive global education environment.

What is the difference between Navitas vs Education Coordinator?

AspectNavitasEducation Coordinator
Required CredentialsRelevant degrees, teaching certifications, visa requirementsDegree in education or related field, teaching certification often preferred
Work EnvironmentInternational education institutions, language schools, universitiesSchools, colleges, universities, educational programs
Employer & Industry UsageGlobal education providers, private institutions, universitiesEducational institutions, government programs, private schools
Common Search & ComparisonYesYes

Navitas is a global education provider offering various programs, while an Education Coordinator typically manages educational activities within institutions. Both roles require relevant credentials and work in similar environments, but Navitas often involves international program management, whereas Education Coordinators focus on day-to-day educational operations.

What is Navitas?

Navitas is a global education provider that offers a variety of programs and services to support students in their academic journeys. The company partners with universities and educational institutions to deliver pathway programs, English language courses, and higher education opportunities for international students. Navitas helps students transition smoothly into university life and succeed in their chosen fields by providing academic support, mentoring, and tailored learning experiences. Their services are available in multiple countries, making them a well-recognized name in global education.
What are popular job titles related to Navitas jobs in Michigan? For Navitas jobs in Michigan, the most frequently searched job titles are:
Infographic showing various Navitas job openings in Michigan as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $76,591 per year, or $36.8 per hour.

$16.75 - $21.50/hr

Full-time, Internship

Posted 7 days ago


Job description

Navitas Systems LLC, a leader in comprehensive energy storage solutions, was formed in 2011 with the merger of MicroSun Innovative Energy Storage Solutions and MicroSun Electronics, and the acquisition of lithium battery company A123 Systems’ Government Solutions Group. In 2019, East Penn Manufacturing, one of the world’s leading battery manufacturers, acquired majority interest in Navitas Systems. In SEVEN remarkable decades, East Penn has grown from a one-room shop with a product line of five automotive batteries to one of the world’s leading battery manufacturers with over 10,500 full-time employees, 515 product designs, operations around the world, and hundreds of awards for industry excellence.

At our Navitas facilities we engage in the research, design, development, and manufacture of advanced lithium cells and energy storage products and systems for both commercial customers and U.S. Government/military customers. We invest in our people, they are and always will be the heart of this company. Are you ready to join a family-owned enterprise committed to honoring the contributions of everyone? Then Navitas is the right place for you.


Navitas Systems is currently seeking a curious and technically strong Data Engineering Intern to join our BIS (Business Intelligence & Systems) team. The intern will help build and maintain the data pipelines, integrations, and warehouse infrastructure that power analytics, reporting, and decision-making across Navitas.

This is a hands-on opportunity to work directly with enterprise systems and contribute to the foundation of a modern data platform being built from the ground up. The intern will gain real-world experience in SQL development, ETL/ELT design, data modeling, and integration patterns in a fast-paced manufacturing environment.

Working hours will be scheduled around the intern's class schedule, but must be the same days and hours each week. The intern is expected to confirm their weekly schedule with their manager within two weeks of their start date.***Candidate must be lawful permanent resident or US Citizen and be able to work on site in Ann Arbor, MI


  • Assist in designing, building, and maintaining ETL/ELT pipelines that move data from source systems (ERP, MES, CRM, SharePoint, Excel) into the central data warehouse.
  • Write, optimize, and troubleshoot SQL queries, stored procedures, and views against SQL Server databases.
  • Support the design and implementation of star schema models, data marts, and semantic layers that feed Power BI and downstream consumers.
  • Help connect and integrate enterprise systems (Expandable ERP, Ignition MES, Salesforce, Dayforce, Jira) into the central data platform.
  • Build and run validation checks to ensure accuracy, completeness, and consistency of data flowing through pipelines.
  • Contribute to scheduled jobs, refresh cadences, and automation efforts that reduce manual data movement and reporting overhead.
  • Assist in monitoring pipeline health, identifying failures, and resolving data issues in partnership with IT and BIS team members.
  • Document data sources, transformations, schemas, and lineage; contribute to data governance and metric standardization efforts.
  • Use Jira to manage work items and SharePoint to publish documentation; collaborate with BI developers, analysts, and business stakeholders.

Required
  • Currently pursuing a Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field.
  • Must be a US Citizen or have a valid green card
  • Must be able to work on site at our Ann Arbor location
  • Strong working knowledge of SQL (joins, aggregations, subqueries, window functions) against relational databases.
  • Familiarity with SQL Server or comparable RDBMS (PostgreSQL, MySQL, Oracle).
  • Understanding of ETL/ELT concepts, data warehousing fundamentals, and relational data modeling.
  • Proficiency in at least one scripting language (Python preferred; PowerShell or similar acceptable).
  • Familiarity with Microsoft SharePoint for collaboration and documentation.
  • Familiarity with Jira (or similar work management tools) for tracking tasks and stories.
Preferred
  • Exposure to Power BI (semantic models, Power Query, DAX basics).
  • Familiarity with star schema / dimensional modeling (Kimball methodology).
  • Experience with Git and version control workflows.
  • Exposure to cloud data platforms (Azure, Fabric, OneLake, Databricks, Snowflake) or on-premises data lake/lakehouse concepts.
  • Familiarity with APIs, REST, JSON, and integration patterns between SaaS systems.
  • Exposure to MES, ERP, or manufacturing data environments.
  • Understanding of data governance, lineage, and metadata management concepts.
  • Coursework or projects involving data pipelines, distributed systems, or large-scale data processing.