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Python Developer Iii

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Python Developer Iii Jobs

Miami University

Michigan Technological University

Hybrid

Sub Department: Michigan Tech Research Institute (MTRI)
 
Michigan Technological University is an R1 technological research university founded in 1885 in Houghton. Our rural campus is situated just miles from Lake Superior in Michigan's scenic Upper Peninsula and is home to nearly 7,500 students from more than 60 countries around the world. Consistently ranked among the best universities in the country for return on investment, Michigan’s flagship technological university offers more than 185 <a href="https://www.mtu.edu/admissions/academics/majors/">undergraduate</a> and <a href="https://www.mtu.edu/gradschool/programs/degrees/">graduate</a> degree programs. Research focus areas include defense, health, energy, automotive, environment, and aerospace.
The area’s waters, forests, and snowfall support year-round recreation, including skiing, snowboarding, hiking, biking, and paddling. The University is an integral part of the region, supported by a friendly and welcoming community that takes pride in being a true college town. We embrace our size, climate, sense of adventure, and originality.




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Summary


At Michigan Technological University is seeking a Machine Learning Engineer III for our Michigan Tech Research Institute (MTRI) department. At MTRI, we develop advanced technologies that help our nation better understand, sense, and operate within complex natural and human-made environments. Our work spans multidisciplinary research and applied development, advancing ideas from foundational concepts to mission-relevant prototypes. We are seeking a Senior Machine Learning (ML) Engineer to lead technical efforts in applied ML research and development (R&amp;D). This role focuses on designing, developing, and evaluating advanced ML algorithms and systems, leading technical execution across research programs, and advancing capabilities from early-stage concepts through prototype demonstration. The successful candidate will serve as a technical leader within projects and contribute to proposal development and research direction. Candidates for this position may opt to work in either Ann Arbor, MI or Dayton, OH.




Responsibilities and Essential Duties


1. Lead the development and evaluation of ML algorithms, models, and prototype systems 2. Lead design, development, and evaluation of ML models for structured, unstructured, and sensor-derived data 3. Lead technical execution of ML efforts within research programs 4. Translate sponsor needs into technically sound ML approaches within project scope 5. Define experimental design, validation strategies, and performance metrics to assess model performance and robustness 6. Architect ML pipelines for data ingestion, training, validation, and deployment 7. Present technical results to sponsors and contribute to reports, publications, and briefings 8. Develop and evaluate prototype ML systems, including integration with sensing, software, or hardware platforms 9. Advance ML capabilities across TRLs 2-6 through modeling, experimentation, and demonstration 10. Contribute to proposal development and technical direction within research efforts 11. Mentor junior engineers and support development of technical staff 12. Commit to learning about continuous improvement strategies and applying them to everyday work. Actively engage in University continuous improvement initiatives 13. Apply safety-related knowledge, skills, and practices to everyday work.




Required Education, Certifications, Licensures


Master’s or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or related field




Required Experience


1. Minimum of 6 years of relevant experience in applied ML research or ML system development 2. Experience leading technical tasks or workstreams within ML projects




Desirable Education and/or Experience


1. 8-12 years of experience in a related technical field 2. Experience serving as PI or Technical Lead on funded research projects, including responsibility for scope, execution, and deliverables 3. Experience leading technical proposal efforts (BAAs, SBIR/STTR, RFPs) 4. Experience contributing to research proposal capture strategy 5. Experience contributing to publications or conference presentations 6. Experience coordinating small teams or groups within ML-focused projects




Required Knowledge, Skills, and/or Abilities


1. Ability to obtain a U.S. Department of Defense security clearance, which requires United States citizenship. Obtaining a national security clearance while holding a dual citizenship will not be possible when the foreign country poses a risk to the national security of the United States 2. Strong knowledge of ML frameworks (e.g., PyTorch, TensorFlow) and Python-based development 3. Proficiency in Python and scientific computing libraries 4. Ability to design and execute rigorous experimental methodologies 5. Ability to communicate technical concepts to sponsors and stakeholder




Desirable Knowledge, Skills, and/or Abilities


1. Active government security clearance at Secret-level or higher 2. Knowledge of sensor-integrated ML (e.g., RF, SAR, geospatial, multimodal data) 3. Experience with MLOps and scalable ML infrastructure 4. Ability to deploy ML systems in secure, hybrid, or HPC environments 5. Ability to guide research technical direction across multiple related efforts or capability areas of a program




Work Environment and/or Physical Demands

WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually low to moderate 



Required Training and Other Conditions of Employment


Every employee at Michigan Technological University will receive the following 4 required trainings; additional training may be required by the department. Required University Training: • Employee Safety Overview • Anti-Harassment, Discrimination, Retaliation Training • Annual Data Security Training • Annual Title IX Training Additional training will be required by the department on a periodic basis. Background Check: Offers of employment are contingent upon and not considered finalized until the required background check has been performed and the results received and assessed.



Full-Time Equivalent (FTE) % (1=100%)

1




FLSA Status


Exempt




Appointment Term


12 months




Shift


-




Pay Rate/Salary


Salary is commensurate with experience and qualifications




Title of Position Supervisor


Senior Research Engineer




Posting Type

Internal and External



Dependent on Funding

Yes



Additional Information


This position is contingent upon the continued availability of external funding.




To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
If you require any auxiliary aids, services, or accommodations during Michigan Tech’s hiring process please notify the Human Resources office at 906-487-2280 or hr-help@mtu.edu.
 Other Conditions of Employment: Please note that successful applicants are responsible for ensuring their eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of your appointment, and maintain eligibility without sponsorship throughout your appointment. 
Michigan Technological University is an Equal Opportunity Educational Institution/Equal Opportunity Employer that provides equal opportunity for all, including protected veterans and individuals with disabilities.  
The <a href="https://www.mtu.edu/publicsafety/pdfs/annual-report.pdf">Annual Security and Fire Safety Report</a> contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. Michigan Tech will provide a paper copy upon request; please contact the Michigan Tech Public Safety.
In compliance with the federal Drug-Free Schools and Communities Act (DFSCA) and its implementing regulations (34 CFR Part 86), Michigan Tech is committed to maintaining a drugfree campus environment and actively promoting the health and safety of its community. Find <a href="https://www.mtu.edu/hr/current/docs/aod-notification.pdf">our notice</a> that outlines the University's policies, legal sanctions, health risks, and available support resources related to the unlawful possession, use, or distribution of illicit drugs and alcohol.
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Required Education, Certifications, Licensures* (minimum requirements)




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Machine Learning Engineer III

Minimum 6 years in applied ML research or ML systems; leadership of ML tasks; strong ML frameworks (PyTorch, TensorFlow) and Python; security clearance eligibility.

Job TitleBI ETL Data Developer II or IIIDepartment Business Intelligence TeamWorker TypeRegularPay TypeSalaryPosition Salary Minimum65,000Position Salary Maximum87,000Salary will be commensurate with the level of the position, education, and experience.Scheduled Weekly Hours40Benefit EligibleYesScreening Date2026-05-01Job Description SummaryThe Business Intelligence ETL Data Developer II develops, maintains, and supports scalable data pipelines and analytics solutions that enable data-informed decision-making across the University. In this role, you will take ownership of data pipelines and contribute directly to advancing modern data engineering practices within a cloud-based data ecosystem. You will collaborate with stakeholders and technical partners to deliver reliable, high-performing solutions, with a focus on data quality, maintainability, and continuous improvement.Job DescriptionEssential Duties BI ETL Data Developer II<ul><li>Develop, maintain, and enhance data pipelines using modern ELT tools (e.g., dbt, Fivetran, Airflow, or similar) in a cloud-based environment.</li><li>Write, optimize, and maintain SQL and/or Python-based transformations that support scalable analytics solutions.</li><li>Monitor, troubleshoot, and resolve issues in production data pipelines to ensure reliability, performance, and data integrity.</li><li>Implement data validation, testing, and quality checks to improve the consistency and trustworthiness of data assets.</li><li>Collaborate with stakeholders and technical partners to translate business needs into scalable data solutions.</li><li>Support and improve existing data integrations and workflows with a focus on maintainability and performance optimization.</li><li>Contribute to and follow best practices for version control, testing, and deployment (CI/CD).</li><li>Create and maintain documentation for data pipelines, models, and system processes.</li><li>Contribute to team practices that support consistent delivery and continuous improvement.</li><li>Stay current with emerging data tools and practices and apply them to improve team outcomes.</li></ul>Essential Duties BI ETL Data Developer III<ul><li>Design, develop, and optimize scalable data pipelines using modern ELT tools (e.g., dbt, Fivetran, Airflow, or similar) in a cloud-based environment.</li><li>Lead the development of advanced SQL and/or Python-based transformations supporting enterprise analytics and reporting.</li><li>Own production data pipelines, including monitoring, performance tuning, troubleshooting, and ensuring reliability and data integrity.</li><li>Design and implement robust data validation, testing, and quality frameworks to ensure trusted data at scale.</li><li>Design scalable data models and transformation patterns to support enterprise reporting and analytics needs.</li><li>Partner with stakeholders to translate complex business requirements into sustainable, high-impact data solutions.</li><li>Drive improvements to existing data pipelines and processes to enhance performance, scalability, and maintainability.</li><li>Lead adoption of best practices for version control, testing, deployment, and operational support (CI/CD).</li><li>Develop and maintain comprehensive documentation for data pipelines, models, and architecture.</li><li>Guide team practices that support consistent delivery, operational excellence, and continuous improvement.</li><li>Mentor team members and contribute to the growth of technical standards and capabilities across the team.</li></ul>Minimum Qualifications<ul><li>Bachelor’s degree in computer science, information technology, or a relevant field earned by date of hire with two to four or more years of relevant experience OR</li><li>Associate’s degree in computer science, information technology, or a relevant field earned by date of hire and four to six or more years of relevant experience.</li></ul>Knowledge, Skills, and Abilities:BI ETL Data Developer II<ul><li>Ability to analyze complex data and develop practical, scalable solutions.</li><li>Ability to troubleshoot and resolve data pipeline and data quality issues in a timely manner.</li><li>Ability to translate business needs into effective technical data solutions.</li><li>Ability to communicate technical concepts clearly to both technical and non-technical audiences.</li><li>Ability to work collaboratively across teams and build effective working relationships.</li><li>Ability to manage multiple priorities and adapt to changing requirements in a dynamic environment.</li><li>Ability to document solutions and processes to support maintainability and knowledge sharing.</li></ul>BI ETL Data Developer III<ul><li>Ability to design scalable, maintainable, and efficient data solutions that support enterprise needs.</li><li>Ability to diagnose and resolve complex technical and data-related issues.</li><li>Ability to translate complex business challenges into clear, sustainable technical solutions.</li><li>Ability to communicate complex technical concepts effectively to diverse audiences.</li><li>Ability to lead technical discussions and influence the adoption of best practices.</li><li>Ability to prioritize and manage multiple initiatives in a production environment.</li><li>Ability to mentor others and contribute to the growth and effectiveness of the team.</li></ul>Preferred Qualifications: BI ETL Data Developer II<ul><li>Experience developing and maintaining data pipelines using modern ELT tools (e.g., dbt, Fivetran, Airflow, or similar).</li><li>Experience working with cloud data platforms such as Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse.</li><li>Experience using Python for data processing, automation, or integration.</li><li>Experience implementing data validation, testing, or monitoring solutions.</li><li>Experience using version control systems (e.g., Git) and contributing to CI/CD workflows.</li><li>Experience building or supporting data models and analytics solutions.</li><li>Experience working in Agile or iterative development environments.</li><li>Experience supporting enterprise data systems in a higher education or similarly complex environment.</li></ul>​BI ETL Data Developer III<ul><li>Experience designing and optimizing scalable ELT pipelines using tools such as dbt, Fivetran, Airflow, or similar.</li><li>Experience working with cloud data platforms such as Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse at scale.</li><li>Strong experience using Python for data processing, automation, and system integration.</li><li>Experience designing dimensional data models and large-scale data transformations.</li><li>Experience implementing and managing data quality, testing, and monitoring frameworks.</li><li>Experience leading or significantly contributing to CI/CD practices for data pipelines.</li><li>Experience optimizing data pipelines for performance, scalability, and cost efficiency.</li><li>Experience working in complex organizational environments (e.g., higher education, healthcare, or enterprise settings).</li></ul>Additional Position Information (if applicable)Position Prospectus:  <a href="http://drive.google.com/file/d/1774tfYmTfbND4RrRXavlJZRqh8LiJhyn/view?usp&#61;drive_link" target="_blank">BI ETL Data Developer II/III</a>Required Application Documentsresume/CV, cover letterSpecial Instructions (if applicable)N/AAdditional InformationA criminal background check is required. All campuses are smoke- and tobacco-free campuses.This organization participates in E-Verify.Remote Work For positions that are approved for remote work: Remote work is not a right, it is a work arrangement that can be modified or revoked by Miami University at any time for any reason, including the convenience of the University. Reasonable Accommodations Requests for reasonable accommodations for disabilities related to employment should be directed to <a href="mailto:ADAFacultyStaff&#64;miamioh.edu" target="_blank">ADAFacultyStaff&#64;miamioh.edu</a> or 513-529-3560. Questions and follow-ups regarding requests should also be directed here.Miami University Values Statement <a href="https://miamioh.edu/" target="_blank">Miami University</a> is a scholarly community whose members believe that a liberal education is grounded in qualities of character as well as of intellect. We respect the dignity of other persons, the rights and property of others, and the right of others to hold and express disparate beliefs. We believe in honesty, integrity, and the importance of moral conduct. We defend the freedom of inquiry that is the heart of learning and combine that freedom with the exercise of judgment and the acceptance of personal responsibility.For more information on Miami University’s mission and core values, please visit the <a href="https://miamioh.edu/policy-library/mission-values/" target="_blank">Mission and Core Values</a> webpage. Equal Opportunity/Affirmative Action Statement Miami University, an Equal Opportunity/Affirmative Action employer, encourages applications from protected veterans and individuals with disabilities. Miami University prohibits harassment, discrimination and retaliation on the basis of age (40 years or older), color, disability, gender identity or expression, genetic information, military status, national origin (ancestry), pregnancy, race, religion, sex/gender, status as a parent or foster parent, sexual orientation, or protected veteran status in its application and admission processes, educational programs and activities, facilities, programs or employment practices. Requests for reasonable accommodations for disabilities related to employment should be directed to <a href="mailto:ADAFacultyStaff&#64;miamioh.edu" target="_blank">ADAFacultyStaff&#64;miamioh.edu</a> or 513-529-3560.Clery Act As part of the University’s commitment to maintaining a healthy and safe living, learning, and working environment, we encourage you to read Miami University’s Annual Security &amp; Fire Safety Report at: <a href="http://www.miamioh.edu/campus-safety/annual-report/index.html" target="_blank">http://www.MiamiOH.edu/campus-safety/annual-report/index.html</a>, which contains information about campus safety, crime statistics, and our drug and alcohol abuse and prevention program designed to prevent the unlawful possession, use, and distribution of drugs and alcohol on campus and at university events and activities. This report also contains information on programs and policies designed to prevent and address sexual violence, domestic violence, dating violence, and stalking. Each year, email notification of this website is made to all faculty, staff, and enrolled students. Written notification is also provided to prospective students and employees. Hard copies of the Annual Security &amp; Fire Safety Report may be obtained from the Miami University Police Department at 513-529-2223. Labor Law Posters for ApplicantsPlease visit our <a href="https://miamioh.edu/transformational-inclusive-excellence/oeeo/employment-recruitment/labor-posters.html" target="_blank">Labor Law Posters</a> webpage to access all relevant and applicable labor law information.

BI ETL Data Developer II or III

Design, develop, and maintain scalable data pipelines; SQL/Python; cloud ELT tools; CI/CD; 40 hrs/wk; salary 65k-87k.

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