Explore 4 sql database developer jobs from 3 hiring companies in Shelby, MI, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Sql Database Developer

Muskegon

Norton Shores

Muskegon Heights

Ludington

Allendale

Hart

Grand Haven

Big Rapids

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Fremont

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North Muskegon

Wolf Lake

Manistee

Roosevelt Park

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Sql Database Developer Jobs

Howmet Aerospace

Ferris State University

GE Aerospace

Onsite

<h1><span class="emphasis-3"><b><b><b>Job Description Summary</b></b></b></span></h1>The Sr. Application Operations Engineer will be the primary technical owner for Oracle APEX, its infrastructure, and its integrations, with a strong emphasis on partnering closely with the DT team and manufacturing leadership in implementing digital SQDIP daily management at the sites within the value stream, to support the application infrastructure and integrations. In this role, you will collaborate with value stream leaders, production supervisors, and operations engineers to ensure digital tools directly support SQDC priorities and the needs of the turbine airfoils value stream.<br><br>You will sit at the intersection of DT, manufacturing, and operations, translating shop-floor requirements into stable, secure, and high-performing application solutions. You’ll work in lockstep with the local DT team to deliver reliable IT services that enable safe, efficient, and high-quality operations.<br><br>The ideal candidate will have a broad interest in technology and be responsible for the deployment, monitoring, and maintenance of our critical applications, ensuring their optimal performance and reliability. This role requires a proactive individual with a strong technical background and a passion for problem-solving.  A versatile computer savvy individual that is adaptable to support various levels of an IT ecosystem.<p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><h1><span class="emphasis-3"><b>Job Description</b></span></h1><p><b>Roles and Responsibilities:</b></p><ul><li><p><b>Application Deployment and Maintenance</b>: Manage the deployment, configuration, and maintenance of applications in various environments.</p></li><li><p><b>Monitoring and Performance Tuning</b>: Monitor application performance, identify issues, and implement solutions to ensure optimal performance and reliability.</p></li><li><p><b>Incident Management</b>: Respond to and resolve computer and software incidents, ensuring minimal downtime and impact on business operations.</p></li><li><p><b>Collaboration</b>: Work closely on development, QA, and infrastructure to ensure seamless integration and deployment of applications.</p></li><li><p><b>Automation</b>: Develop and implement automation scripts and tools to streamline application operations and improve efficiency.</p></li><li><p><b>Documentation</b>: Maintain documentation of application configurations, processes, and procedures.</p></li><li><p><b>Continuous Improvement</b>: Identify opportunities for process improvements and implement best practices to enhance application operations.</p></li><li><p><b>Collaborate</b> with cross-functional stakeholders.</p></li><li><p><b>Partner</b> with product service owners on new service introductions, changes, and transitions to operations.</p></li><li><p><b>Cultivate relationships</b> with customers and suppliers, reviewing innovative ideas, and improving resolution processes.</p></li></ul><p></p><p><b>Minimum Qualifications:</b></p><ul><li>Bachelor’s degree from accredited university or college with minimum of 2 years of professional experience OR associate&#39;s degree with minimum of 5 years of professional experience OR High School Diploma with minimum of 7 years of professional experience</li><li><b>Note</b>: Military experience is equivalent to professional experience</li></ul><p></p><p><b>Eligibility Requirement:</b></p><ul><li>Legal authorization to work in the U.S. is required.  We will not sponsor individuals for employment visas, now or in the future, for this job.</li></ul><p></p><p><b>Desired Characteristics:</b></p><p><i>Technical Expertise:</i></p><ul><li>Experience with sql, virtualization, containerization, databases, linux, OCI.</li><li>Understand concepts of setting and driving technical direction.</li><li>Familiar with elements of gathering functional requirements.</li><li>Understand technical standards and concepts to apply to project work.</li><li>Interest in current and emerging technologies demonstrated through training, job experience, and/or industry activities.</li></ul><p></p><p><i>Business Acumen:</i></p><ul><li>Understand key cross-functional concepts that impact the organization, aware of business priorities and organizational dynamics.</li></ul><p></p><p><i>Leadership:</i></p><ul><li>Coach and mentor team members.</li><li>Familiar with concepts of costing hardware and software components. Ensure work is on-time and within budget.</li><li>Deliver tasks on-time with alignment to architectural goals. Identify and raise issues, risks, and benefits.</li><li>Participate in change initiatives by implementing new directions and providing appropriate information and feedback.</li></ul><p></p><p><i>Personal Attributes:</i></p><ul><li>High level of energy and enthusiasm with the ability to thrive in a rapidly changing environment.</li><li>Demonstrated customer focus – evaluates decisions through the eyes of the customer; builds strong customer relationships; creates processes with customer viewpoint; partners with customers.</li><li>Change-oriented – actively generates process improvements; champions and drives change initiatives; confronts issues.</li><li>Ability to work with global teams, act independently, and as part of a team.</li><li>Apply values, policies, procedures, and precedent to make timely, routine decisions of limited, clear choice.</li><li>Open-minded to new perspectives or ideas. Consider different or unusual solutions when appropriate.</li><li>Resolve day-to-day issues related to strategy implementation. Escalate issues that impact the client and/or strategic initiatives.</li><li>Strong analytical and problem-solving skills – communicates clearly and succinctly; effectively evaluates information/data to make decisions; anticipates obstacles and develops plans to resolve them.</li></ul><p></p><p></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p><i><span style="font-size:12pt">This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)).</span></i></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><h1><span class="emphasis-3"><b><b><b>Additional Information</b></b></b></span></h1><div><div><div><div><div><div><div><p style="text-align:left"><span>GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an </span><a target="_blank" href="https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf">Equal Opportunity Employer</a><span><a target="_blank" href="http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf">.</a> Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.</span></p><p style="text-align:inherit"></p></div></div></div></div></div></div></div><p style="text-align:inherit"></p><p style="text-align:inherit"></p><div><div><div><div><div><div><div><p style="text-align:left"><span>GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). </span></p><p style="text-align:inherit"></p></div></div></div></div></div></div></div><p style="text-align:inherit"></p><p style="text-align:inherit"></p><div><div><div><div><div><div><div><p style="text-align:left"><b>Relocation Assistance Provided: </b>Yes</p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p></div></div></div></div></div></div></div>

Sr Application Operations Engineer

Bachelor's degree with 2+ years experience or Associate with 5+ years or High School with 7+ years; U.S. work authorization; experience with SQL, virtualization, containers, databases, Linux, OCI; leadership and problem-solving skills.

<h3>Responsibilities</h3><div><p>Howmet Aerospace Engines is hiring a Machine Learning Engineer with expertise in deep learning to join our innovative Research and Development team. This role involves building cutting-edge machine learning and deep learning applications and collaborating with cross-functional teams to support our casting, alloy, core, and rings facilities. &nbsp;Position will be based out of Whitehall, Michigan at our Howmet Research Center.</p><p><strong>Primary Responsibilities</strong><br>•&nbsp;&nbsp;&nbsp;&nbsp;Design, develop, and evaluate advanced deep learning architectures (e.g., CNNs, Mask R-CNNs, YOLO) to address complex manufacturing challenges.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Train and optimize generative models to accelerate development (e.g., diffusion models, VAEs, GANs).<br>•&nbsp;&nbsp;&nbsp;&nbsp;Build and refine machine learning algorithms to enhance Howmet products across all business units.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Construct, manipulate, and analyze large datasets using tools such as Python and SQL.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Leverage transfer learning techniques and pretrained models to achieve strong performance with limited data.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Fine tune existing models for specific applications and datasets.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Develop customized deep learning architectures to handle diverse data types.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Conduct statistical multi-factor analyses to uncover complex relationships and improve manufacturing processes.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Present data-derived conclusions to a non-technical audience.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Identify opportunities to optimize processes and implement continuous improvement tools using machine learning.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Promote a data-driven culture across the organization by expanding machine learning applications and leading training initiatives.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Collaborate with internal customers to validate trials, implement process enhancements, and integrate machine learning into production workflows.<br>&nbsp;</p></div><h3>Qualifications</h3><div><p><strong>Basic Qualifications:</strong><br>•&nbsp;&nbsp;&nbsp;&nbsp;BS degree from an accredited university in Engineering, Data Science, Computer Science, Machine Learning, Materials Science, Mathematics, Statistics, or Analytics.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Minimum of 2 years of hands-on experience in deep learning and machine learning demonstrating ability to apply advanced statistical methods and machine learning algorithms to production/field data using Python.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Experience with feature engineering techniques (feature creation, selection, and transformation).<br>•&nbsp;&nbsp;&nbsp;&nbsp;Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.</p><p><br><strong>Preferred Qualifications:</strong><br>•&nbsp;&nbsp;&nbsp;&nbsp;Minimum of 5 years of professional experience in data science or machine learning.<br>•&nbsp;&nbsp;&nbsp;&nbsp;MS or PhD degree from an accredited university in Engineering, Data Science, Computer Science, Machine Learning, Materials Science, Mathematics, Statistics, or Analytics<br>•&nbsp;&nbsp;&nbsp;&nbsp;Theoretical understanding and practical experience applying reinforcement learning techniques for real time decision making and control.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Experience using generative models such as diffusion models, VAEs and GANs<br>•&nbsp;&nbsp;&nbsp;&nbsp;Comprehensive knowledge of advanced analytics and machine learning techniques.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Strong statistical background with demonstrated expertise in analyzing industrial/manufacturing data.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Familiarity with manufacturing or industrial plant environments and their unique challenges.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Knowledge of software development life cycle (SDLC)&nbsp;<br>•&nbsp;&nbsp;&nbsp;&nbsp;Proficiency in visualization tools (e.g., Power BI)<br>•&nbsp;&nbsp;&nbsp;&nbsp;Exceptional verbal and written communication skills with the ability to convey complex ideas clearly.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Strong organizational skills and the ability to work independently and in a cross-functional team environment.</p><p><br><i>Why Join Us?</i><br>•&nbsp;&nbsp;&nbsp;&nbsp;Be at the forefront of innovation, applying machine learning to aerospace manufacturing.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Collaborate with a supportive, cutting-edge team dedicated to solving challenging real-world problems.<br>•&nbsp;&nbsp;&nbsp;&nbsp;Access professional growth opportunities and a chance to directly impact Howmet Aerospace’s success.<br>&nbsp;</p></div><h3>About Company</h3><div><span>The Howmet engines business produces world-class aerospace engine</span> <b> </b> <span>components, including investment castings, fasteners, rings and forgings. Our vacuum melted superalloys, machining, performance coatings and hot isostatic pressing for high performance parts enable the next generation of quieter, cleaner and more fuel-efficient aerospace engines. Able to supply more than 90% of structural and rotating aerospace engine components.</span> <br/> 
<ul style="margin-top:0in;">
</ul></div><h2>Company</h2><div>﻿Howmet Aerospace Inc. (NYSE: HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. Our primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels. With $7.4 Billion in revenue in 2024, our products play a crucial role in enabling fuel efficiency and lightweighting, contributing to our customers’ success and making a positive impact on the world. To learn more about the way Howmet Aerospace Inc. is advancing the sustainability of our customers, markets, and communities where we operate, review the 2024 Environmental Social and Governance report at&nbsp;<a href="https://www.howmet.com/esg-report/" target="_blank" rel="nofollow">www.howmet.com/esg-report</a>. Follow: <a href="https://www.linkedin.com/company/howmet-aerospace" target="_blank" rel="nofollow">LinkedIn</a>, <a href="https://twitter.com/howmetaerospace" target="_blank" rel="nofollow">Twitter</a>, <a href="https://www.instagram.com/howmetaerospace/" target="_blank" rel="nofollow">Instagram</a>, <a href="https://www.facebook.com/Howmetaerospace/" target="_blank" rel="nofollow">Facebook</a>, and <a href="https://www.youtube.com/howmetaerospace" target="_blank" rel="nofollow">YouTube</a>.
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 <u>Equal Opportunity Employer:</u>
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   Howmet is proud to be an Equal Employment Opportunity employer. We are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other applicable legally protected characteristics.
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   If you need assistance to complete your application due to a disability, please email&nbsp;TalentAcquisitionCoE_Howmet@howmet.com
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Machine Learning Engineer

BS in engineering/science; 2 years ML/DL experience; feature engineering; US work authorization; visa sponsorship not available.

HOWMET ENGINE SYSTEMS

<h3>Responsibilities</h3><div><p>As an Analyst Engineer at the Howmet Research Center, you will join a team of Data Scientists and Machine Learning Engineers.&nbsp;This team is part of a multidisciplinary R&amp;D group responsible for advancing the state-of-the-art in aerospace manufacturing at our casting, alloy, core and rings manufacturing facilities. You are a great fit for this team if you have the innate curiosity necessary to learn new processes, meet new people, and are persistently detail-oriented with a quality mindset. If you enjoy matching complex physical processes to corresponding data across multiple data sources, and transforming data into reliable, documented datasets for use in machine learning, reporting, and visualization tools, we would love to talk with you!</p><p><strong>Primary Responsibilities</strong></p><ul><li>Initiate working with manufacturing plant personnel to understand the detailed manufacturing process and data collection user interfaces</li><li>Initiate working with corporate and local IT to understand the data storage and sources that correlate to the plant process, and the most efficient way to query them</li><li>Query multiple data sources and join the data together to accurately represent the process</li><li>Explore the data to identify edge cases, data cleaning requirements, and bias – using statistics as necessary</li><li>Down-select, augment, and clean the dataset</li><li>Iterate the above steps to generate a representative and reliable dataset, checking your own work and being able to explain it to others at multiple levels of the organization</li><li>Collaborate with Data Scientists and Machine Learning Engineers to understand model input requirements</li><li>Transform the data to meet machine learning model input requirements</li><li>Provide post-modeling functions to translate model results to process-relatable values</li><li>Actively participate in leveling up proof-of-concept code to productionized scripts</li><li>Document projects in Power Point and reusable code, storing work in a revision-controlled system</li></ul></div><h3>Qualifications</h3><div><p>Basic Qualifications</p><ul><li>&nbsp;Bachelor’s degree in Engineering, Data Analysis, Data Science,&nbsp;Computer&nbsp;Science,&nbsp;or Information&nbsp;Systems</li><li>Must have experience in basic SQL querying skills</li><li>Demonstrated ability to transform data with a programming language</li><li>Strong working knowledge of Microsoft Office skills (Word, Excel, Powerpoint, Visio)</li><li>​Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.</li><li>This position entails access to export-controlled items and employment offers are conditioned upon an applicant's ability to lawfully obtain access to such items.</li></ul><p>Preferred Qualifications</p><ul style="list-style-type:disc;"><li style="tab-stops:list .5in;">Prior experience in a manufacturing environment&nbsp;</li><li style="tab-stops:list .5in;">Demonstrated ability using python for data transformation, analysis, and visualization&nbsp;&nbsp;</li><li style="tab-stops:list .5in;">Intermediate-to-Advanced SQL querying knowledge (window functions, pivots, etc.)&nbsp;</li><li style="tab-stops:list .5in;">Experience with other engineering data tools: SAS, Minitab, JMP, Advanced MS Excel, Power BI&nbsp;</li><li style="tab-stops:list .5in;">Familiarity with Six Sigma methodology or intermediate statistics&nbsp;</li><li style="tab-stops:list .5in;">Azure Data Lake and Databricks experience&nbsp;</li><li style="tab-stops:list .5in;">Familiarity with Git revision control&nbsp;</li><li style="tab-stops:list .5in;">Strong written and verbal communication skills&nbsp;&nbsp;</li><li style="tab-stops:list .5in;">Demonstrated ability to work effectively in a collaborative and matrixed team environment</li></ul></div><h3>About Company</h3><div><span>The Howmet engines business produces world-class aerospace engine</span> <b> </b> <span>components, including investment castings, fasteners, rings and forgings. Our vacuum melted superalloys, machining, performance coatings and hot isostatic pressing for high performance parts enable the next generation of quieter, cleaner and more fuel-efficient aerospace engines. Able to supply more than 90% of structural and rotating aerospace engine components.</span> <br/> 
<ul style="margin-top:0in;">
</ul></div><h2>Company</h2><div>﻿Howmet Aerospace Inc. (NYSE: HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. Our primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels. With $7.4 Billion in revenue in 2024, our products play a crucial role in enabling fuel efficiency and lightweighting, contributing to our customers’ success and making a positive impact on the world. To learn more about the way Howmet Aerospace Inc. is advancing the sustainability of our customers, markets, and communities where we operate, review the 2024 Environmental Social and Governance report at&nbsp;<a href="https://www.howmet.com/esg-report/" target="_blank" rel="nofollow">www.howmet.com/esg-report</a>. Follow: <a href="https://www.linkedin.com/company/howmet-aerospace" target="_blank" rel="nofollow">LinkedIn</a>, <a href="https://twitter.com/howmetaerospace" target="_blank" rel="nofollow">Twitter</a>, <a href="https://www.instagram.com/howmetaerospace/" target="_blank" rel="nofollow">Instagram</a>, <a href="https://www.facebook.com/Howmetaerospace/" target="_blank" rel="nofollow">Facebook</a>, and <a href="https://www.youtube.com/howmetaerospace" target="_blank" rel="nofollow">YouTube</a>.
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 <u>Equal Opportunity Employer:</u>
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 <div>
  <div>
   Howmet is proud to be an Equal Employment Opportunity employer. We are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other applicable legally protected characteristics.
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   If you need assistance to complete your application due to a disability, please email&nbsp;TalentAcquisitionCoE_Howmet@howmet.com
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Analyst Engineer

Bachelor’s degree in Engineering, Data Analysis, Data Science, Computer Science, or Information Systems; basic SQL; data transformation programming; proficient MS Office; US work authorization; visa not sponsored.

<strong>Position Title:</strong>
Math Research Assistant (Student Position)
 


<strong>Location:</strong>
Big Rapids, MI
 


<strong>Department:</strong>

<p>College of Arts, Sciences, and Education</p>

 


<strong>Advertised Salary:</strong>
$13.73-$13.99
 


<strong>Summary of Position:</strong>
A Student Research Assistant will work under the direct supervision of faculty in the collection, analysis, and evaluation of research data and literature reviews. This can involve library research, data analysis, writing, taking notes and preparing reports or presentations, and summarizing results.
 


<strong>Position Type:</strong>
Student Position
 


<strong>Position Requirements:</strong>
Students must have a good understanding of the subject matter that is to be researched, be able to complete more intensive work assignments, and possess advanced qualifications for the position. This position requires applicants to have completed MATH 220 with a B or better or have tested / placed above MATH 220.
 


<strong>Essential Duties/Responsibilities:</strong>
- Data collection and management<br />- Using database and spreadsheet programs<br />- Decision-making on issues relevant to data collection
 


<strong>Number of Positions Available:</strong>
2
 


<strong>Documents Needed to Apply:</strong>
Resume, Class Schedule
 


<strong>Job Close Date:</strong>
August 1, 2026
 


<strong>EEO Statement:</strong>
Ferris State University, an Affirmative Action/Equal Opportunity employer, is committed to enhancing equity, inclusion, and diversity within its community. Ferris offers employment opportunities to qualified candidates seeking careers in a student-focused environment that values opportunity, collaboration, diversity and educational excellence.  Learn more about the Ferris Mission and community at <a href="http://ferris.edu/">ferris.edu</a>. The University actively seeks applications from women, minorities, individuals with disabilities, veterans, and other underrepresented groups. For more information on the University’s Policy on Non-Discrimination, visit: <a href="https://www.ferris.edu/HTMLS/administration/president/generalcounsel/pdfs-docs/00108985.pdf">Ferris Non-Discrimination Statement</a>.

Math Research Assistant (Student Position)

Math Research Assistant

Student position requiringMath background; must have completed MATH 220 with B or better or placement above.

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