Explore 5 python data engineer jobs from 4 hiring companies in Walnut Grove, MS, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Data Engineer Jobs

Marion Counseling Services

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Rebellion Defense

Onsite

Remote

Job Title: Data Engineer Co-op   Location: Meridian, MS   Duration: One term Co-op starting in July 2026  Department: Engineering / Operations  Reports To: Nicki Vaughn, Plant Manager 
 
We are seeking a skilled Data Engineer Intern for our Meridian, MS, Web Technologies plant with strong experience in machine learning frameworks, industrial automation, and database technologies. This role will focus on designing, building, and maintaining data pipelines, machine learning solutions, and automation scripts that support analytics, operational efficiency, and system integration—particularly within industrial or manufacturing environments. 
 Data Engineer Co-op Key Responsibilities 
<ul>
<li>Design, develop, and deploy machine learning models to support predictive analytics, classification, and regression use cases. </li>
<li>Build and maintain data pipelines that integrate machine learning outputs into operational systems.</li>
<li>Develop and maintain Ignition (Inductive Automation) scripts to automate workflows, trigger actions, and integrate data across systems. </li>
<li>Work with Ignition modules such as Vision, Perspective, and SQL Bridge to support SCADA and industrial automation solutions. </li>
<li>Write, optimize, and maintain complex SQL queries, stored procedures, views, and triggers in MS SQL and Oracle databases. </li>
<li>Collaborate with cross-functional teams (engineering, operations, IT) to integrate data and automation solutions into existing infrastructure. </li>
<li>Ensure data quality, performance, and reliability across databases and analytics platforms. </li>
</ul>
Data Engineer Co-op Required Skills &amp; Qualifications 
<ul>
<li>Second-semester freshman standing or higher </li>
<li>2 GPA or higher </li>
</ul>
           Machine Learning &amp; Analytics 
<ul>
<li>Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.</li>
<li>Strong understanding of model training, evaluation, and optimization techniques (e.g., cross-validation, hyperparameter tuning).</li>
<li>Ability to deploy machine learning models into production environments.</li>
</ul>
Automation &amp; Ignition 
<ul>
<li>Hands-on experience with Ignition (Inductive Automation), including scripting and automation.</li>
<li>Proficiency in Ignition scripting using Python (Jython). </li>
<li>Experience in integrating Ignition with databases and external systems.</li>
</ul>
      Programming &amp; Databases 
<ul>
<li>Strong proficiency in Python for data processing, automation, and machine learning.</li>
<li>Experience using R for statistical analysis and data visualization.</li>
<li>Advanced SQL skills with MS SQL and Oracle SQL. </li>
<li>Solid understanding of relational database design, data modeling, and performance tuning.</li>
</ul>
 Data Engineer Co-op Preferred Qualifications 
<ul>
<li>Experience in industrial, manufacturing, or automation-focused environments. </li>
<li>Familiarity with SCADA systems and operational technology (OT) data.</li>
<li>Experience integrating analytics or machine learning solutions into real-time systems. </li>
</ul>
 What We Offer 
<ul>
<li>Opportunity to work on data-driven automation and machine learning solutions.</li>
<li>Collaborative, cross-functional work environment </li>
<li>Exposure to cutting-edge industrial analytics and automation technologies </li>
</ul>
Atlas Total Compensation 
<ul>
<li>Hourly Wages </li>
<li>Second Semester Freshman: $18-19/hr. </li>
<li>Sophomore: $19-21/hr. </li>
<li>Jr: $20-23/hr. </li>
<li>Senior: $21-25/hr. </li>
<li>Housing Assistance Provided </li>
</ul>
Resume Submittal 
<ul>
<li>Interested?  To submit your resume, scan below.   </li>
</ul>
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Data Engineer Co-op

Data Engineer

Pursuing a degree; strong Python and SQL; ML frameworks experience; Ignition/industrial automation knowledge; 2.0 GPA; sophomore or higher.

Date Posted:2026-03-13Country:United States of AmericaLocation:US-AZ-TUCSON-801 ~ 1151 E Hermans Rd ~ BLDG 801 (External Site)Position Role Type:OnsiteU.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearanceSecurity Clearance Type: DoD Clearance: SecretSecurity Clearance Status: Active and existing security clearance required after day 1At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.Raytheon Industry 4.0 - Smart Digital Factory and Automation (SDF&amp;A) has an immediate career-growth opportunity for a highly motivated and innovative Principal Digital Factory Engineer. As a Digital Factory developer, you will play a key role in designing, integrating, testing, and deploying advanced IIoT/Industry 4.0 technologies developed in Ignition. This role also involves performing root cause corrective action (RCCA) for hardware and software issues, supporting data analytics, and creating visualization solutions. You will collaborate closely with digital factory engineers, chief architects, and leadership, contributing to all stages of the product lifecycle – from planning to deployment and sustainment.Learn more about our Advanced Manufacturing innovations: Raytheon Innovators – Advanced ManufacturingWhat You Will Do<ul><li>Lead projects focused on Ignition application development and deployment.</li><li>Advance IIoT initiatives by working with sensors, gateways, connectivity solutions, APIs, and data analytics platforms.</li><li>Recommend and implement methods to connect manufacturing equipment to IIoT/OT layer networks.</li><li>Configure communication protocols and network devices (e.g., EIP, Modbus/TCP, MQTT).</li><li>Collaborate on major team projects and independently solve complex SDF&amp;A Engineering Systems problems.</li><li>Analyze large, complex data sets to support digital thread implementation and develop analytics reports and visualization on tools</li><li>Travel up to 10% of the time</li></ul>What You Will Learn<ul><li>Gain technical leadership experience and mentorship opportunities while working with influential leaders across Raytheon.</li><li>Collaborate with I4.0 subject matter experts, digital technologies specialists, customers, and cross-functional teams.</li><li>Manage system integration projects and provide reliable data to enable informed customer decisions.</li></ul>Qualifications You Must Have<ul><li>Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience unless prohibited by local laws/regulations.</li><li>The ability to obtain and maintain a U.S. government issued Secret security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance</li><li>Experience with Ignition SCADA development with tools such as SQL, Python, C#/.NET, HTML5, and JSON.</li><li>Experience with Azure DevOps or similar Agile Project Management tools.</li><li>Demonstrated experience scripting, dashboarding, and developing APIs/web applications, with a minimum of 3 years of hands-on project work in these areas.</li><li>Proven experience applying Industry 4.0 concepts (e.g., IIoT, AI, machine learning, systems integration, ISA-95, or Pub/Sub) in projects such as predictive maintenance, real-time data collection, or manufacturing process optimization.</li><li>Practical experience with industrial communication protocols (e.g., Modbus/TCP, MQTT, EIP, SECS/GEM) in automated assembly lines, semiconductor manufacturing, or similar environments.</li><li>Experience with data analytics, including processing and visualizing data from multiple sources (e.g., sensors, ERP, MES) to drive operational improvements.</li></ul>Qualifications We Prefer<ul><li>Strong communication, collaboration, and project management skills demonstrated through leading cross-functional teams on multiple projects/products, ensuring on-time delivery, meeting project milestones, and aligning with organizational objectives.</li><li>Ignition Gold Certification or willingness to achieve it within the first year.</li><li>Experience with tools like Splunk!, Power BI, GraphQL, Tableau, SQL Server, SAP, and automation platforms (e.g., Windows Task Scheduler, SQL Server SSIS).</li><li>Knowledge of big data, data mining, and distributed controls.</li><li>Familiarity with cyber security, IT infrastructure integration, and manufacturing environments, including MES (Manufacturing Execution Systems).</li><li>Understanding of automation systems (e.g., robots, vision systems, PLCs) deployment and integration.</li></ul>What We Offer<ul><li>A values-driven culture based on Trust, Respect, Accountability, Collaboration, and Innovation, with a vision of creating a safer, more connected world.</li><li>Opportunity to work on cutting-edge technologies in aerospace and defense, including Industry 4.0, IIoT, SCADA systems, and advanced manufacturing.</li><li>Collaboration with a highly skilled and innovative team of professionals.</li><li>Hands-on experience with transformative projects that enhance national security and global connectivity.</li><li>Access to professional development and career growth opportunities.</li><li>Competitive compensation and comprehensive benefits package.</li><li>A mission-driven culture focused on innovation, security, and collaboration.</li><li>Exposure to advanced data analytics, machine learning, and digital transformation initiatives.</li><li>Contribution to projects with real-world impact in a global organization with over 100 years of expertise</li><li>This position is NOT relocation eligible</li><li>This position can be located in Tucson , AZ; Forest MS; Andover, MA or McKinney , TX </li></ul>As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act. Privacy Policy and Terms:Click on this <a target="_blank" href="http://www.rtx.com/privacy/Job-Applicant-Privacy-Notice">link</a> to read the Policy and Terms

Principal Digital Factory Engineer  IV

Principal Digital Factory Engineer

Senior-level engineer with 8+ years in industrial IT/IIoT, strong Ignition/SCADA, data analytics, and security clearance requirement.

<div><h3>Overview</h3>Join our team at Marion Counseling Services (MCS) as a key contributor in leveraging data to drive insights and support decision-making processes. This opportunity is ideal for individuals who are passionate about data analysis and its application in improving service delivery.<h3>Key Responsibilities</h3><ul><li>Design, develop, and maintain business intelligence solutions to meet organisational needs.</li><li>Collaborate with stakeholders to understand data requirements and transform them into actionable insights.</li><li>Utilise analytical tools and techniques to analyse complex datasets and provide recommendations.</li><li>Prepare comprehensive reports and dashboards that visually represent data trends and metrics.</li><li>Ensure data integrity and accuracy by implementing data quality checks and validation processes.</li></ul><h3>Requirements</h3><ul><li>Proven experience as a Business Intelligence Developer or similar role.</li><li>Strong proficiency in SQL and experience with ETL processes.</li><li>Familiarity with data visualisation tools such as Tableau, Power BI, or similar.</li><li>Excellent analytical and problem-solving skills.</li><li>Ability to communicate complex data findings in a clear and concise manner.</li></ul><h3>Nice to have</h3><ul><li>Experience in the healthcare sector or with counselling services.</li><li>Knowledge of programming languages such as Python or R.</li><li>Familiarity with cloud platforms like AWS or Azure.</li></ul></div>

Business Intelligence Developer

BI developer experience; SQL and ETL; data visualization tools; strong analytical skills.

Proven BI Developer experience; SQL; ETL; data visualization tools; strong analytical skills.

<div><h3>Overview</h3>We are seeking a talented individual to join our team as an engineer focused on artificial intelligence. This position offers the flexibility of remote work, allowing you to contribute to innovative projects from anywhere.<h3>Key Responsibilities</h3><ul><li>Develop and implement AI models and algorithms to solve complex problems.</li><li>Collaborate with cross-functional teams to integrate AI solutions into existing systems.</li><li>Conduct data analysis and optimise machine learning processes.</li><li>Stay updated on the latest AI trends and technologies to enhance our development efforts.</li><li>Document processes and present findings to stakeholders.</li></ul><h3>Requirements</h3><ul><li>Bachelor's degree in Computer Science, Engineering, or a related field.</li><li>Proven experience in artificial intelligence and machine learning.</li><li>Proficiency in programming languages such as Python or Java.</li><li>Strong understanding of data structures and algorithms.</li><li>Ability to work independently and as part of a team.</li></ul><h3>Nice to have</h3><ul><li>Experience with deep learning frameworks like TensorFlow or PyTorch.</li><li>Familiarity with cloud services such as AWS or Azure.</li><li>Knowledge of natural language processing (NLP) techniques.</li></ul></div>

REMOTE Artificial Intelligence Engineer

Artificial Intelligence Engineer

Bachelor's in CS or Engineering; AI/ML experience; Python or Java; strong data structures/algorithms; able to work independently and in a team.

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