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Python Data Engineer Jobs

Autonomous Solutions

Danaher

Utah State University

Onsite

Bring more to life.Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?At Cytiva, one of Danaher’s 15&#43; operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact.You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.At Cytiva you will be able to continuously improve yourself and us – working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career.Learn about the Danaher Business System which makes everything possible.The Senior Data Analytics Engineer - Cell Culture Media is responsible for enabling real-time data intelligence that improves scientific decision making, customer confidence, and compliance in a cGMP environment.This position reports to the Sr Manager, Data Governance and is part of the Cell Culture Media business unit located in Logan, Utah and will be an on-site role.What you will do:<ul><li>Develop and maintain data sets to train an AI that ingests, processes, and analyzes incoming raw material quality testing results (chemical composition, impurities, COAs, and other analytical data).</li><li>Design structured data models and visualization frameworks to trend material characteristics over time for scientists, quality teams, and manufacturing leadership.</li><li>Collaborate with cross functional stakeholders (Quality, Manufacturing, R&amp;D, Data Governance, Supply Chain) to define data requirements, interpret trends, and communicate insights effectively.</li><li>Integrate system enhancements including machine learning models for predictive behavior, anomaly detection, and proactive quality insights with a DBS mindset focused on continuous improvement.</li></ul><div></div>Essential Requirements<ul><li>Bachelor’s degree (advanced degree preferred) in Data Engineering, Computer Science, Statistics, Bioinformatics, Chemical Engineering, or related technical field.</li></ul><ul><li>3&#43; years’ experience in data engineering/analytics for manufacturing, lab operations, and scientific data environments; proficient in Python, SQL, ETL/pipelines, and modern cloud/on-premises data tools.</li></ul><ul><li>Experienced in statistical analysis, control charts, trending, and anomaly detection; turns complex data into clear, actionable insights for technical and nontechnical stakeholders.</li></ul><div></div>It would be a plus if you also possess previous experience in:<ul><li>Experience with AI/ML tools, model development, or automated quality monitoring systems.</li></ul><ul><li>Knowledge of chemical characterization, analytical chemistry, or formulation related data structures.</li></ul><ul><li>Experience delivering enterprise analytics with Microsoft Power BI, Qlik Sense, and Tableau, complemented by Salesforce CRM Analytics and Snowflake‑backed dashboards (e.g., Cytiva’s Data bridge), to drive actionable insights and adoption.</li></ul>Cytiva, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.The annual salary range for this role is $100,000 - $120,000. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future.This job is also eligible for bonus/incentive pay.We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company&#39;s sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit <a href="http://www.danaher.com/" target="_blank">www.danaher.com</a>. Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available <a href="http://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" target="_blank">here</a>.We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1-202-419-7762 or <a href="mailto:applyassistance&#64;danaher.com" target="_blank">applyassistance&#64;danaher.com</a>.

Senior Data Analytics Engineer - Cell Culture Media

Senior Data Analytics Engineer

Bachelor’s degree in data engineering, computer science, statistics, bioinformatics, chemical engineering; 3+ years data engineering/analytics in manufacturing or lab; proficient in Python, SQL, ETL; ML/AI tools a plus.

This is a project-based employee role supporting the verification, validation, and readiness of our autonomous vehicle platforms. Development phases of this nature typically span through project completion (typically 2-4 years), though scope and duration are driven by business needs.
<hr />
<h1>JOB SUMMARY</h1>
The Test Engineer (Test Planner) is responsible for designing experiments and data collection plans to verify and validate ASI's robotic and autonomous systems across the full system lifecycle, from individual components to fully integrated platforms. This role collaborates with cross-functional engineering teams to develop and execute structured test plans, coordinate manual and automated testing efforts, analyze performance data, ensure requirements traceability and safety compliance, and communicate system readiness, risks, and mitigation strategies; scope, autonomy, and strategic ownership increase progressively by level.
<hr />
<h1>ESSENTIAL DUTIES AND RESPONSIBILITIES</h1>
<ul>
<li>
Collaborate with program managers, systems engineers, software engineers, mechatronics engineers, and industry experts to understand concept of operations (CONOP), customer requirements, and system design intent
</li>
<li>
Design, develop, organize, and execute test plans, test suites, test cases, and data collection plans for hardware, software, and integrated robotic systems
</li>
<li>
Coordinate and support manual and automated testing efforts, including field testing and human-in-the-loop evaluations
</li>
<li>
Define and implement instrumentation strategies and data collection methodologies to measure performance, reliability, durability, and safety metrics
</li>
<li>
Analyze and post-process test data to identify trends, root causes, system limitations, and readiness risks
</li>
<li>
Ensure traceability between requirements, test cases, results, and safety or certification objectives
</li>
<li>
Document procedures, findings, issues, and recommendations; author formal test reports and readiness assessments
</li>
<li>
Support development and maintenance of automated test frameworks using tools such as Python or C++
</li>
<li>
Contribute to test environment development including hardware-in-the-loop (HIL), software-in-the-loop (SIL), and simulation-based validation
</li>
<li>
Work cross-functionally to align development, test, and field deployment activities
</li>
</ul>
<hr />
<h1>LEVEL DIFFERENTIATION</h1>
Level 1 - Test Engineer I
<ul>
<li>
Executes defined test plans and assists in developing test cases and data collection plans
</li>
<li>
Supports subsystem and component-level testing
</li>
<li>
Performs hands-on testing and debugging under guidance
</li>
<li>
Contributes to automation and documentation efforts
</li>
</ul>
Level 2 - Test Engineer II
<ul>
<li>
Independently develops test plans and data collection strategies for subsystems and integrated systems
</li>
<li>
Leads defined validation efforts and coordinates cross-functional testing activities
</li>
<li>
Defines instrumentation and test environment requirements
</li>
<li>
Contributes to improvements in automation frameworks and test processes
</li>
</ul>
Level 3 - Senior Test Engineer
<ul>
<li>
Owns integrated system-level test strategy and execution
</li>
<li>
Leads cross-functional validation campaigns and readiness reviews
</li>
<li>
Standardizes test methodologies, metrics, and reporting processes
</li>
<li>
Mentors junior engineers and influences design decisions through data-driven recommendations
</li>
</ul>
Level 4 - Principal Test Engineer
<ul>
<li>
Defines portfolio-level validation strategy and long-term test architecture
</li>
<li>
Drives certification readiness and functional safety traceability
</li>
<li>
Establishes scalable test infrastructure and data analysis standards
</li>
<li>
Serves as technical authority and advisor on system readiness and risk posture
</li>
</ul>
<hr />
<h1>ESSENTIAL EDUCATION, WORK EXPERIENCE, JOB SKILLS</h1>
<h3>Level 1</h3>
<ul>
<li>
Bachelor's degree in Robotics Engineering, Mechatronics Engineering, Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, or related field
</li>
<li>
0-3 years of experience in verification, validation, systems integration, quality assurance, or related role
</li>
<li>
Understanding of systems engineering principles and development lifecycles
</li>
<li>
Familiarity with Python and/or C++
</li>
<li>
Experience with version control systems (Git, etc.)
</li>
<li>
Familiarity with Jira, JAMA, or similar requirements/test management tools
</li>
<li>
Strong analytical and problem-solving skills
</li>
</ul>
<h3>Level 2</h3>
<ul>
<li>
All Level 1 requirements
</li>
<li>
3-7 years of experience designing test plans, strategies, and data collection plans for complex systems
</li>
<li>
Demonstrated ability to independently lead subsystem or integrated testing efforts
</li>
</ul>
<h3>Level 3</h3>
<ul>
<li>
All Level 2 requirements
</li>
<li>
7-10 years of experience managing system-level validation strategies and test campaigns
</li>
<li>
Demonstrated experience standardizing test processes and leading cross-functional validation efforts
</li>
</ul>
<h3>Level 4</h3>
<ul>
<li>
All Level 3 requirements
</li>
<li>
10+ years of experience defining and managing large-scale or portfolio-level validation strategies
</li>
<li>
Demonstrated expertise in certification readiness, safety traceability, and enterprise-level test infrastructure
</li>
</ul>
<hr />
<h1>PREFERRED QUALIFICATIONS</h1>
<ul>
<li>
Master's degree in Engineering or related discipline
</li>
<li>
Experience with robotics or autonomous systems
</li>
<li>
Familiarity with ROS/ROS2
</li>
<li>
Experience with HIL/SIL systems and simulation tools (e.g., Gazebo)
</li>
<li>
Understanding of embedded systems, microcontrollers, and communication protocols (CAN, I2C, SPI, etc.)
</li>
<li>
Experience working with functional safety standards or regulated environments
</li>
</ul>
<hr />
<h1>BENEFITS</h1>
ASI offers a comprehensive benefits package, including:
<ul>
<li>
401K Retirement Plan
</li>
<li>
PTO and Holiday Pay
</li>
<li>
Medical, Dental, Vision Plan
</li>
<li>
Life Insurance Options
</li>
<li>
Short-term and Long-term Disability
</li>
</ul>
<hr />
<h1>EEO STATEMENT</h1>
At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.
Your employment with ASI will be "at-will," meaning that either you or ASI may terminate your employment at any time for any reason, with or without cause.

Test Engineer/Planner II/III

Test Engineer

Project-based test engineering role requiring experience in verification, validation, and data-driven testing; BS in engineering; strong Python/C++ and test tools.

JOB SUMMARY
We are seeking a highly experienced and motivated Perception Development Manager to lead and grow ASI's perception engineering team within the Platform organization. This role will oversee the development, deployment, and validation of perception systems that enable autonomous vehicle platforms to understand and interact with complex real-world environments.
The Perception Development Manager will guide the development of robust perception pipelines using sensors such as LiDAR, radar, and cameras, supporting applications across industries including agriculture, logistics, landscaping, and construction. These systems enable key capabilities such as obstacle detection, tracking, mapping, localization support, object classification, and situational awareness.
This leader will provide managerial oversight and technical leadership to a growing team of perception engineers while ensuring strong collaboration with platform architecture, embedded software, and autonomy teams. The role requires experience building perception systems for embedded robotic platforms and scalable AI/ML cloud infrastructure, as well as familiarity with both traditional computer vision techniques and modern AI/ML-based perception approaches.
The successful candidate will combine deep technical knowledge in robotic perception with strong engineering leadership, driving the delivery of scalable and reliable perception solutions from development through field deployment while mentoring engineers and fostering a culture of technical excellence.
ESSENTIAL DUTIES AND RESPONSIBILITIES
<ul>
<li>Lead and manage the Perception engineering team, fostering a culture of technical excellence, collaboration, accountability, and continuous improvement.</li>
<li> Provide managerial oversight and technical leadership for perception system development across ASI's autonomous vehicle platforms.</li>
<li> Drive the design, development, and deployment of perception pipelines leveraging LiDAR, radar, and camera sensors.</li>
<li>Collaborating and coordinating work between multiple vehicle teams as well as platform roadmaps</li>
<li> Oversee development of perception capabilities such as obstacle detection, tracking, mapping, localization support, object classification, and situational awareness. </li>
<li> Guide engineers in implementing robust perception algorithms for real-world robotic deployment, balancing performance, reliability, and computational constraints.</li>
<li> Support development and integration of perception systems for embedded robotic platforms.</li>
<li> Collaborate with cloud and data engineering teams to support AI/ML model training, validation, and deployment using scalable cloud infrastructure.</li>
<li> Ensure perception solutions integrate effectively with platform architecture, autonomy, navigation, and embedded systems.</li>
<li> Oversee testing and validation workflows including simulation, data pipelines, and field testing to ensure real-world performance.</li>
<li> Manage team staffing, project schedules, and resource allocation.</li>
<li> Lead the perception team in agile/scrum development cycles, including sprint planning and continuous integration.</li>
<li> Promote strong engineering practices including documentation, code reviews, and modular system design.</li>
<li> Mentor and develop perception engineers while supporting career growth and technical excellence.</li>
<li> Stay current with advancements in robotic perception, computer vision, and AI/ML technologies.</li>
</ul>
 
ESSENTIAL EDUCATION, WORK EXPERIENCE, JOB SKILLS
Required:
<ul>
<li>Bachelor's degree in engineering or computer science (Robotics, Electrical Engineering, Computer Engineering, Computer Science, or related).</li>
<li> 2+ years of engineering management experience, including leading technical teams.</li>
<li> Strong experience developing robotic perception or computer vision systems.</li>
<li> Familiarity with robotic perception and/or computer vision concepts, including traditional computer vision techniques as well as AI/ML techniques.</li>
<li> Experience working with LiDAR, radar, and camera sensor data.</li>
<li> Experience developing perception systems for embedded robotic platforms.</li>
<li> Familiarity with AI/ML model development and deployment pipelines, including cloud-based infrastructure.</li>
<li> Strong programming experience with C++, Python, and related robotics or ML frameworks.</li>
<li> Experience working in or managing teams in agile/scrum environments.</li>
<li> Excellent leadership, communication, and problem-solving skills.</li>
</ul>
 
Preferred:
<ul>
<li>5+ years of professional experience in robotic perception, computer vision, or related autonomy fields.</li>
<li> Experience leading engineering teams developing perception systems for autonomous or robotic platforms.</li>
<li> Experience building computer vision pipelines and AI/ML workflows for perception applications.</li>
<li> Experience working with large-scale perception datasets and model training pipelines.</li>
<li> Proven track record of delivering perception systems from concept through field deployment.</li>
</ul>
 
PHYSICAL REQUIREMENTS
<ul>
<li>Ability to remain in a stationary position for significant portions of the workday including during meetings, presentations, and computer-based tasks.</li>
<li>Ability to maintain professionalism and composure while meeting tight deadlines, during conflict, and while delivering presentations.</li>
<li>Ability to communicate and exchange information clearly and effectively in high-level meetings and discussions.</li>
<li>Capacity to analyze complex data, manage multiple concurrent projects, and make critical decisions in a fast-paced environment.</li>
<li>Ability to frequently travel and work outside of standard business hours as required by operational needs.</li>
</ul>
Benefits
ASI offers a rich benefit package including:
<ul>
<li>401k with employer match</li>
<li>Generous HSA contribution</li>
<li>Employee Stock Ownership Plan</li>
<li>PTO, Paid Holidays, and Flextime</li>
<li>Paying 90% of employee's medical plan</li>
</ul>
EEO Statement
At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.

Perception Development Manager

Bachelor's in engineering or CS; 2+ years engineering management; strong robotic perception/CV experience; LiDAR/radar/camera data proficiency; embedded platforms; AI/ML pipelines; C++, Python; agile/scrum; leadership.

Overview:
The Department of Data Analytics and Information Systems in the Jon M. Huntsman School of Business at Utah State University invites applications for a non-tenure-track nine-month Lecturer, with an anticipated starting date of August 1, 2026. This position is located on the Logan Main Campus.

Responsibilities:
The successful applicant will teach undergraduate and/or graduate courses in modern data engineering, covering scalable data pipelines, cloud-native platforms, distributed systems, and modern data architectures, including lakes, lakehouses, and warehouses. Courses will emphasize data modeling, performance optimization, and building production-ready systems that support decision-making.  The candidate will design and continually refine the curriculum to reflect evolving industry techniques, tools, and platforms. They will also develop innovative, applied learning experiences that integrate real-world datasets, cloud environments, and enterprise-scale architectures. The role also includes a strong emphasis on mentoring students in the Analytics Solutions Center (<a href="https://huntsman.usu.edu/asc/" target="_blank" rel="noopener">https://huntsman.usu.edu/asc/</a>), a center within the Huntsman School of Business that offers rigorous experiential learning opportunities connecting interdisciplinary student teams with real-world problems from partner companies and organizations.  Successful candidates will bring industry experience, a passion for teaching, and a proven track record of excellence in mentoring. They will also demonstrate a commitment to continual learning and staying current with emerging data engineering technologies.

Qualifications:
Minimum qualifications:<ul><li>Master’s degree in Information Systems, Computer Science, Data Engineering, Data Science, Statistics, Engineering, or a closely related field.</li><li>Applied professional experience in data engineering, including designing and building scalable data pipelines, developing cloud-based data platforms (e.g., AWS, Azure, GCP), and/or architecting modern data warehouse or distributed systems environments.</li><li>Proficiency in programming languages such as Python and SQL used in data engineering environments.</li><li>Experience with modern data stack tools (e.g., dbt, Airflow, Snowflake, Databricks, Spark, Terraform).</li><li>Demonstrated potential for excellence in teaching and student mentoring.</li><li>Commitment to hands-on, experiential learning aligned with the Huntsman School mission.</li></ul>Preferred qualifications:<ul><li>Industry experience designing scalable, production-level data systems.</li><li>Experience teaching in a college or university setting.</li><li>Cloud certifications or other professional credentials.</li><li>Experience mentoring students in applied, project-based environments.</li><li>Evidence of curriculum innovation or development of new academic programs or certificates.</li></ul>

Required Documents:
Along with the online application, please attach:1) Resume to be uploaded at the beginning of your application in the Candidate Profile under “Resume/CV”2) Cover letter to be typed/pasted at the end of your application **Document size may not exceed 10 MB.**

Advertised Salary:
Commensurate with experience with excellent benefits

ADA:
Employees work indoors and are protected from weather and/or contaminants, but not, necessarily, occasional temperature changes. The employee is regularly required to sit and often uses repetitive hand motions.

College/Department Highlights:
The Department of Data Analytics and Information Systems (DAIS) provides an outstanding opportunity for students to gain the skills and experience needed in an increasingly data-driven world, and to use information and data technologies to inform strategic decision-making in the private and public sectors. Students in DAIS learn how to problem-solve with advanced database management, programming, and analytics tools, collaborating with faculty who are at the forefront of these fields. Students also have the opportunity to network and apply their learning in real-world settings, through internships, student clubs, and Huntsman School events. The Analytics Solutions Center, within the DAIS department, provides students across USU’s Logan and Statewide campuses with the opportunity to work with corporate partners on large data analytics projects. Participating in the Analytics Solutions Center as a student opens many doors to incredible career opportunities. Recent ASC graduates have found highly competitive full-time jobs for companies including: General Mills, Goldman Sachs, Intermountain Health, Koch Industries, Space Dynamics Lab, and Zions Bank. The mission of the Jon M. Huntsman School of Business is to develop leaders of distinction in commerce and public affairs. Our purpose is to be a career accelerator for our students and an engine of growth for our community, the state, the nation, and the world. With seven undergraduate majors, fifteen minors, six graduate degrees, and a broad portfolio of extra-curricular activities, Huntsman students have a variety of options to develop the knowledge and skills needed for career and personal success and fulfillment. Delivered in a state-of-the-art teaching facility in Logan, and at locations throughout the state of Utah and across the globe, our programs are focused around our four pillars: ethical leadership, entrepreneurial spirit, global vision, and analytical rigor. 

University Highlights:
Founded in 1888, Utah State University is Utah’s premier land-grant, public service university. As an R1 research institution, Utah State is dedicated to advancing knowledge and serving the public good through innovative research and scholarly activities that are grounded in reciprocal engagement with local, regional, and global communities. USU prepares students to be active, civically engaged leaders who are prepared to address critical societal challenges. Dedicated to providing a high-quality and affordable education, USU remains a leader in research, discovery, and public impact. USU enrolls over 29,800 students, both online and in person at <a href="https://statewide.usu.edu/locations/" target="_blank" rel="noopener">locations throughout the state.</a> Utah State’s 30 locations include a main campus in Logan, Utah, residential campuses in Price and Blanding, and six additional statewide campuses, along with education centers serving every county. USU educates students from all 50 states and more than 80 countries. For over 100 years, USU Extension has served and engaged Utahns, serving every county in the state. Competing at the NCAA Division I level, USU is a proud member of the Mountain West Conference and will join the Pac-12 Conference beginning in the 2026-2027 season. <a href="https://utahstateaggies.com/" target="_blank" rel="noopener">The Aggies</a>’ long-standing tradition of athletic and academic excellence is exemplified by recent Mountain West regular-season and tournament championships in women’s volleyball, three consecutive Mountain West tournament titles in women’s soccer conference championships, and a first-ever conference championship for gymnastics, reflecting USU's commitment to perseverance and achievement. Utah State is dedicated to fostering a community where all individuals feel respected, valued, and supported and where diversity of thought and culture are cultivated. We seek to recruit, hire, and retain people from all walks of life who will champion excellence in education, research, discovery, outreach, and service. We believe that promoting a strong sense of community and belonging empowers and engages all members of USU to thrive and be successful. Forbes recognized our commitment to employees when they named <a href="https://www.usu.edu/today/story/usu-named-best-employer-in-utah" target="_blank" rel="noopener">Utah State the best employer in Utah</a> in 2023. <a href="https://www.usu.edu/about/" target="_blank" rel="noopener">Learn more</a> about USU.  The university provides a <a href="https://www.usu.edu/policies/3300/" target="_blank" rel="noopener">Dual Career Assistance Program</a> to support careers for partners who are also seeking employment. Additionally, USU is committed to providing access and a reasonable accommodation for individuals with disabilities. To request a reasonable accommodation for a disability, contact the university’s ADA Coordinator in the Office of Human Resources at (435) 797-0122 or <a href="mailto:hr@usu.edu" target="_blank" rel="noopener">hr@usu.edu</a>.  *updated 12/2025

Notice of Non-discrimination:
In its programs and activities, including in admissions and employment, Utah State University does not discriminate or tolerate discrimination, including harassment, based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity, disability, status as a protected veteran, or any other status protected by University policy, Title IX, or any other federal, state, or local law. Utah State University is an equal opportunity employer and does not discriminate or tolerate discrimination including harassment in employment including in hiring, promotion, transfer, or termination based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity, disability, status as a protected veteran, or any other status protected by University policy or any other federal, state, or local law. Utah State University does not discriminate in its housing offerings and will treat all persons fairly and equally without regard to race, color, religion, sex, familial status, disability, national origin, source of income, sexual orientation, or gender identity. Additionally, the University endeavors to provide reasonable accommodations when necessary and to ensure equal access to qualified persons with disabilities. In all circumstances, Utah State University follows state and federal laws related to sex-segregated spaces.  The following individuals have been designated to handle inquiries regarding the application of Title IX and its implementing regulations and/or USU’s non-discrimination policies: <table style="border-collapse: collapse; border: none;"><tbody><tr><td style="width: 233.75pt; padding: 0in 5.4pt 0in 5.4pt;" width="312">Matthew PinnerExecutive Director Civil Rights & Title IX Office<a href="mailto:matthew.pinner@usu.edu" target="_blank" rel="noopener">matthew.pinner@usu.edu</a>435-797-1266 | Old Main Rm. 401D1475 Old Main Hill, Logan, UT 84322 </td><td style="width: 233.75pt; padding: 0in 5.4pt 0in 5.4pt;" width="312">Cody CarmichaelTitle IX Coordinator <a href="mailto:cody.carmichael@usu.edu" target="_blank" rel="noopener">cody.carmichael@usu.edu</a>435-797-1266 | Old Main Rm. 402D1475 Old Main Hill, Logan, UT 84322 </td></tr></tbody></table>For further information regarding non-discrimination, please visit <a href="https://www.usu.edu/civilrights-titleix/" target="_blank" rel="noopener">crtix.usu.edu</a> or contact:  U.S. Department of Education Denver Regional Office303-844-5695| <a href="mailto:OCR.Denver@ed.gov" target="_blank" rel="noopener">OCR.Denver@ed.gov</a> U.S. Department of Education Office of Assistant Secretary for Civil Rights800-421-3481 |  <a href="mailto:OCR@ed.gov" target="_blank" rel="noopener">OCR@ed.gov</a> *updated 10/2025

Lecturer - Data Engineering

Lecturer

Master’s degree in Information Systems, Computer Science, Data Engineering, Data Science, Statistics, Engineering or related field; experience building data pipelines, cloud platforms, and modern data architectures; proficient in Python and SQL; experience with modern data stack tools; teaching and mentoring potential.

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