Explore 2 python data engineer jobs from 2 hiring companies in Baxter, MN, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Data Engineer

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Python Data Engineer Jobs

Illinois Tool Works

Mid Minnesota Federal Credit Union

Onsite

Position Description

Summary 

The VP of Data Architecture serves as a senior leader responsible for designing, implementing, and advancing a modern, scalable, and compliant enterprise data environment for Mid Minnesota Federal Credit Union. This role blends strategic vision with hands-on technical execution to ensure data is trusted, accessible, secure, and actionable across the organization.

The position establishes the multi-year data architecture roadmap, leads analytics enablement, embeds strong governance and documentation practices, and partners closely with executive leadership, IT, Risk, and business teams to support decision-making, regulatory compliance, operational efficiency, and enhanced member experience.

Fundamental Responsibilities

<ul>
	<li>Maintain the highest standards of Integrity, Personal Responsibility, Sense of Community, and Teamwork by self-example within and outside the credit union.</li>
	<li>Build internal trust and confidence in organizational data through accuracy, transparency, and reliability.</li>
	<li>Partner with leaders and teams to translate business needs into scalable, well-governed data solutions that drive measurable outcomes.</li>
</ul>

Key Responsibilities

Data Strategy & Architecture Leadership

<ul>
	<li>Define and maintain a multi-year enterprise data architecture roadmap aligned with strategic goals.</li>
	<li>Establish a clear target-state architecture for data ingestion, integration, storage, modeling, analytics, and reporting.</li>
	<li>Prioritize initiatives based on business value, regulatory requirements, risk reduction, and operational efficiency.</li>
	<li>Develop and oversee member data strategies to identify growth and engagement opportunities.</li>
	<li>Design and lead a Data Literacy program for management and staff to ensure dashboards and analytics drive actionable, data-informed decisions and a durable data-driven culture.</li>
</ul>

&nbsp;

Hands-On Technical Execution

<ul>
	<li>Architect and maintain data pipelines, integrations, and warehouse environments.</li>
	<li>Design scalable data models supporting analytics, AI/ML, and regulatory reporting.</li>
	<li>Build and manage integrations across core systems and vendors.</li>
	<li>Remain actively involved in coding, testing, and deployment.</li>
</ul>

Analytics, Reporting & Decision Enablement

<ul>
	<li>Advance analytics maturity from descriptive to predictive insights.</li>
	<li>Enable executive, operational, and regulatory reporting with trusted data.</li>
	<li>Support governed self-service BI capabilities.</li>
	<li>Ensure analytics answer real operational and strategic questions.</li>
</ul>

Governance, Compliance & Risk Management

<ul>
	<li>Establish enterprise data governance standards.</li>
	<li>Ensure compliance with NCUA, FFIEC, BSA, and audit expectations.</li>
	<li>Partner with Risk, Compliance, Audit, and IT Security teams.</li>
	<li>Support BSA/AML and other regulatory reporting with auditable data.</li>
	<li>Define governance components including data ownership and stewardship, data quality controls, metadata management, data lineage, retention policies, access controls, and monitoring and validation of reporting outputs.</li>
</ul>

&nbsp;

Technical Documentation & Standards

<ul>
	<li>Maintain architecture diagrams and data dictionaries.</li>
	<li>Document ETL/ELT workflows, integrations, and runbooks.</li>
	<li>Ensure documentation supports audit readiness and onboarding.</li>
	<li>Maintain standardized artifacts including API and integration specifications, operational support documentation, and user guides.</li>
</ul>

&nbsp;

Team Leadership & Culture Building

<ul>
	<li>Mentor and develop data engineering and analytics staff.</li>
	<li>Build a data-driven, documentation-driven culture.</li>
	<li>Establish standards, expectations, and career pathways.</li>
	<li>Manage data partner and vendor relationships.</li>
	<li>Function as a trusted cross-functional partner to executive leadership, line-of-business leaders, IT, Risk, and Operations, translating technical concepts into business terms and influencing prioritization and investment decisions</li>
</ul>

Job Type: Full-time Exempt 
Pay: $124,000 - $186,000 
Expected hours: 40 per week

Mid Minnesota Federal Credit Union (MMFCU) has provided a salary range that represents its good faith estimate of what the company may pay for the position at the time of posting. The specific salary offered will be determined based on factors such as the qualifications of the selected candidate, departmental budget, internal salary equity considerations, and available market information.

Benefits:

<ol>
	<li>Medical</li>
	<li>Dental</li>
	<li>Vision</li>
	<li>Employer paid Life insurance</li>
	<li>401(k) Savings Plan</li>
	<li>Bonus/Incentive Program</li>
	<li>Vacation Time</li>
	<li>Earned Sick and Safe Time (aka Sick Time)</li>
	<li>Health and Wellness Program</li>
</ol>

Equal Opportunity Employer

&nbsp;

Vice President Data Architecture  (MN, Baxter)

Vice President Data Architecture

Leads data architecture and governance, designs scalable data environments, partners with leadership, and oversees hands-on data engineering, analytics, and regulatory reporting.

Job Description:Role OverviewWe are seeking a highly motivated R&amp;D Engineer to develop next-generation reconstruction and analysis algorithms for advanced X-ray CT imaging systems.This role sits at the intersection of:<ul><li>Computational imaging</li><li>Machine learning</li><li>Physics-based modeling</li><li>High-performance computing</li></ul>You will design, implement, and validate production-ready reconstruction pipelines that improve image quality, speed, robustness, and automation. This position combines hands-on algorithm development, experimental validation, and cross-functional collaboration to translate research concepts into real-world, deployable solutions.What You’ll Do<ul><li>Develop and optimize advanced reconstruction algorithms for X-ray CT and related imaging modalities</li><li>Design physics-based and data-driven reconstruction pipelines</li><li>Implement machine learning and deep learning approaches for reconstruction, artifact reduction, and image enhancement</li><li>Solve inverse problems using advanced numerical optimization techniques</li><li>Build high-performance implementations using GPU acceleration (CUDA) and parallel computing methods</li><li>Process and analyze large-scale 3D volumetric datasets</li><li>Prototype new algorithmic concepts and transition them into production software</li><li>Design and execute simulation and experimental validation studies</li><li>Collaborate closely with hardware, applications, and software engineering teams</li><li>Document algorithms, validation results, and software modules clearly and thoroughly</li><li>Contribute to technical publications, patents, white papers, or internal innovation initiatives</li><li>Present technical findings internally and externally, including at conferences when appropriate</li></ul>What You Bring:<ul><li>Master’s degree and/or relevant work experience in technical field:<ul><li>Computer Science</li><li>Electrical Engineering</li><li>Applied Mathematics</li><li>Imaging Science</li><li>Computational Physics</li></ul></li><li>Experience with modern ML frameworks (e.g., PyTorch, TensorFlow)</li><li>Experience processing and analyzing 3D or volumetric datasets</li><li>Strong understanding of:<ul><li>Inverse problems</li><li>Numerical optimization</li><li>Signal and/or image processing</li></ul></li><li>Experience with GPU programming and CUDA</li><li>Proficiency in Python and/or C&#43;&#43;</li><li>Strong analytical thinking and experimental validation skills</li></ul>Helpful (But Not Required):We recognize that strong candidates may not meet every listed qualification. Additional experience that may be beneficial includes:<ul><li>Experience with tomographic reconstruction methods (e.g., FBP, iterative reconstruction)</li><li>Background in computational physics or imaging system modeling</li><li>Experience transitioning research code into production environments</li><li>Publication or patent experience</li><li>Familiarity with high-performance computing environments</li></ul>Why Join NSI:<ul><li>Work on cutting-edge CT technology used across high-impact industries</li><li>See your algorithms move from research to real-world industrial systems</li><li>Collaborate with multidisciplinary experts across hardware, software, and applications</li><li>Contribute to innovation in nondestructive testing and advanced imaging</li></ul>At North Star Imaging, we are committed to building a team that reflects a wide range of experiences, backgrounds, and perspectives. If you’re excited about this role but your experience doesn’t align perfectly with every qualification, we still encourage you to apply.At North Star Imaging (an ITW Company), we believe our people are our greatest strength which is why we offer a highly competitive and comprehensive benefits package designed to support you and your family. Our offerings include medical, dental, and vision coverage; a 401(k) with company match; generous paid time off and holiday plans; short- and long-term disability coverage; paid parental leave; tuition reimbursement and education assistance programs; and additional resources that support financial wellness, career growth, and overall well-being. We are committed to investing in our employees both personally and professionally.Compensation Information:Compensation for this position ranges from $85,000 - $110,000, based on education and experience.ITW is an equal opportunity employer. We value our colleagues’ unique perspectives, experiences and ideas and create workplaces where everyone can develop their careers and perform to their full potential.  As an equal employment opportunity employer, ITW is committed to equal employment opportunity and fair treatment for employees, beginning with the hiring process and continuing through all aspects of the employment relationship.  All qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, national origin, age, disability, protected Veteran status or any other characteristic protected by applicable federal, state, or local laws.

R&D Engineer

Master’s degree or relevant work experience; experience with ML frameworks, 3D data processing, inverse problems, CUDA, Python/C++, and validation.

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