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Allegion

Colorado School of Mines

Onsite

<h2>Creating Peace of Mind by Pioneering Safety and Security</h2>At Allegion, we help keep the people you know and love safe and secure where they live, work and visit. With more than 30 brands, 12,000&#43; employees globally and products sold in 130 countries, we specialize in security around the doorway and beyond. Additionally, in 2024 we were awarded the Gallup Exceptional Workplace Award, which recognizes the most engaged workplace cultures in the world. Role SummaryAs a Lead Platform Data Engineer, you will own the data architecture that connects product applications across the full customer lifecycle - from specification and ordering through device provisioning, installation, and ongoing usage. This is a technical leadership role that bridges platform engineering and data engineering: you&#39;ll define the entity relationships, data contracts, and semantic models that allow disparate systems to share a common language, while mentoring engineers and driving adoption of data standards across teams.You&#39;ll operate with significant autonomy on ambiguous, cross-functional problems - working across organizational boundaries to align teams on shared identifiers, event schemas, and integration patterns. The role requires both architectural vision and the ability to influence stakeholders who don&#39;t report to you.Qualified candidates must be legally authorized to be employed in the United States. The company does not intend to provide sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this employment position.What You Will Do: Data Architecture &amp; Strategy<ul><li>Foundation Building: Establish and document the organization’s first comprehensive data topology and inventory, transforming undocumented legacy flows into a structured, scalable platform blueprint.</li><li>Unified Modeling: Architect cross-application data models and Data Contracts (OpenAPI/AsyncAPI) to standardize identity layers and ensure consistency across the product lifecycle.</li><li>AI-Ready Infrastructure: Design high-performance data flows and transformation layers that surface usage analytics and recurring revenue signals to drive AI-powered insight generation.</li></ul>Platform Engineering &amp; Integration<ul><li>System Interoperability: Lead the integration of platform service layers with mobile/web applications to streamline device commissioning and cross-functional data access.</li><li>Modern Orchestration: Replace ad-hoc processes with robust workflow orchestration (e.g., Airflow, dbt) and CI/CD pipelines to ensure 99.9% data reliability and &#34;Data-as-Code&#34; standards.</li><li>Strategic Planning: Drive the technical proposal process, conducting cost-benefit analyses for new systems to balance immediate delivery with long-term platform health.</li></ul>Governance &amp; Engineering Excellence<ul><li>Observability &amp; Trust: Implement automated data quality monitoring, lineage tracking, and observability practices to ensure high-fidelity data for downstream analytics and compliance.</li><li>Security &amp; Privacy: Engineer data lifecycle policies that strictly adhere to global privacy regulations (GDPR/CCPA) and enterprise security standards.</li><li>Technical Mentorship: Establish and enforce rigorous coding standards and peer review processes, mentoring the team to transition from &#34;plumbing&#34; to modern DataOps practices.</li></ul>Technical Skills <ul><li>Expert Data Modeling: Proficiency in designing relational, NoSQL, and Lakehouse architectures (e.g., Snowflake, Databricks, or BigQuery). Mastery of SQL is non-negotiable.</li><li>Modern Languages: Advanced Python and/or Go/Java for building scalable data applications and custom integrations.</li><li>Orchestration &amp; Transformation: Expert-level experience with dbt and related tools to build repeatable, documented workflows.</li><li>Cloud Infrastructure: Hands-on experience with Infrastructure as Code. (Terraform/CloudFormation) and core cloud services (AWS/Azure/GCP).</li><li>Governance &amp; Quality: Experience implementing Data Contracts, schema registries, and observability tools. </li></ul>What You Need to Succeed:  <ul><li>Bachelor’s Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field. Master’s Degree in a technical field preferred.</li><li>7&#43; Years in Data Engineering: With at least 2&#43; years in a Lead or Staff capacity, specifically owning the technical roadmap.</li><li>&#34;Ground-to-Cloud&#34; Experience: A proven track record of entering environments with high technical debt/minimal documentation and successfully implementing a formal data strategy and topology.</li><li>Stakeholder Management: Experience working directly with Product and Executive teams to translate business questions into technical data requirements.</li><li>AI/ML Integration: Previous experience building feature stores or pipelines specifically designed to feed AI/ML models or LLMs.</li></ul>Why Work for Us?   Allegion is a Great Place to Grow your Career if:   <ul><li>You&#39;re seeking a rewarding opportunity that allows you to truly help others.  With thousands of employees and customers around the world, there’s plenty of room to make an impact. As our values state, “this is your business, run with it”.  </li><li>You’re looking for a company that will invest in your professional development.  As we grow, we want you to grow with us.   </li><li>You want a culture that promotes work-life balance.  Our employees enjoy generous paid time off, because at Allegion we recognize that you have a full life outside of work!    </li><li>You want to work for an award-winning company that invests in its people. Allegion is proud to be a recipient of the Gallup Exceptional Workplace Award for the second year in a row, recognizing our commitment to employee engagement, strengths-based development, and unlocking human potential.  </li></ul>  What You’ll Get from Us:   <ul><li>Health, dental and vision insurance coverage, helping you “be safe, be healthy”.   </li><li>A commitment to your future with a 401K plan, offering a 6% company match and no vesting period   </li><li>Tuition Reimbursement    </li><li>Unlimited PTO  </li><li>Employee Discounts through Perks at Work   </li><li>Community involvement and opportunities to give back so you can “serve others, not yourself”  </li><li>Opportunities to leverage your unique strengths through CliftonStrengths testing and coaching   </li></ul>Compensation: This range is provided by Allegion. Your actual pay will be based on your skills and experience.  <ul><li>The expected Base Salary Range: $131,400 - $205,000.  The actual compensation will be determined based on experience and other factors permitted by law. </li><li>Bonus Eligible: Yes</li></ul>Apply Today!  Join our team of experts today and help us make tomorrow’s world a safer place!   Not sure if your experience perfectly aligns with the role? Studies have shown that some people are less likely to apply to jobs unless they meet every single qualification and every single preferred qualification of a job posting. At Allegion, we are dedicated to building a diverse, inclusive, and authentic workplace. So, if you’re excited about this role but your past experience doesn’t align perfectly with every item in the job description, we encourage you to apply anyway. You may be just the right candidate for this role.  Golden CO 500 Golden Ridge<h2>We Celebrate Who We Are! </h2>Allegion is committed to building and maintaining a diverse and inclusive workplace.  Together, we embrace all differences and similarities among colleagues, as well as the differences and similarities within the relationships that we foster with customers, suppliers and the communities where we live and work. Whatever your background, experience, race, color, national origin, religion, age, gender, gender identity, disability status, sexual orientation, protected veteran status, or any other characteristic protected by law, we will make sure that you have every opportunity to impress us in your application and the opportunity to give your best at work, not because we’re required to, but because it’s the right thing to do.   We are also committed to providing accommodations for persons with disabilities. If for any reason you cannot apply through our career site and require an accommodation or assistance, please <a target="_blank" href="mailto:Careers&#64;Allegion.com">contact our Talent Acquisition Team</a>.© Allegion plc, 2023 | Block D, Iveagh Court, Harcourt Road, Dublin 2, Co. Dublin, IrelandREGISTERED IN IRELAND WITH LIMITED LIABILITY REGISTERED NUMBER 527370Allegion is an <a target="_blank" href="https://www.allegion.com/corp/en/careers/equal-opportunity.html">equal opportunity and affirmative action employer</a><a target="_blank" href="https://www.allegion.com/corp/en/footer/privacy-statement.html">Privacy Policy</a>

Lead Platform Data Engineer

Seven-plus years in data engineering with at least two years in a lead or staff capacity; strong data modeling, SQL, Python/Go/Java, dbt, and cloud data platforms.

Engineering a world of possibilities Postdoctoral Scholar - Mines NIST PREP Lead Data Infrastructure Engineer The Opportunity:Colorado School of Mines and the Statistical Engineering Division at the National Institute of Standards and Technology are seeking immediate applications for a post-doctoral position focusing on leading the development of scientific computing applications and tools. The tools will include both public-facing web infrastructure and code bases used by bench scientists for data collection and analysis. A primary focus will be establishing a central, high-resolution data repository for international clock and frequency standard measurements, providing essential data and collaborative infrastructure for the upcoming redefinition of the second.The Professional Research Experience Program (PREP) is a cooperative partnership between the National Institute of Standards and Technology (NIST) and Colorado School of Mines (Mines). Through PREP, Mines undergraduate and graduate students—as well as researchers holding a Bachelor’s, Master’s, or PhD—have the opportunity to conduct cutting-edge research in NIST laboratories while working closely with both NIST scientists and a Mines faculty advisor. This dual mentorship ensures participants gain not only hands-on technical expertise but also guidance in connecting their NIST research to Mines’ academic and professional pathways. All hires made through the NIST PREP program at Mines are employed by Colorado School of Mines.Research Title:Postdoctoral Scholar / PREP0004023 / Lead Data Infrastructure Software Engineer  Research Location:In Boulder, CO at the NIST campus with the Applied and Computational Statistics Group in the Information Technology Lab and in Golden, CO on the campus of Colorado School of MinesThe candidate’s primary responsibilities may include:●     Leading the development of scientific computing applications and tools by partnering with domain experts, understanding the fundamental physics and meaning of the data, understanding stakeholder goals, and translating those goals into actionable software development plans and requirements.●     Guiding the creation and deployment of a data repository to store, maintain, and share results of interlaboratory measurements and analyses●     Guiding and performing the data curation and data engineering work to transform raw data into machine actionable datasets as guided by the FAIR data principles●     Managing and consolidating data streams originating from atomic clocks and the associated network components including, e.g., optical fiber links and optical frequency combs.●     Developing methodology for collating complex datasets involving multimodal data or heterogeneous processing pathways●     Guiding and extracting information from the curated data using statistical techniques and/or AI approachesThe ideal candidate will have the following skills, experience, and/or qualifications:●     Doctoral degree in at least one of the following fields: computer science, systems engineering, statistics, physics, or a closely-related discipline●     Proven leadership in cross-disciplinary environments; able to guide collaborative teams and provide strong scientific communication.●     Experience in scientific computing, workflow development and data management.●     Applied machine learning / data science.●     Reproducible research and production/dissemination of archival datasets.●     Enthusiasm for learning about diverse measurement science techniques.●     US Citizen Preferred.NIST sponsor / advisor: Amanda Koepke,  Mathematical StatisticianMines sponsor / advisor: Gabe Fierro, Associate Professor of Computer ScienceAnticipated start: May 2026Total Rewards:$71,000 annual salary rate  Mines takes into consideration a combination of candidate’s education, training and experience as well as the position’s scope and complexity, the discretion and latitude required in the role, work location, and external market and internal value when determining a salary level for potential new employees.  Colorado School of Mines offers a robust portfolio of benefits for all employees. For this role, that includes:<ul><li>Flexible health and dental care options (receive at a minimum with EE only coverage, $10,308 in medical benefits until July 1, 2026)</li><li>Generous sick/vacation time: 13 paid holidays per year – including a week-long winter break for entire campus.</li><li>Fully vested retirement plan on first day of employment, with generous employer contribution (you will receive 12% from Mines in a MDCP averaging $8,640 a year)</li><li>Tuition benefits (6 credits per year for employees, 50 percent discount for dependents)</li><li>Free RTD Ecopass for regional bus and light rail transportation</li></ul>All Mines employees also have access to <a href="https://stateofcolorado.benefithub.com/app/home" target="_blank">discount programs</a> through the State of Colorado and free tickets for Mines <a href="https://minesathletics.com/" target="_blank">Athletics</a> home games, as well as access to the state of the art <a href="https://minesathletics.com/facilities/student-recreation-center/13" target="_blank">Recreation Center</a> (fitness classes and training, swimming pool and more) and equipment rentals through the <a href="https://minesathletics.com/sports/2016/7/10/outdoor-recreation-home.aspx" target="_blank">Outdoor Rec Center</a>. We are proud to have recently opened an on <a href="https://www.mines.edu/human-resources/employee-total-rewards/benefits/faculty-staff-benefits/more-for-you-aa/mines-early-childhood-center/" target="_blank">campus daycare center</a>. For more details about benefits at Mines, visit <a href="https://www.mines.edu/human-resources/benefits/" target="_blank">mines.edu/human-resources/benefits</a>.How to Apply: Review of applications will begin on April 1st and continue until filled. Applicants must complete an online application (personal information, demographic information, veteran status) and upload the following:<ul><li>CV including publication list </li><li>Letter of interest with description of qualifications</li><li>Contact information for three references </li></ul>Applicants will notice on the application form, there is only one location to upload all required materials. Further, once submitted, the applicant will not be able to edit their application. Applicants may submit their application as one combined document or as separate documents. Successful completion of a background investigation is required for this position. This posting may be used to fill multiple openings. Contact Kathleen Feighny in HR with any questions at kfeighny&#64;mines.edu. We appreciate your interest in Mines! Keywords:Python, DevOps, Docker, Kubernetes, Linux, Bash, Amazon Web Services, JSON, XML, HTML, JavaScript, CSS    Additional Information and Reasonable Accommodation Requests It is the intent of Mines to comply with the applicable requirements of the Americans with Disabilities Act and the Americans with Disabilities Act Amendments Act of 2008, and their implementation rules and regulations, in support of equal opportunities for qualified applicants with disabilities. To meet this goal, Mines will make reasonable accommodations during the employment selection process and within our working environment.If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on our site as a result of your disability. You can request a reasonable accommodation by contacting our Human Resources team at hr&#64;mines.edu or 303.273.3250 for assistance. Successful completion of a background investigation is required for this position. Equal OpportunityColorado School of Mines is committed to equal opportunity for all persons. Mines does not discriminate on the basis of age, sex, gender (including gender identity and gender expression), ancestry, creed, marital status, race, ethnicity, religion, national origin, disability, sexual orientation, genetic information, veteran status or current military service. Further, Mines does not retaliate against community members for filing complaints regarding or implicating any of these protected statuses. Mines’ commitment to nondiscrimination, equal opportunity and equal access is reflected in the administration of its policies, procedures, programs and activities and in its efforts to achieve a talented student body and workforce. Through its policies, procedures and resources, Mines complies with federal law, Colorado state law, administrative regulations, executive orders and other legal requirements to prevent discrimination (including harassment or retaliation) within the Mines campus community and to address potential allegations of inequality or concerns for safety.Colorado&#39;s premier engineering and applied science university for 150 years and counting

Postdoctoral Scholar - Mines NIST PREP Lead Data Infrastructure Engineer

Postdoctoral Scholar

Doctoral degree in CS, statistics, physics, or related field; proven cross-disciplinary leadership; experience in scientific computing, data management, and ML; US citizen preferred.

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