Sr Logistics Data Engineer

Sr Logistics Data Engineer Location Hybrid remote in Davidson, NC : At Trane TechnologiesTM and through our businesses including Trane® and Thermo King®, we create innovative climate solutions for buildings, homes, and transportation that challenge what's possible for a sustainable world. We're a team that dares to look at the world's challenges and see impactful possibilities. We believe in a better future when we uplift others and enable our people to thrive at work and at home. We boldly go.

Job Summary

The Data Engineer will be responsible for developing a data ecosystem to incorporate supply chain related data into a unified and integrated data model. This model will serve as a foundation to all analytical efforts within the company's Supply Chain function, enabling them to make higher quality decisions faster and with a higher degree of confidence. This position will be seen as vital to the execution of our vision and design of the data model from processes that ingest and process incoming data, enhance data products with analytical insights, and enforce standards and quality measurements to ensure that everything is working properly.

Work Arrangement: Hybrid work schedule (3 or more days onsite a week) and will be based out of our Davidson, NC location.

Responsibilities

• Developing large-scale data pipelines to ingest, move, transform, and integrate data to help generate insights and meet reporting needs
• Design and build the end-to-end solution to move data from various sources into a unified cloud-based data hub
• Liberate inaccessible data by partnering with process owners to capture and integrate information currently stored in closed-loop systems
• Document requirements and translate into system design specifications
• Educate functional analysts on proper methods of extracting and using data
• Execute and coordinate requirements management and change management processes
• Documentation of each of the created data products

Qualifications

• Bachelors degree
• 3-5 years of experience
• Understanding of database design principles
• Experience writing SQL is required
• Hands-on experience using Google BigQuery and Data Fusion a plus
• Highly self‐motivated, self‐directed, and attentive to detail
• Ability to effectively prioritize and execute tasks.
• Strong project management and communication skills
• Prior experience with ERPs or TMS software is preferred
• Supply chain knowledge preferred
• Optimize database run times
• Support existing data pipelines
• Monitor and troubleshoot data pipeline issues

Key Competencies and Success Factors

• Project Management: Partners and collaborates with cross-functional leaders to align objectives, set project KPIs, identify gaps and solutions and oversee overall project implementation.
• Problem Solving: Identifies/anticipates potential problems, performs root cause analysis, evaluates robustness of corrective action plan, and oversees plan implementation
• Communication: Must be able to communicate in a clear, concise, and persuasive manner
• Attention to Detail: Follows all standard work thoroughly and ensures that all standards are met
• Dealing with Ambiguity: Able to fill in gaps in understanding and requirements and work with customers to improve clarity
• Innate Curiosity - constant drive to learn more, ask questions, seek better outcomes

What's in it for you :

• Benefits kick in day one!
• 6% 401K match, plus an additional 2% of eligible pay in core contributions
• 3 weeks of vacation per calendar year, plus paid holidays
• Benefits*:

Base Pay Range: $100,000 - $135,000 / year and will include a bonus plan

Disclaimer: This base pay range is based on US national averages. Actual base pay could be a result of seniority, merit, geographic location where the work is performed.

We offer competitive compensation and comprehensive benefits and programs. We are 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, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.