Company Description

　　Public Storage is recognized as one of America’s Best Large Employers in 2022 by Forbes and our employees have also voted us as a Great Place to Work , having Best Career Growth , ranked us in the Top 5% for Work Culture , and in the Top 10% for Diversity and Inclusion.

　　With more than 2,900 locations nationwide, Public Storage is the leader in the self-storage industry, and given our number of tenants, we may very well be the world's largest landlord. We've experienced unprecedented growth over the past four decades, and it's in no small part due to the dedicated team that has helped us become an S&P 500 industry leader, the country's largest real estate investment trust (REIT), and the most recognizable name in self-storage.

　　Job Description

　　Join our innovative, full-stack team as a Data Engineer and embark on a rewarding career path that offers an exciting blend of technical challenges and professional growth opportunities with an incredibly stable, S&P 500 firm. You will play a pivotal role in maintaining our data infrastructures integrity, driving efficiencies, and supporting the companys dynamic growth both short-term and long-term. If you are looking for a mentoring, collegial environment with a culture of performance & accountability with a technical leadership team, than this role is perfect for you to develop your skills in data engineering, machine learning operations, and leadership. Come build the future with us!

　　Responsibilities:

　　Collaboration: Work closely with Data Engineers and Data Scientists to optimize their workflows and with other departments to fulfill data requirements.

　　System Expansion: Strategically plan and implement system enhancements to meet the companys evolving analytical requirements.

　　Pipeline Development: Construct and oversee data pipelines from various sources, including internal databases and third-party APIs.

　　Data Management: Ensure the data lake is populated with timely and high-quality data.

　　ML Ops Assistance: Provide support for Machine Learning Operations.

　　Code Standards: Elevate and instruct on best practices for code maintainability and performance.

　　Documentation: Generate and update comprehensive architecture and systems documentation.

　　Qualifications

　　A Bachelors or Masters degree in STEM fields with a strong technical foundation.

　　At least 3 years of experience in deploying production-grade code in cloud environments and applying engineering best practices to machine learning.

　　Proficiency in relational database modeling, Data Mart design, SQL development, and tuning.

　　Minimum 2 years of experience with Python for data processing and API development.

　　Extensive experience (3+ years) in managing analytical data warehouses and columnar data stores, with a preference for Big Query.

　　Demonstrated expertise in development best practices, including query optimization, version control, code reviews, and documentation.

　　Experience (1-2+ years) in implementing and maintaining ETL data architecture at scale with tools like Airflow, DBT, Luigi, or Azkaban.

　　Desired Qualifications:

　　Experience (1+ years) with Data and ML Orchestration, Containerization, and GPU Compute technologies such as Docker, Kubernetes, Spark, or Dask

　　Background (1+ years) in a DevOps or MLOps role, building machine learning infrastructure with tools like Terraform or Google Cloud Deployment Manager.

　　Familiarity (1+ years) with dash boarding tools, preferably Looker.

　　Experience (1+ years) in developing and deploying ML solutions in public clouds like Google Cloud Platform, AWS, or Azure.

　　This is a unique opportunity to grow your career in a supportive environment that values innovation and collaboration. If you are passionate about data engineering and ready to make a significant impact, we would love to hear from you.

　　Additional Information

　　All your information will be kept confidential according to EEO guidelines.

　　We are united under one common goal – creating a diverse and inclusive environment where all employees feel valued, included, and excited to be part of a best-in-class team. With over 5,000 team members from all different races, backgrounds, and life experiences, we celebrate inclusion and value the diversity each person brings to Public Storage. We believe our commitment to diversity and inclusion makes us a stronger Company and instills a sense of pride across our teams and the customers we serve.