Data Engineer

Company Description

Since opening our first self-storage facility in 1972, Public Storage has grown to become the largest owner and operator of self-storage facilities in the world. With thousands of locations across the U.S. and Europe, and more than 170 million net rentable square feet of real estate, we're also one of the largest landlords.

We've been recognized as A Great Place to Work by the Great Place to Work Institute. And, our employees have also voted us as having Best Career Growth, ranked us in the Top 5% for Work Culture, and in the Top 10% for Diversity and Inclusion.

We're a member of the S&P 500 and FT Global 500. Our common and preferred stocks trade on the New York Stock Exchange.

Job Description

Join our innovative, full-stack team as a Data Engineerand 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.

Workplace

• One of our values pillars is to work as One Team and we believe that there is no replacement for in-person collaboration but understand the value of some flexibility. Public Storage teammates are expected to work in the office five days each week with the option to take up to three flexible remote days per month.
  • Our office is based in Plano, east of Interstate 75 near E. Park Blvd, just North of Historic Downtown Plano.