Job Location: San Diego, CA
About JLL –
We’re JLL—a leading professional services and investment management firm specializing in real estate. We have operations in over 80 countries and a workforce of over 91,000 individuals around the world who help real estate owners, occupiers and investors achieve their business ambitions. As a global Fortune 500 company, we also have an inherent responsibility to drive sustainability and corporate social responsibility. That’s why we’re committed to our purpose to shape the future of real estate for a better world. We’re using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people and our communities.
Our core values of teamwork, ethics and excellence are also fundamental to everything we do and we’re honored to be recognized with awards for our success by organizations both globally and locally.
Creating a diverse and inclusive culture where we all feel welcomed, valued and empowered to achieve our full potential is important to who we are today and where we’re headed in the future. And we know that unique backgrounds, experiences and perspectives help us think bigger, spark innovation and succeed together.
If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements below. We’re interested in getting to know you and what you bring to the table!
About the Role
As a Staff Data Engineer in the JLLT Sustainability Engineering Group, you will be supporting the software applications that enable our clients to become more sustainable, resilient, and responsible enterprises. You’ll play a critical role in designing, implementing, owning, and maintaining the data pipeline infrastructure that powers and supports our decarbonization suite of tools. We’re a group of collaborators and in this role, you will develop solutions and partner with other engineers to set up the foundation that will be leveraged by both internal and external customers. This is a fantastic opportunity to have real ownership of projects and to be able to see your work come to life at a global scale.
This role is fully remote.
Who You Are
You have 8+ years’ work experience and Bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science.
You have 6+ years of experience as a data developer using Python, Kafka, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc.
You have excellent technical, analytical and organizational skills.
You are a hands-on engineering lead who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Security etc
You have experience building Data Pipelines in Cloud.
You have designed & developed data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities.
You have experience handling un-structured data, working in a data lake environment, leveraging data streaming and developing data pipelines driven by events/queues
You are a team player, reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams
You are excited about data infrastructure and operations with a familiarity working in cloud environments and working with data excites you: you have created data architecture, you can build and operate data pipelines, and maintain data storage, all within distributed systems
What You’ll Do
Contribute to the design of information infrastructure, and data management processes to move the organization to a more sophisticated, agile and robust target state data architecture
Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data
Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions
Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities
Functionally lead team of data engineers to deliver data solutions in Agile manner while mentoring junior-level data engineers
Exert significant influence on the overall objectives and long-range goals of your team
Represent JLLT Sustainability Engineering and its values in public communication around broad initiatives, specific projects, and community contributions. Interact with customers and other external stakeholders as a consultant and spokesperson for the work of your team
Drive innovation on the team with a willingness to experiment and to boldly confront problems of immense complexity and scope
Actively seek out difficult impediments to our efficiency as a team (“technical debt”), propose and implement solutions that will enable the entire team to iterate faster
What you can expect from us
We succeed together and believe the best inspire the best, so we invest in supporting each other, learning together and celebrating our success.
Our Total Rewards program reflects our commitment to helping you achieve your career ambitions, recognizing your contributions, investing in your well-being and providing competitive benefits and pay.
We can’t wait to see where your ambitions take you at JLL. Apply today!
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