Staff Data Engineer

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.

Your Role

As a Staff Data Engineer (business title: Director, Data Engineering), you’ll own the software development lifecycle of a Python application that implements ETL workflows and automates business processes. You’ll also own the content and operations of a Databricks Workspace, which includes a custom data catalog and job runs of our Python application. Your users are the operations, finance, sourcing, contracting, and maintenance assessment teams on JLL’s USPS account. They work to deliver critical facility management services to USPS stations and distribution centers across the country. You support their work by automating their business processes and delivering accurate, reliable, and timely reporting that they need to run their business.

Responsibilities

• Partner with stakeholders to discover opportunities for process automation or reporting improvements, and design solutions or enhancements that meet their needs.
• Implement new end-to-end solutions, or enhance existing solutions, and work with your stakeholders to test, validate, and iteratively improve on those solutions.
• Deliver mission-critical reporting via scheduled job runs or ad-hoc requests from stakeholders.
• Build and maintain solutions that are distributed across multiple systems and integrated via REST APIs – Databricks, Power Automate, SharePoint, Smartsheet, CMMS systems, weather reporting systems, service validation systems, etc.
• Maintain and extend a packaged Python application containing many modules, each of which automates a business process or ETL workflow, and own every step of the software development lifecycle for this application: planning, analysis, design, development, testing, deployment, maintenance, and documentation.
• Read, write, and review Python code, including unit tests and integration tests.
• Read, write, and maintain simple to moderately-complex SQL queries that define a custom data catalog in Databricks.
• Troubleshoot and resolve bugs or issues with Python applications, database queries, and system integrations.
• Maintain a knowledge base that contains all documentation for the USPS account’s data engineering program.
• Leverage an AI coding assistant as needed to help you design, build, test, troubleshoot, and document the solutions you own.
• Build new AI-powered data pipelines when stakeholder needs call for it.

Requirements

Experience

• At least 5 years of experience designing, building, and deploying packaged Python applications in production with CI/CD (GitHub Actions)
• Strong Python skills, including asynchronous programming (asyncio), data processing (pandas, numpy, PySpark), and testing (pytest)
• Comfortable reading and writing simple to moderately-complex SQL
• Proficiency with Git and Git workflows
• Experience working in cloud environments: Databricks, Microsoft 365, and Power Platform
• Experience working with RESTful APIs and a variety of data stores such as Delta tables, SQLite databases, and blob containers
• Familiarity with agile practices and kanban

Preferred

• Experience with modern Python tooling such as uv, ruff, and ty
• Familiarity with, or willingness to learn, MJML for building responsive email templates
• Experience building LLM-powered applications or data pipelines
• General experience using Azure as a platform

Traits

• Strong written and verbal communication skills
• Strong customer service skills, able to explain complex topics to a non-technical audience
• Strong research, problem solving, and systems thinking skills
• Have a desire to learn new technologies, grow in your discipline, and adapt to changing requirements
• Comfortable working independently as the sole engineer on the account

This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.

Expected compensation for this position:

141,984.00 – 206,256.00 USD per year

Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.

Location:

Remote –Baltimore, MD, Charleston, WV, Chicago, IL, Cranston, RI, Denver, CO, Richmond, VA, Sherman, KS, St. Louis, MO, Tampa, FL