Staff Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

⛰️ Colorado, Florida, +7 more states – Remote

⛰️ Colorado – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🌪️ Kansas – Remote 🦀 Maryland – Remote 🏰 Missouri – Remote ⚓ Rhode Island – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote

💵 $142k - $206.3k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 20%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 21 days.
• 444 open roles for a team of 70.

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Jones Lang LaSalle Americas, Inc.

WebsiteLinkedInAll Job Openings

10,000+ employees

🏠 Real Estate

🤝 B2B

💼 Consulting

Real Estate • B2B • Consulting

Jones Lang LaSalle Americas, Inc. is a company that provides commercial real estate services for corporations and investors worldwide. Their focus is on helping clients save money, increase productivity, and improve sustainability in real estate operations.

📋 Description

• Own the software development lifecycle of a Python application implementing ETL workflows and automating business processes • Own the content and operations of a Databricks Workspace, including a custom data catalog and Python application job runs • Partner with stakeholders to identify process automation and reporting opportunities • Design, implement, enhance, test, validate, and iteratively improve end-to-end solutions • Deliver mission-critical reporting through scheduled job runs and ad-hoc stakeholder requests • Build and maintain solutions integrated across Databricks, Power Automate, SharePoint, Smartsheet, CMMS, weather reporting, and service validation systems via REST APIs • Maintain and extend a packaged Python application covering business processes and ETL workflows • Perform planning, analysis, design, development, testing, deployment, maintenance, and documentation • Read, write, and review Python code, including unit and integration tests • Maintain SQL queries defining a custom Databricks data catalog • Troubleshoot Python applications, database queries, and system integrations • Maintain the USPS account data engineering knowledge base • Use AI coding assistants to design, build, test, troubleshoot, and document solutions • Build AI-powered data pipelines as needed • Serve as the sole engineer on the USPS account and help shape its technology strategy, culture, and business processes

🎯 Requirements

• 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 data stores such as Delta tables, SQLite databases, and blob containers • Familiarity with agile practices and kanban • Experience with modern Python tooling such as uv, ruff, and ty (preferred) • Familiarity with, or willingness to learn, MJML (preferred) • Experience building LLM-powered applications or data pipelines (preferred) • General experience using Azure as a platform (preferred) • Strong written and verbal communication skills • Strong customer service skills and ability to explain complex topics to a non-technical audience • Strong research, problem solving, and systems thinking skills • Desire to learn new technologies, grow in the discipline, and adapt to changing requirements • Comfortable working independently as the sole engineer on the account • Candidates must be authorized to work in the United States without sponsorship • No visa sponsorship provided

🏖️ Benefits

• 401(k) plan with matching company contributions • Comprehensive Medical, Dental & Vision Care • Paid parental leave at 100% of salary • Paid Time Off and Company Holidays • Early access to earned wages through Daily Pay • Supportive culture and comprehensive benefits package prioritizing mental, physical and emotional health • Professional growth, flexibility, and personalized benefits

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