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Jones Lang LaSalle Americas, Inc.

Senior Data Engineer

Jones Lang LaSalle Americas, Inc.

Data Engineer responsible for developing and maintaining data solutions using Power BI and Azure Databricks. Collaborating with teams to drive data-driven decision-making across the organization.

Posted 5/14/2026full-timeRemote • Arizona, North Carolina, South Carolina • 🇺🇸 United StatesSenior💰 $95,000 - $105,000 per yearWebsite

Tech Stack

Tools & technologies
AzureSQL

About the role

Key responsibilities & impact
  • Collaborate with business users to identify, analyze, and document business requirements and key performance indicators (KPIs)
  • Design, develop, and maintain data integration and automation using Power BI, Azure Databricks, Power Automate, and SmartSheets
  • Collect and transform data from multiple sources into a structured format for analysis
  • Develop and maintain data models and data sets for efficient and accurate reporting
  • Create Power BI dataflows and shared semantic models to consolidate data model definitions
  • Ensure data accuracy, integrity, and consistency within the BI solutions
  • Provide training and support to Power BI developers to optimize data models in Power BI for their development needs
  • Collaborate with IT teams to ensure data security, integrity, and compliance with data governance policies
  • Stay up to date with the latest trends in business intelligence and analytics tools, techniques, and best practices

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Information Systems, Business Analytics, or a related field
  • Proven experience of at least 3 years as a Data Engineer or similar role
  • Strong proficiency in Power BI, specifically modeling, row-level-security, and complex DAX formulations
  • Strong proficiency in Power Query, including writing M-code
  • Solid understanding and practice of data modelling: relational models (ERD), star/snowflake schemas, slowly changing dimensions, referential integrity, etc.
  • Proficient in SQL and data manipulation languages
  • Strong analytical and problem-solving skills with the ability to interpret complex data sets
  • Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders
  • Ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines

Benefits

Comp & perks
  • 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

ATS Keywords

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Hard Skills & Tools
Power BIAzure DatabricksPower AutomateSmartSheetsdata integrationdata modelingSQLPower QueryDAXdata manipulation
Soft Skills
analytical skillsproblem-solving skillscommunication skillscollaboration skillsproject managementprioritizationtime management
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Information SystemsBachelor's degree in Business Analytics