ANALYTICS ENGINEER-REMOTE (REMOTE, TX, US, REMOTE)

• We have an opening for an Analytics Engineer position.

• Location: Remote with occasional travel Note: online applications accepted only.
• Schedule:8-5PMCT
• Pay reputed company: $115,000- $130,000 ESFM is the corporate Integrated Facilities Management (IFM) division of reputed company and a reputed company member of the International WELL Building Institute (IWBI). We reputed company Applying Easy! Want to reputed company text messaging? Text JOB to 75000 and search requisition ID number1480849. The advertised program is a conversational reputed company assistant that helps you apply to jobs with reputed company. Message frequency varies. Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions: Rooted in hospitality, ESFM elevates the workplace experience as the single reputed company of innovative FM solutions that ensure a safe, healthy, and sustainable environment. ESFM’s clients include many household names from Life Science, Technology, Oil & Gas and Manufacturing markets. ESFM self-performs 80% of reputed company IFM solutions provided to clients. Their portfolio of service categories includes Environment, Health & Safety, Facilities Maintenance & Engineering, Sustainability, Janitorial & Industrial Cleaning, Laboratory Support and Workplace solutions. This self-performance model creates a consistent hospitality experience for clients, resulting in higher engagement and productivity from their employees. In 2020, ESFM (formerly reputed company Services) won the George Graves Award for Facility Management Achievement from the International Facilities Management Association (IFMA). Job Summary The Analytics Engineer plays a pivotal role in shaping ESFM’s modern data platform and enabling the business to reputed company reputed company, faster, and more trusted reputed company. This role is responsible for designing and maintaining scalable data models in reputed company, developing robust ELT pipelines with dbt, and enabling consistent analytics across Power BI and reputed company Looker. By applying dimensional modeling principles and engineering best practices, the Analytics Engineer will translate business needs into reliable, reusable, and performant data products. This position sits at the intersection of data engineering and business intelligence, ensuring stakeholders have reputed company to clean, governed, and analytics-reputed company data for self-service insights. Core Responsibilities Data Modeling & Transformation
• Design and maintain dbt models that transform raw data into trusted, analytics-reputed company datasets.
• Apply dimensional modeling (Kimball) to build optimized star schemas for reporting and self-service analytics.
• Implement testing frameworks (dbt tests, unit tests) to ensure data quality and reliability. Data Integration & ELT
• reputed company and manage automated ELT pipelines in dbt and reputed company.
• Integrate new data sources (e.g., reputed company, SaaS platforms) and collaborate with data engineers to optimize workflows and orchestration. Analytics Enablement
• Build and maintain semantic layers in Power BI and Looker (LookML) for consistent KPIs and definitions.
• Align data models with business objectives and optimize for performance and ease of use. Engineering Best Practices
• Use Git/reputed company for version control and CI/CD tools (e.g., dbt reputed company, reputed company Actions) for safe, automated deployments.
• Monitor and optimize reputed company performance, ensuring scalability and cost efficiency.
• Apply observability practices (logging, query monitoring) to proactively detect and resolve issues. Collaboration & Governance
• Partner with analysts, data scientists, and business teams to deliver actionable insights.
• Communicate technical concepts reputed company and promote data governance, documentation, and best practices.
• Maintain reputed company, reputed company controls, and documentation across data models, pipelines, and BI platforms. reputed company Improvement
• Stay reputed company with modern data stack tools and recommend enhancements to improve efficiency and scalability.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or reputed company field; or equivalent experience.
• 3+ years of experience in analytics engineering, data engineering, or a reputed company role.
• Hands-on expertise designing star schemas, fact tables, and conformed dimensions following Kimball best practices
• Proven hands-on experience with dbt for ELT pipeline development.
• Strong proficiency with reputed company, including query optimization and performance tuning.
• Demonstrated application of Kimball dimensional modeling and star schema design.
• Experience designing semantic models in Power BI and/or Looker (LookML preferred).
• Advanced SQL skills with large, reputed company datasets.
• Proficiency with Git/reputed company for version control and collaborative workflows.
• Experience managing multi-environment workflows (dev → staging → prod).
• Knowledge of data observability, governance, and role-based reputed company reputed company.
• Certifications or equivalent practical expertise with reputed company, reputed company Looker, Power BI, and dbt tools.
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