Sr Data Engineer

Senior Data EngineerLocation: Las Vegas, NV Work Arrangement: 100% Onsite - 5 days per week (Required)Employment Type: Direct HireIndustry: Property Management / Real Estate TechnologyClient: Fusion client - large, national property management organizationPosition SummaryA Fusion client in the property management space is seeking a Senior Data Engineer to play a key role in building, scaling, and optimizing a modern Databricks-first data platform. This role is heavily hands-on and focused on designing and improving Spark-based data pipelines using Databricks, Python, and SQL in a cloud environment.The Senior Data Engineer will lead large-scale data initiatives, including onboarding new data sources into the data warehouse, building real-time and batch data pipelines, and significantly improving pipeline performance and reliability. This role partners closely with engineering, analytics, and business teams to deliver scalable data solutions that support analytics, BI, and future AI/ML use cases.Critical Skill Priorities (In Order of Importance)Hands-on Databricks experience (Required)Strong Python scripting and SQL (daily, hands-on use)Apache Spark for cloud data loading and transformationLarge-scale data initiatives (new source ingestion, platform expansion)Real-time and streaming data pipelinesPipeline performance tuning and optimizationKey ResponsibilitiesDesign, build, and maintain real-time and batch data pipelines using Databricks and SparkDevelop Python- and Spark-based processes for cloud data ingestion, transformation, and loadingLead large data initiatives such as:Bringing new internal and external data sources into the data warehouseSupporting streaming and near-real-time data use casesImproving pipeline speed, scalability, and reliabilityDesign and evolve data architecture supporting analytics, BI, and future AI/ML initiativesCollaborate with cross-functional teams to translate business requirements into scalable data solutionsMonitor pipeline health, troubleshoot data issues, and improve system performanceParticipate in code reviews and promote best practices around testing, CI/CD, and maintainable data pipelinesContribute to the design and development of data products and data services consumed across the organizationRequired QualificationsBachelor’s degree required in Computer Science, Data Science, Engineering, Information Systems, Mathematics, Statistics, or a related fieldCandidates with fewer years of experience may be considered only if degree requirements are met5+ years of hands-on experience as a Data EngineerStrong, hands-on experience with Databricks and Apache SparkStrong proficiency in Python scripting for data processing and pipeline developmentAdvanced SQL skills for analytics, transformations, and troubleshootingExperience building and supporting cloud-based data pipelinesExperience working with large-scale data platforms and warehousesStrong troubleshooting and problem-solving skillsPreferred / Nice-to-Have QualificationsExperience with Snowflake (may be considered in place of some Databricks experience)Experience with streaming technologies (Spark Streaming, Kafka, Event Hub, etc.)Experience optimizing and tuning data pipelines for performance and scalabilityExperience with CI/CD practices in data engineering environmentsFamiliarity with BI tools such as Power BI or TableauExperience working in Agile development environmentsFusion HCR Staffing LLC is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law.The information contained in this job posting is for general informational purposes only. Fusion HCR Staffing reserves the right to modify, suspend, or discontinue any job posting at any time without notice. Employment is subject to satisfactory completion of background screening and other pre-employment requirements.

• Bachelor’s degree required in Computer Science, Data Science, Engineering, Information Systems, Mathematics, Statistics, or a related field
• Candidates with fewer years of experience may be considered only if degree requirements are met
• 5+ years of hands-on experience as a Data Engineer
• Strong, hands-on experience with Databricks and Apache Spark
• Strong proficiency in Python scripting for data processing and pipeline development
• Advanced SQL skills for analytics, transformations, and troubleshooting
• Experience building and supporting cloud-based data pipelines
• Experience working with large-scale data platforms and warehouses
• Strong troubleshooting and problem-solving skills

Preferred / Nice-to-Have Qualifications

• Experience with Snowflake (may be considered in place of some Databricks experience)
• Experience with streaming technologies (Spark Streaming, Kafka, Event Hub, etc.)
• Experience optimizing and tuning data pipelines for performance and scalability
• Experience with CI/CD practices in data engineering environments
• Familiarity with BI tools such as Power BI or Tableau
• Experience working in Agile development environments