Data Engineer

Job DetailExperience Level Mid LevelDegree Type Bachelor of Science (BS)Employment Full TimeWorking Type HybridJob Reference 0000018019Salary Type AnnuallyIndustry Real EstateSelling Points Lead transformative data engineering projects leveraging cutting-edge cloud technologies. Collaborate with diverse teams to enable advanced analytics and insights. Enhance your expertise in a dynamic, innovation-driven environment.Job DescriptionOverviewDesign and implement scalable, secure, and efficient data solutions leveraging modern cloud technologies and best practices.Collaborate with cross-functional teams to translate business needs into robust data architectures and solutions.Lead modernization initiatives to enhance data reliability, scalability, and operational efficiency.Develop and optimize ETL/ELT pipelines to integrate diverse data sources seamlessly.Establish and enforce governance, security, and quality standards for enterprise data ecosystems.Enable advanced analytics and reporting by implementing BI tools and semantic data models.Evaluate and integrate emerging data technologies to drive innovation and scalability.Mentor team members and foster knowledge sharing to enhance data engineering practices.Travel up to 15% to support collaboration and business needs.Key Responsibilities & DutiesDesign, build, and maintain scalable cloud-based data solutions using modern tools and services.Develop and optimize ETL/ELT pipelines for high-volume enterprise data environments.Lead initiatives to modernize data platforms, reducing manual processes and enhancing efficiency.Define and enforce architecture, governance, and security standards for data systems.Collaborate with BI teams to enable self-service analytics and trusted insights.Monitor and optimize the performance, availability, and cost efficiency of data platforms.Translate complex business requirements into scalable and efficient data architectures.Support training initiatives and mentor team members in data engineering practices.Adopt and integrate new data technologies to enhance platform capabilities.Job RequirementsBachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.5+ years of experience in data engineering, with 3+ years in cloud-based solutions.Proficiency in modern cloud data tools like Azure, Databricks, or Snowflake.Proven expertise in building and optimizing large-scale ETL/ELT pipelines.Advanced SQL skills and experience with data modeling for analytics workloads.Knowledge of governance, security, and quality standards in cloud platforms.Preferred certifications in Azure, AWS, Snowflake, or Databricks.Experience with BI tools like Power BI and enabling self-service analytics.Strong communication skills for collaboration across teams and stakeholders.