Senior Data Engineer American Homes 4 Rent, L.P. - 2.8 Las Vegas, NV Job Details Full-time $121,116 - $151,395 a year 16 hours ago Benefits Health savings account Employee stock purchase plan Paid holidays Health insurance Dental insurance Flexible spending account Tuition reimbursement Paid time off Vision insurance 401(k) matching Qualifications Data integrity assurance Data model design Data quality checks Commercial use (data warehousing systems) Cloud analytics services Cloud IoT services Databricks Data visualization software proficiency Data Integration (Data management) Continuous Delivery (CD) implementation Data modeling projects Full-stack development System design AI platforms (beyond public GPTs) Schema design Infrastructure architecture design SQL Data Architecture Design (Architecture design skills) Azure Data Lake Storage Business intelligence tools Data integrity process (data warehousing) Model deployment Azure Data Factory Implementing APIs Agile software development Cloud Architecture Design (Architecture design skills) Metadata Real-time data processing implementation Batch data processing Python Full Job Description Since 2012, we've grown to become one of the leading single-family rental companies and homebuilders in the country, recently recognized as a top employer by Fortune and Great Place To Work®. At AMH, our goal is to simplify the experience of leasing a home through professional management and maintenance support, so our residents can focus on what really matters to them, wherever they are in life. The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and analysis of large data sets. Develops and maintains scalable data pipelines, ensures data quality, and deploys machine learning models to production. Collaborates with business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization. Builds real-time and batch pipelines to handle large volumes of data efficiently. Collaborates with cross-functional teams and translate business requirements into scalable data solutions.

Responsibilities:

Design, develop, and maintain real-time or batch data pipelines to process and analyze large volumes of data. Designs and develops programs and tools to support ingestion, curation, and provisioning of complex first party and third-party data to achieve analytics, reporting, and data science. Design and develop Advanced Data Products and Intelligent API's. Monitors the system performance by performing regular tests, troubleshoots, and integrates new features. Lead in analysis of data and the design the data architecture to support BI, AI/ML and data products. Designs and implements data platform architecture to meet organization analytical requirements. Ensures the solution designs address operational requirements such as scalability, maintainability, extensibility, flexibility, and integrity. Provide technical leadership and mentorship to team members. Leads peer development and code reviews with focus on test driven development and Continuous Integration and Continuous Development (CICD).

Requirements:

Bachelor's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required. Master's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field preferred. Minimum of eight (8) years of experience as a data engineer with full-stack capabilities Minimum of ten (10) years of Experience in programming Minimum of five (5) years in Cloud technologies like Azure, Aws or Google. Strong SQL Knowledge Experience in ML and ML Pipeline a plus Experience in real-time integration, developing intelligent apps and data products. Proficiency in Python and experience with CI/CD practices Strong background in IAAS platforms and infrastructure Hands-on experience with Databricks, Spark, Fabric, or similar technologies Experience in Agile methodologies Hands-on experience in the design and development of data pipelines and data products Experience in developing data ingestion, data processing, and analytical pipelines for big data, NoSQL, and data warehouse solutions. Hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc. Extensive experience in Big Data technologies such as Apache Spark and streaming technologies such as Kafka, EventHub, etc. Extensive experience in designing data applications in a cloud environment. Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure. Extensive experience in Data Architecture and data modeling Expert in data analysis and data quality frameworks. Knowledgeable with BI tools such as Power BI and Tableau. May occasionally work evenings and/or weekends. Compensation The anticipated pay range/scale for this position is $121,116.00 to $151,395.00 Annually. Actual starting base pay within this range will depend on factors including geographic location, education, training, skills, and relevant experience. Additional Compensation This position is eligible to receive a discretionary annual bonus. Perks and Benefits Employees have the opportunity to participate in medical, dental and vision insurance; flexible spending accounts and/or health savings accounts; dependent savings accounts; 401(k) with company matching contributions; employee stock purchase plan; and a tuition reimbursement program. The Company provides 9 paid holidays per year, and, upon hire, new employees will accrue paid time off (PTO) at a rate of 0.0577 hours of PTO per hour worked, up to a maximum of 120 hours per year.

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