AMH · 3 days ago
Senior Data Engineer
AMH is one of the leading single-family rental companies and homebuilders in the country, recognized as a top employer by Fortune and Great Place To Work®. The Senior Data Engineer is responsible for designing and managing the data platform and tools for efficient processing and analysis of large data sets, collaborating with business teams to enhance data accessibility and foster data-driven decision-making across the organization.
Property ManagementReal EstateReal Estate InvestmentRental
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)
Qualification
Required
Bachelor's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required
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
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
Preferred
Master's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field preferred
Experience in ML and ML Pipeline a plus
Benefits
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
Tuition reimbursement program
9 paid holidays per year
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
Company
AMH
At AMH, we’re redefining what it means to make a home yours. And we’re doing it with care.
H1B Sponsorship
AMH has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2023 (1)
2020 (1)
Funding
Current Stage
Public CompanyTotal Funding
$3.15B2025-05-06Post Ipo Debt· $650M
2024-12-02Post Ipo Debt· $500M
2024-06-18Post Ipo Debt· $500M
Recent News
2026-01-09
Company data provided by crunchbase