Senior Data Engineer

4rahlp1 American Homes 4 Rent, L.P.; Calabasas (CA); On-site; USD 123,000 - 151,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Employee stock purchase plan

Nine paid holidays per year

PTO accrual

Job summary

American Homes4Rent,LP seeks an experienced Data Engineer to design and maintain real‑time and batch data pipelines for analytics and data science. You will build data products and intelligent APIs, ensure scalable architectures, and mentor peers in CI/CD practices.

The role requires 8+ years in data engineering, strong Python and SQL skills, and cloud experience with Azure/AWS. Prior Databricks/Spark and BI tool expertise is highly valued.

Qualifications

• Bachelor’s degree in a related field required; Master’s preferred.
• 8+ years as a data engineer with full-stack capabilities.
• 10+ years of programming experience; strong SQL.
• Cloud experience (Azure/AWS/GCP) required.
• Experience with ML pipelines and real-time data processing.
• Proficiency in Python; CI/CD practices; data modeling.
• Hands-on with Databricks/Spark; Kafka and EventHub.
• Experience in BI tools like Power BI or Tableau.

Responsibilities

• Design, develop, and maintain data pipelines for large data volumes.
• Create tools for ingestion, curation, and provisioning of complex data.
• Build data products and intelligent APIs to support analytics.
• Monitor performance, troubleshoot, and add new features.
• Lead data architecture work for BI, AI/ML initiatives.
• Provide technical leadership and code reviews focused on CI/CD.

Skills

SQL

Python

Data analysis

Data architecture

CI/CD

ML pipelines

Agile

RESTful APIs

NoSQL

Big data concepts

Education

Bachelor’s degree in computer science or related field

Master’s degree preferred

Tools

Databricks

Spark

Kafka

EventHub

Azure Data Factory

Cosmos DB

HDInsight

Power BI

Tableau

Job description

Responsibilities

• Design, develop, and maintain real‑time or batch data pipelines to process and analyze large volumes of data.
• Design and develop programs and tools to support ingestion, curation, and provisioning of complex first‑party and third‑party data for analytics, reporting, and data science.
• Design and develop advanced data products and intelligent APIs.
• Monitor system performance, perform regular tests, troubleshoot, and integrate new features.
• Analyze data and design the data architecture to support BI, AI/ML, and data products.
• Implement data platform architecture that meets organizational analytical requirements.
• Ensure solutions address operational requirements such as scalability, maintainability, extensibility, flexibility, and integrity.
• Provide technical leadership and mentorship; lead peer development and code reviews focused on test‑driven development and continuous integration/continuous development (CI/CD).

Requirements

• Bachelor’s degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, or a related field required.
• Master’s degree in a related field preferred.
• Minimum eight (8) years of experience as a data engineer with full‑stack capabilities.
• Minimum ten (10) years of experience in programming.
• Minimum five (5) years of experience with cloud technologies (Azure, AWS, or Google).
• Strong SQL knowledge.
• Experience in machine learning and ML pipelines.
• Experience in real‑time integration, developing intelligent apps, and data products.
• Proficiency in Python and experience with CI/CD practices.
• Background in IAAS platforms and infrastructure.
• Hands‑on experience with Databricks, Spark, Fabric, or similar technologies.
• Experience with Agile methodologies.
• Hands‑on experience designing and developing data pipelines and data products.
• Experience developing data ingestion, processing, and analytical pipelines for big data, NoSQL, and data‑warehouse solutions.
• Hands‑on experience with Azure services: ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Services, HDInsight, Databricks, Azure Data Catalog, Cosmos DB, ML Studio, AI/ML, etc.
• Extensive experience with Big Data technologies such as Apache Spark and streaming technologies such as Kafka and EventHub.
• Extensive experience designing data applications in a cloud environment.
• Intermediate experience with RESTful APIs, messaging systems, and AWS or Microsoft Azure.
• Extensive experience in data architecture and data modeling.
• Expertise in data analysis and data‑quality frameworks.
• Knowledge of BI tools such as Power BI and Tableau.
• May occasionally work evenings and/or weekends.
• Background check required.

Compensation

Annual base pay range: $122,573.13 – $151,395.00. Additional discretionary annual bonus possible.

Benefits

• Medical, dental, and vision insurance.
• Flexible spending accounts and/or health savings accounts.
• Dependent savings accounts.
• 401(k) with company match.
• Employee stock purchase plan.
• Tuition reimbursement program.
• Nine paid holidays per year.
• PTO accrual at 0.0577 hours per hour worked, up to a maximum of 120 hours per year.

Equal Opportunity Employer

American Homes4Rent,LP (“AMH”) provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, gender identity, sexual orientation, marital status, pregnancy, parent status, national origin, age, disability (physical or mental), family medical history, genetic information, political affiliation, military service, or other non‑merit based factors. AMH provides reasonable accommodations to qualified individuals with disabilities. To request an accommodation, email [e-mail].