Senior Data Engineer

AMH; Calabasas (CA); On-site; USD 122,573 - 151,395; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company matching

Tuition reimbursement

Paid holidays

Paid time off

Job summary

A leading single-family rental company in California is seeking a Senior Data Engineer to design and manage data pipelines, ensuring high data quality and effective data solutions. The role requires strong expertise in Cloud technologies and SQL, with a focus on building scalable data solutions. The ideal candidate will have extensive experience in machine learning, big data technologies, and a strong background in data architecture. Competitive salary and benefits including medical and 401(k) matching are offered.

Qualifications

• Bachelor’s degree in computer science or related field required.
• Master’s degree preferred.
• 8+ years of experience as a data engineer.
• 5+ years of experience in Cloud technologies.
• Strong SQL knowledge and proficiency in Python.

Responsibilities

• Design and maintain data pipelines to analyze large volumes of data.
• Lead analysis of data architecture to support business intelligence.
• Provide technical leadership and mentorship to team members.

Skills

Data pipeline development

Cloud technologies (AWS, Azure, GCP)

SQL

Python

Machine Learning

Big Data technologies (Spark, Kafka)

CI/CD practices

Data architecture

RESTful APIs

Agile methodologies

Education

Bachelor's degree in relevant field

Master's degree in relevant field (preferred)

Tools

Databricks

Power BI

Tableau

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 translates 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 APIs. Monitors the system performance by performing regular tests, troubleshooting, and integrating new features.
• Lead in analysis of data and the design of 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, Cosmos 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 $122,573.13 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 also 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.

Background Check

Background check required. AMH will consider for employment qualified applicants with arrest or conviction records in accordance with all applicable federal, state and local laws, which may include the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

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