Senior Data Engineer jobs in United States
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Maymont Homes · 1 hour ago

Senior Data Engineer

Maymont Homes is transforming the single-family rental experience through innovation and quality. The Senior Data Engineer will design, build, and optimize scalable data systems and pipelines to enable robust analytics and data-driven decision-making.

Property ManagementReal Estate
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Growth Opportunities

Responsibilities

Design, develop, and maintain data pipelines that extract, transform, and load data between Salesforce, APIs and cloud data platforms (e.g., Snowflake, Redshift, Databricks)
Develop and maintain efficient, scalable, and well-documented code using modern engineering practices
Partner with data analysts, scientists, and architects to improve data accessibility and reliability across the organization
Implement and maintain ETL frameworks and automation to ensure timely and accurate data delivery
Research emerging data technologies to enhance scalability, performance, and automation of data systems
Deliver reliable, scalable, and optimized data pipelines that meet SLAs
Ensure accuracy, completeness, and timeliness of data across systems
Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to support analytical and operational initiatives
Contribute to the evaluation and adoption of new tools, technologies, and processes for improving data infrastructure
Maintain technical documentation and adhere to organizational best practices and coding standards
Build and maintain enterprise data products including data ingestion, storage, organization, and cloud data products. Implement and maintain ETL processes to ensure accurate and timely data flow
Automate and manage infrastructure and deployments to ensure reliability and scalability through DevOps practices

Qualification

Data ArchitectureETL ProcessesPythonSQLCloud Data ServicesData WarehousingETL Orchestration ToolsSalesforce IntegrationVersion ControlProblem-Solving SkillsCommunication SkillsCollaboration Skills

Required

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
Minimum of 3+ years of experience in data engineering
Strong problem-solving skills and attention to detail
Excellent communication and collaboration skills in a cross-functional environment
Strong understanding of data architecture, ETL processes, and big data systems
Strong proficiency in Python and SQL; familiarity with Spark is a plus
Hands-on experience with modern data warehouses such as Redshift or Snowflake
Proficiency with cloud data services (AWS), particularly AWS S3 and Redshift
Expertise with ETL orchestration tools (e.g., Airflow, Glue)
Familiarity with Git and version control best practices
Experience working with Salesforce data models, APIs, and integration tools to support data ingestion, synchronization, and analytics

Preferred

Certification in Data Engineering or Cloud Architecture (AWS, Azure, Snowflake, or GCP)
Experience with Open Search, Document Databases, and other non-relational systems
Familiarity with CI/CD pipelines and infrastructure-as-code tools such as Docker and Terraform
Experience using Jira and Scrum boards to manage sprints, track progress, and collaborate effectively within agile development teams
Experience with data governance, quality frameworks, and metadata management
Exposure to data visualization tools (e.g., Power BI, Tableau) for understanding downstream data use

Benefits

5% 401(k) match
Wellness credits that reduce healthcare costs
Up to 160 hours of PTO annually for full-time employees

Company

Maymont Homes

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Our Growth, Your Opportunity At Maymont Homes, we’re committed to delivering an exceptional single-family rental experience shaped by innovation, quality, and genuine care for our residents.

Funding

Current Stage
Growth Stage

Leadership Team

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Whit Bundy, CFA
Chief Investment Officer
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Company data provided by crunchbase