Senior Data Engineer

Join an innovative, AI-native technology company transforming how businesses buy, manage, and sell single-family rental properties through high-quality market intelligence. As a Senior Data Engineer, you will build data products that turn complex real estate information into actionable insights for customers. Working closely with Data Science and Product teams, you will design scalable data architectures, reliable pipelines, and intuitive data models that support critical business decisions. Your work will directly shape customer-facing products rather than serve solely as internal infrastructure. In a small, quality-focused engineering team, you will help establish technical standards, influence platform architecture, and improve data reliability. This remote opportunity offers the chance to combine technical leadership with meaningful impact in a rapidly evolving real estate technology market.

The ideal candidate combines strong data engineering expertise with sound architectural judgment and an interest in building customer-facing data products. You should be comfortable working in a small team, solving complex technical challenges, and taking ownership of data systems from design through production. Key qualifications include:

• At least 6 years of experience in data engineering or software engineering.

• Strong expertise in data architecture, data modeling, and building scalable data pipelines.

• Proficiency in SQL, Python, and/or Apache Spark.

• Extensive experience with cloud data warehouse platforms such as Snowflake, Amazon Redshift, or Google BigQuery.

• Experience scheduling, operating, and maintaining batch data processing workflows.

• Strong problem-solving skills and the ability to design reliable, maintainable data systems.

• The ability to establish engineering best practices and contribute to architectural decisions.

• Effective collaboration skills, particularly when working with Data Science and Product teams to translate business needs into technical solutions.

• An ownership-oriented mindset and a commitment to data quality, reliability, and continuous improvement.

• Curiosity and willingness to develop domain expertise in residential real estate and the single-family rental industry.

• Experience with workflow orchestration tools such as Airflow, Prefect, or Dagster.

• Knowledge of data warehouse architecture and Change Data Capture (CDC) modeling techniques.

• Experience with web scraping and extracting data from public or semi-structured sources.

• Familiarity with AI and machine learning platforms such as Amazon SageMaker, MLflow, or similar technologies.

• Hands-on experience managing data platform infrastructure using tools such as Terraform, Docker, and AWS services.