Mainstay
Senior Data Engineer
Remote · Remote · Senior · Full-time · Posted Oct 23, 2026
- Experience
- 6+ years in data engineering or software engineering.
About the job
Build customer-facing data products and the data platform that provides real estate businesses with high-quality information for underwriting, leasing, vendor management, and related needs.
What you'll do
- Architect durable data models and reliable workflows for generating data assets.
- Help shape the data platform architecture and establish data engineering standards and best practices.
- Partner with data science and product teams and develop expertise in residential real estate.
What they ask for
- 6+ years of experience in data engineering or software engineering.
- Expertise in data architecture, data modeling, and building data pipelines at scale.
- Proficiency in SQL, Python, and/or Spark.
- Expertise in cloud data warehouses such as Snowflake, Redshift, or BigQuery, and experience operating scheduled batch-processing workflows.
Nice to have
- Experience with Airflow, Prefect, Dagster, or similar orchestration systems; DWH architecture and CDC modeling; or web scraping and data extraction.
- Experience with AI/ML platforms such as SageMaker or MLflow, or data-platform infrastructure tools such as Terraform, Docker, and AWS services.
Tools
SQL, Python, Spark, Snowflake, Redshift, BigQuery, Airflow, Prefect
AI focus
The company describes itself as AI-native, but the role posting does not specify AI work beyond listing AI/ML platform experience as a preferred qualification.
Model-written summary · the original posting is authoritative