SitusAMC is where the best and most passionate people come to transform our client’s businesses and their own careers. Whether you’re a real estate veteran, a passionate technologist, or looking to get your start, join us as we work together to realize opportunities for everyone, we proudly serve.
At SitusAMC, we are looking to match your unique experience with one of our amazing careers, so that we can help you realize your potential and career growth within the Real Estate Industry. If you are someone who can be yourself, advocate for others, stay nimble, dream big, own every outcome, and think global but act local – come join our team!
This role is central to scaling our data pipelines and calculation workflows that support decision-making in the residential real estate mortgage domain. This role will work with large datasets, streaming sources, and message brokers to build robust, scalable data workflows in production using tools such as Apache Airflow, Dagster, and others. Bringing experience with machine learning frameworks and particularly their orchestration, or domain experience in residential real estate or mortgage processing / analysis, would be very highly preferred.
Essential Job Functions :
- Design, implement, and maintain scalable data ingestion pipelines using Python and workflow orchestration tools like Airflow, Dagster, or Prefect.
- Architect and deploy asynchronous workflows, streaming ETL pipelines, and event-driven architectures using message brokers (Kafka, RabbitMQ, etc.).
- Optimize performance and reliability of data systems in a high-volume, production environment.
- Build reusable components, automate routine data tasks, and ensure observability across all workflows.
- Work closely with product and domain experts in real estate and mortgage to translate business needs into robust data solutions.
- Such other activities as may be assigned by your manager
Qualifications / Requirements :
Bachelor’s degree in computer science / engineering, Information Systems preferred or equivalent combination of education and experienceExperienced professional with 6+ years of industry and / or relevant experience, typically with 1+ years in a Senior Associate level role or external equivalent.6+ years of professional Python development experience, with a focus on data pipelines and asynchronous systems.Proven experience with SQL and NoSQL data stores, handling large datasets.Proven experience building and scaling production workflows using Airflow, Dagster, Prefect, or similar tools.Strong knowledge of message brokers (Kafka, RabbitMQ, AWS SQS, etc.) and event-driven data architecture.Familiarity with containerized deployment (Docker, Kubernetes) and cloud-native services (AWS, GCP, or Azure).Strong communication skills and ability to collaborate in a cross-functional environment.Experience in the residential real estate or mortgage industry, especially around mortgage pricing and valuation preferredFamiliarity with data privacy, compliance, and auditability in regulated industries preferredExperience integrating machine learning models into data workflows preferredSolid knowledge and understanding of Object Oriented (Analysis, Design, Programming)Experience managing UX – Human centered designsExperience using Azure DevOps, Jira, Jenkins, Git, Bitbucket, or similar toolsInterest and ability to learn other coding languages as neededDemonstrates attention to detail, accuracy, and thoroughnessStrong organization, administrative and documentation skillsProven analytical and creative problem-solving skillsAbility to manage competing demands, delays, or unexpected eventsLI-AS1 #LI-Remote