Data Engineer

What You Will Work On

Design, build, and maintain ELT pipelines that ingest data from APIs, object stores, databases, and streaming or queue-based sources.
Build scalable data models and transformations that serve analytics, machine learning, and operational use cases.
Own and improve existing production data pipelines, including modernizing legacy workflows.
Standardize and match data across sources, including entity resolution and address normalization.
Build and maintain data quality checks, monitoring, and alerting so issues are caught early.
Partner with ML, BI, and data operations teams to understand their needs and deliver the data they rely on.
Champion engineering best practices: code review, testing, documentation, and version

Who We Are Looking For

Bachelor's degree in a technical field, or equivalent practical experience.
3-5+ years of overall experience in software or data engineering.
3+ years of professional Python development.
Strong understanding of data modeling, data lake architecture, and master data management concepts.
Familiarity with ELT standards and best practices.
Hands-on experience with AWS services such as IAM, S3, Glue, RDS or Aurora, EKS, SQS, DynamoDB, and Lambda.
Experience with workflow orchestration (e.g., Airflow) and SQL-based transformation (e.g., dbt).
Experience with containerization and orchestration (e.g., Docker, Kubernetes).
Proficiency with Git and collaborative development on a shared codebase.
Comfortable with the command line.
Preferred
Experience with open table formats such as Apache Iceberg.
Experience working with MLS, real estate, property, or other large public-record datasets.
Experience building platforms or internal tools that other engineers use.
Experience with data lake or lakehouse architectures at scale.

Why Join Us

Your work ships to customers and directly drives revenue. It is not BI or internal reporting.
Work on data that affects how people value and finance their homes.
Partner closely with product management on a roadmap that you help shape.
Shape the architecture and standards for a growing data platform.

What You Can Expect

Compensation: The base salary for this position ranges from $120,000 to $153,700 annually, depending on your location, experience, and qualifications. Additional compensation offerings include company profit-sharing bonus program, communication stipends, and referral bonuses. 
Inclusive benefits package offering:  Comprehensive medical, dental, and company paid vision insurance, 401(k) retirement plan with employer match, voluntary life and AD&D insurance options, voluntary supplemental insurances for accident, critical illness, and legal services,  paid time off (PTO) and paid holidays, employee assistance and wellness programs, company paid short term disability coverage, company contributions to health saving funds (with participation in the high deductible health plan. We offer company paid access to Galileo for virtual primary care and Rula for virtual mental health resources.
Through our Anniversary Program, we celebrate the meaningful milestones and long tenure that reflect how much we value your contributions and commitment to our team.
Career and skill development resources to help advance your career and personal growth.
A mission-driven environment where your work makes a measurable impact on the real estate industry.

What We Value

Wherever it Leads, Whatever it Takes® -  No matter how remote, complex, or unexpected. Our commitment never wavers.
Hire NICE people - Skills can be taught but character shines through. We seek those who bring integrity, kindness, and grit.
Lift others up - We lead with empathy and strive to improve the lives of those around us.
Sweat the details - Excellence lives in the little things. Getting it just so is how we make a big impact.
Raise the bar -  We don’t settle for industry standards, we redefine them.