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Flow · 1 day ago

Senior Data Engineer

Miami, FL

Full-time

Onsite

Senior Level

7+ years exp

Flow is a company reimagining living and working experiences through technology in real estate. They are seeking a Senior Data Engineer to shape data architecture and strategy, working closely with operations teams to translate real-world challenges into data solutions that impact decision-making.

Commercial Real EstateCommunitiesProperty DevelopmentReal EstateResidential

Responsibilities

Design, build, and maintain data pipelines and architecture using Snowflake, dbt, and AWS

Implement scalable ETL processes and data models that power analytics across the organization

Build data solutions for complex challenges like entity resolution, multi-system attribution, and household matching

Work directly with operations teams (leasing, marketing, property management) to translate daily workflow challenges into data solutions

Own problems end-to-end: from stakeholder conversations through implementation to dashboard deployment and adoption

Document architectural decisions and explain technical tradeoffs to non-technical stakeholders in clear, jargon-free language

Use AI coding assistants (Claude Code, GitHub Copilot) to accelerate development while maintaining production-quality code

Write effective prompts for AI tools and review generated solutions critically—knowing when to trust AI and when to take over

Qualification

Data engineering experienceData modeling with dbtSQL proficiencyPython proficiencySnowflake expertiseAWS knowledgeETL processesAnalytical skillsWritten communicationVerbal communicationProblem-solving

Required

A minimum of 7 years of data engineering experience building scalable data systems in operations-heavy, data-forward organizations (not big tech)

Experience working in product & operations-heavy environments where data directly impacts daily business decisions

Deep expertise in data modeling with dbt—you understand how to model around the deficiencies and quirks of upstream operational systems

Strong written and verbal communication skills—comfortable writing clear documentation, effective AI prompts, and explaining technical concepts to non-technical stakeholders

High proficiency in SQL, Python, and modern data stack technologies (Snowflake, Fivetran, Dagster/Airflow, dbt)

Deep understanding of the principles and challenges of ensuring high availability, fault tolerance, and efficiency in distributed data systems

A keen ability to strike a balance between elegant design and pragmatic tradeoffs, all while prioritizing continuous delivery of value to the business

Experience building data solutions in fast-moving startup environments

Strong analytical skills with an inherent curiosity to understand and solve complex business problems through data