Senior Data Engineer, AI & Data Platform

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities:

The Senior Data Engineer, AI & Data Platform will be responsible for designing, developing, and maintaining robust data infrastructure that enables analytics, AI applications, and data-driven decision-making across the organization.

• Own data initiatives end to end, from raw data ingestion through transformation, validation, deployment, and operational handoff.
• Design, build, and maintain scalable, reliable data pipelines that integrate data from multiple enterprise systems and external sources.
• Develop and optimize AI-ready data platforms, including data marketplaces, feature stores, embedding pipelines, and real-time data-serving layers.
• Build and maintain data models with strong foundations in quality, governance, accuracy, and usability for analytics and AI workloads.
• Create and support integrations that enable AI applications and intelligent tools to securely access trusted data.
• Partner with data science, product, engineering, and business teams to operationalize machine learning models and AI solutions.
• Implement data governance practices, including access controls, compliance requirements, lineage tracking, monitoring, and quality frameworks.
• Improve engineering processes through automation, documentation, observability, and modern development practices.
• Adapt quickly across projects, learning new business domains and delivering production-grade solutions in a dynamic environment.

Requirements:

The ideal candidate brings strong data engineering expertise, experience with AI-enabled platforms, and the ability to operate independently in complex technical environments.

• 5+ years of professional experience building and operating production data platforms and pipelines.
• Strong expertise with Databricks, Spark, or similar distributed data processing technologies.
• Advanced SQL skills and proven experience with data modeling, including analytical schemas, data quality, keys, relationships, and governance.
• Proficiency in Python and experience with workflow orchestration tools such as Airflow, Dagster, or Databricks Workflows.
• Experience working with cloud data platforms such as Azure data services, AWS, or Google Cloud environments.
• Hands-on experience building infrastructure that supports AI/ML workflows, including feature stores, training pipelines, embeddings, and model serving.
• Familiarity with modern AI architectures such as RAG systems, vector databases, LLM integrations, and AI agent frameworks.
• Experience using AI-assisted engineering tools to improve development workflows, research, debugging, documentation, or architecture design.
• Strong understanding of data governance principles, responsible AI practices, security, and compliance requirements.
• Ability to manage ambiguity, prioritize effectively, and take ownership of projects from concept to completion.
• Strong communication skills with the ability to explain technical decisions to both technical and business stakeholders.
• Experience in real estate, financial services, asset management, or similarly complex data environments is a plus.

Benefits:

• Competitive annual salary range of $115,000 - $135,000 USD.
• Potential eligibility for performance-based bonus programs.
• Comprehensive medical, dental, vision, disability, and life insurance coverage.
• Paid time off, personal days, sick leave, and company holidays.
• 401(k) plan with company match up to 6% after eligibility requirements are met.
• Paid parental leave and fertility benefit reimbursement.
• Employee assistance program and additional wellness resources.
• Optional benefits including critical illness, accident, hospital indemnity, pet insurance, and legal plans.
• Charitable giving programs and employee support initiatives.
• Fully remote work opportunity available across the United States (excluding Alaska).