Senior Data Engineer, AI & Data Platform

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer, AI & Data Platform based in United States.

This is a high-impact opportunity for a Senior Data Engineer to build the data foundation behind next-generation AI-powered products and analytics. You will design and operate scalable data platforms that transform complex information into trusted, AI-ready assets. The role combines advanced data engineering, AI infrastructure, and business collaboration within a fast-moving technology environment. You will work across multiple initiatives, owning solutions from data ingestion through production deployment and operational handoff. This position offers the opportunity to influence how data is used across a large global organization and shape modern AI capabilities. You will collaborate with talented engineers, product leaders, and business teams while solving challenging, real-world problems.

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).

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1