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Euless, Texas, United States
Remote only
For nearly 20 years, TheKey has helped clients achieve successful long-term aging at home with comprehensive, concierge-based care. Ensuring the dignity, safety, and independence of its clients, TheKey is committed to changing how the world lives and ages at home. Employee-teams get the training, resources, and support they need to deliver an exceptional care experience for clients and their families. Founded in Silicon Valley, TheKey has grown from a single location to service coverage throughout North America enabling clients to live life on their own terms, in their own homes.
AI-Driven Platform Strategy
Contribute to and execute a roadmap that positions TheKey's data platform as AI-ready — well-structured, richly documented, and accessible for machine learning and generative AI use cases.
Champion the adoption of AI and automation tools within the data engineering team to increase delivery velocity and reduce manual effort.
Partner with business and technology stakeholders to align platform capabilities with analytics and AI initiatives.
AI-Ready Data Architecture
Lead the design and governance of a metadata-rich data lake in Google BigQuery, ensuring datasets are tagged, documented, and contextualized so AI models and analytics tools can effectively interpret and utilize the data.
Establish and enforce standards for data cataloging, semantic tagging, lineage tracking, and business glossary definitions to maximize AI discoverability and usability.
Drive adoption of tools such as Google Dataplex or equivalent for automated metadata management and data quality enforcement.
AI-Augmented Data Engineering
Build and maintain scalable data pipelines, leveraging AI-assisted development tools (e.g., Gemini Code Assist, GitHub Copilot, or similar) to accelerate development and reduce errors.
Implement AI-driven testing and observability frameworks to automatically validate pipeline outputs, detect anomalies, and enforce data quality — reducing reliance on manual QA.
Automate repetitive data engineering workstreams — including ingestion, transformation, and delivery — using orchestration tools and AI-assisted scripting.
Data Governance & Compliance
Define and enforce data governance frameworks that support both regulatory compliance and AI readiness — including data quality standards, access controls, retention policies, and privacy requirements.
Ensure all data assets are properly classified, documented, and governed so they can be safely and effectively used in AI and analytics applications.
Proactively identify and reduce technical debt in legacy data processes and structures.
Master Data Management
Own master data management practices to ensure accuracy, consistency, and a single source of truth for critical business entities.
Enrich master data with metadata and contextual attributes that improve usability for downstream AI and reporting tools.
Team Leadership
Directly manage a team of data engineers — providing mentorship, clear expectations, and career development support.
Foster a culture of continuous learning, experimentation with AI tools, and engineering excellence.
Conduct regular 1:1s, performance reviews, and workload prioritization to keep the team focused and productive.
Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field.
5+ years of experience in data engineering, with at least 1–2 years in a team lead or people management capacity.
Hands-on expertise with Google BigQuery and the broader Google Cloud data ecosystem (Dataflow, Pub/Sub, Dataplex, Looker, etc.).
Demonstrated experience building and managing cloud-native data pipelines and ELT/ETL processes at scale.
Working knowledge of AI/ML workflows and what it takes to prepare data for model training, RAG pipelines, or AI-powered analytics.
Experience implementing data catalogs, metadata frameworks, and data lineage tooling.
Familiarity with AI-assisted development tools and a track record of integrating them into engineering workflows.
Strong data governance background including security, compliance, and quality frameworks.
Strong communication and stakeholder management skills.
Google Cloud Professional Data Engineer certification.
Experience with dbt (data build tool) for transformation layer management.
Familiarity with vector databases or embedding pipelines in support of generative AI use cases.
Experience with DataOps practices and pipeline observability tooling.
Exposure to agentic AI frameworks or LLM orchestration tools (Vertex AI Agent Builder, LangChain, etc.).
Physical Requirements:
Ability to travel approximately up to 10% of the time
Ability to lift and carry up to 15-20 pounds
Ability to sit, stand and walk for prolonged period of time throughout the work day
Ability to use standard office equipment such as personal computer, laptop, telephone, photocopy machine, etc.
The information contained here is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor is it intended to be an all-inclusive list of the skills and abilities required to do the job. Reasonable accommodations may be made to assist qualified disabled persons to perform the essential functions of the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The job description does not constitute an employment agreement between the employer and employee and is subject to change by the employer as the needs of the employer and requirements of the job change.
Benefits for full time employees
TheKey is an equal opportunity employer. TheKey prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, age, national origin, disability status, protected veteran status, or any other characteristic protected by law.
California Residents Only:
In accordance with Article 2 of the California Health and Safety Code - California Community Care Facilities Act, TheKey requires timely and accurate positive fingerprint identification of California based applicants as a condition of employment. If an applicant has been convicted of a non-exemptible crime, and in compliance with all applicable state and local laws, their conditional offer will be rescinded.
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