
1001 - 5000 employees
Founded 1972
π Transport
π§ Hardware
π₯ B2C
Transport β’ Hardware β’ B2C
BraunAbility is a global leader in life-changing mobility solutions that designs, manufactures, and sells wheelchair-accessible vehicles, conversion vans, wheelchair lifts, seating, securement and storage systems, and related mobility products and services. For over 50 years the company serves consumers and commercial customers through an authorized dealer network, offering new and used accessible vehicles, rentals, financing and grants guidance, one-on-one product support, maintenance and warranty services to improve accessibility and independence.
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1001 - 5000 employees
Founded 1972
π Transport
π§ Hardware
π₯ B2C
Transport β’ Hardware β’ B2C
BraunAbility is a global leader in life-changing mobility solutions that designs, manufactures, and sells wheelchair-accessible vehicles, conversion vans, wheelchair lifts, seating, securement and storage systems, and related mobility products and services. For over 50 years the company serves consumers and commercial customers through an authorized dealer network, offering new and used accessible vehicles, rentals, financing and grants guidance, one-on-one product support, maintenance and warranty services to improve accessibility and independence.
β’ Build, optimize, and maintain the data pipelines that feed BAA's AI solutions β’ Automate the ingestion and structuring of unstructured data to enable highly accurate Retrieval-Augmented Generation (RAG) architectures β’ Map complex enterprise data schemas to support the cognitive architecture β’ Design and implement strict Role-Based Access Control (RBAC) and enterprise security protocols within the AI environment β’ Monitor data flows for system drift, broken APIs, or context collapse β’ Establish and maintain Service Level Agreements (SLAs) for pipeline uptime β’ Develop secure API integrations between enterprise AI platforms and BAA's existing technology stack
β’ Bachelorβs degree and minimum of 6 years of related work experience required β’ 3+ years of experience in data engineering, data architecture, or database administration within an enterprise environment β’ Deep technical expertise working with SQL, enterprise data lakes, and ETL/ELT pipeline construction β’ Strong proficiency in building and securing API integrations between disparate cloud and on-premises systems β’ Experience implementing strict security frameworks and Role-Based Access Controls (RBAC) at the database and application layer β’ Exceptional troubleshooting and debugging skills β able to independently diagnose integration issues across legacy platforms without waiting for vendor support β’ Comfort operating in a small, fast-moving team where you own entire workstreams end-to-end without layers of specialization or handoffs.
β’ Health insurance β’ Paid time off
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