Jobs Scraper (Multi-Board)

{
  "type": "json",
  "example": {
    "items": [
      {
        "url": "https://www.linkedin.com/jobs/view/4473921787",
        "board": "linkedin",
        "jobId": "4473921787",
        "title": "Databricks Data Engineer",
        "salary": null,
        "company": "Deloitte",
        "country": "US",
        "jobType": "Full-time",
        "location": "Austin, TX",
        "postedAt": "2026-10-22",
        "workplace": null,
        "companySize": null,
        "description": "Join Deloitte's Core AI & Data practice and help organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities. As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and technology teams to modernize data environments, support analytics and artificial intelligence use cases, and deliver measurable business outcomes. This role offers the opportunity to help clients implement enterprise-scale Databricks solutions that improve platform performance and expand data-driven decision-making.  Recruiting for this role ends on 10/30/2026.  Work you'll do  As a Data Engineer II on the AI & Data team, you will be responsible for:    Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL)   Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns   Develop and maintain batch and streaming data workflows that support reporting, analytics, and artificial intelligence use cases   Apply data architecture, integration, and data modeling practices to improve data quality, scalability, and platform performance   Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support delivery of large-scale data transformation programs    A successful candidate would possess these skills:    Ability to work independently and collaborate as part of a team   Effective written and verbal communication skills   Meticulous attention to detail and quality of work product   Ability to build and sustain professional relationships   Ability to lead projects or workstreams   Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment   Strong interpersonal skills and professional demeanor   Ability to meet deadlines   Ability to provide clear guidance to others    The team  Deloitte's Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business. The team works with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation. Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery.   Qualifications   Required:    Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics   3+ years of experience in data engineering, extract, transform, load (ETL) development, or data platform engineering   2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and Structured Query Language (SQL)   Experience implementing data models, data integration patterns, and cloud-based data processing workflows   Experience working with at least one cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)   Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.   Limited immigration sponsorship may be available.     Preferred:    Experience with Delta Lake, Databricks Workflows, and Unity Catalog   Experience using Git-based version control and continuous integration/continuous deployment pipelines   Experience supporting batch and streaming data workloads   Experience with data warehousing, lakehouse architecture, and performance optimization   Experience supporting analytics or machine learning data pipelines   Experience working in consulting or client service delivery environments    The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,700 to $170,900.  Information for applicants with a need for accommodation:  https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...",
        "companyWebsite": null
      }
    ]
  }
}