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Deloitte Data Engineer in Austin, Texas

Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery. PDM practitioners are local to project locations, minimizing extensive travel, and provides you with a full career path within the firm.

Work you'll do/Responsibilities

  • Be part of a team that will provide services in Data Engineering and Analytics functions in different parts of our client's business providing the augmented strength to support the project delivery and execution

  • Help the client deliver their commitments and bolster your business and technical skills by working in a collaborative environment.

    The Team

    In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

    The Analytics & Cognitive team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

    Analytics & Cognitive will work with our clients to:

  • Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms

  • Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions

  • Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements

    Qualifications

    Required

  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience

  • 4+ years of experience in Data Engineering

  • Strong experience with Big Data Stack and Data Analytics

  • Must have experience with Python, Spark, Java, SQL and Hive

  • Limited immigration sponsorship may be available

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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