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Washington, D.C.

    Lead Data Engineer - Washington, United States - CAVA - Support Center

    CAVA - Support Center
    CAVA - Support Center Washington, United States

    3 weeks ago

    Default job background
    Full time
    Description

    Company Profile:

    At CAVA we make it deliciously simple to eat well and feel good every
    day. We are guided by a Mediterranean heritage that's been
    perfecting how to eat and live for four thousand years. We prioritize
    authenticity, curiosity and the pursuit of excellence in everything we do. We
    are working towards something big, together.

    We foster a culture built on five core
    values:

    • Generosity First, Always:
      We lead with kindness. Our best work happens when we act
      in service of others.
    • Constant Curiosity: We
      are eager to learn, grow, and explore beyond the obvious.
    • Act with Agility: We
      welcome change; it's the only constant. We embrace, adjust, adapt.
    • Passion for Positivity: We
      greet each day with warmth and possibility.
    • Collective Ambition: We
      have high aspirations that are achieved when we work together with a shared
      purpose.

    Lead Data Engineer, Big Data Engineering

    Lead Data Engineer position is a key engineering role
    helping us to design, build, and support our future state data platform here at
    CAVA. In this role you will be expected
    to spearhead the design, development, and implementation of our next-generation
    data architecture, while leading and coaching junior engineers. This role also requires a combination of
    technical expertise & strategic thinking as you will be collaborating
    closely with cross-functional teams, including data scientists, analysts, and
    software engineers, to bridge the gap between business requirements and
    technical solutions.

    What You'll Do:

    • Engineer
      an innovative, durable, robust, and economically viable data platform enabling
      business velocity, delightful user experiences, and timely/meaningful analytics
    • Design
      and develop data pipelines to manage how data flows between disparate
      systems.
    • Develop
      data quality metrics and perform QC tests (system and visual) to verify data
      integrity.
    • Interface
      with architects, product managers/SMEs and product analysts to understand data
      needs and support the implementation of the business rules into
      transformation.
    • Document
      the data blending process along with the specifications and workflow/data
      lineage.
    • Perform
      continuous integration to ensure that every step of the pipeline is testable
      and automated
    • Perform
      detailed design (the Physical Data Model and transformations), based on
      understanding of the Logical Data Model (the business requirements)
    • Create
      design documents for data integration or data reporting projects
    • Analyze
      data integration problems, provide solutions and recommend corrective
      actions.
    • Analyze
      source system data structures and map them to target data warehouse
      schemas.
    • Must
      have excellent skills in requirements analysis, logical/physical modeling, data
      transformation and data modeling and technical governance design
      concepts.
    • Participate
      in design and code reviews, documentation of design, and implementation of
      methodologies to ensure high quality deployments
    • Stay
      updated with the latest industry trends and technologies, apply them to improve
      software development processes.
    • Ensure
      security and data protection measures are implemented within software
      applications.

    The Qualifications:

    • 6+
      years of experience as a Data Engineer, with at least 3 years in a lead role.
    • Experience
      and Comfort working with large scale data sets.
      Petabyte scale, with daily ingress and egress numbers in the 10's of
      Terabytes
    • Proven
      experience designing and implementing data architectures on AWS, Azure, or
      GCP.
    • Expertise
      in managed cloud services for data storage, ingestion, and processing. Will need to articulate the services used for
      various stages of the data lifecycle.
    • Strong
      proficiency in Python, R, Scala, or Java
    • Experience
      with notebook environments and big data engineering tools such as: Databricks, Sage Maker, Google Colab, Jupyter, etc
    • Hands
      on experience with streaming tools such as:
      Kafka, Flume, Spark Streaming, or Flink
    • Believer
      in day one thinking and first principles engineering
    • Ability
      to work with and geographically disperse teams, both on and offshore
    • Willingness
      to work in 24x7 model when required.
      Expectation is that you support the code and products yourself and your
      team create
    • Occasional
      Travel Required

    Physical Requirements:

    • Ability
      to maintain stationary position to be able to operate a computer and other
      office equipment
    • Must
      be able to identify, analyze and assess details
    • For
      certain positions, must be able to occasionally move or transport items up to
      50 pounds
    • Ability
      to communicate with others and exchange information accurately and effectively
    • Constantly
      positions self and move about to support ordinary restaurant or food production
      support or office operations, as applicable
    • Ability
      to work in a constant state of alertness and in a safe manner

    What
    we offer:

    • Competitive salary, plus bonus and
      long-term incentives*
    • Early Wage Access*
    • Unlimited PTO, paid parental leave, plus
      paid opportunities to give back to the community
    • Health,
      Dental, Vision, Telemedicine, Pet Insurance plus more
    • 401k
      enrollment with CAVA contribution
    • Company-paid
      STD, LTD, Life and AD&D coverage for salaried positions*
    • Free
      CAVA food
    • Casual
      work environment
    • The opportunity to be on the ground floor
      of a rapidly growing brand

    *Indicates qualifying eligible positions
    only

    CAVA
    – Joining "A culture, not a concept"

    This job description is not intended to be a
    comprehensive list of all the duties and responsibilities of the position and
    such duties and responsibilities may change without notice.

    As
    an equal opportunity employer, CAVA considers applicants for all positions
    without regard to race, color, sex, religion, national origin, disability, age,
    height, weight, marital status, sexual orientation, familial status, genetic
    information or any other characteristic or protected classes as defined by
    federal, state, or local law.

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