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Lead Data Engineer

4 months ago

Washington, United States CAVA - Support Center Full time

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.