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    Manager, Data Engineering - Salt Lake City, United States - 1-800 CONTACTS

    1-800 CONTACTS
    1-800 CONTACTS Salt Lake City, United States

    3 weeks ago

    Default job background
    Full time
    Description

    Who we are

    SeekWell is the parent company of 1-800 Contacts, Luna, and Hello Eyes. Our goal is to make it simpler, easier, and more accessible for people to get the vision care they need. We maintain the legendary, award-winning culture 1-800 Contacts started almost 30 years ago and continue to develop innovative, disruptive products and businesses that make consumers cheer and optometrists squirm. We're owned by KKR – one of the world's largest and most successful private equity investment companies. We've built a great company and changed an industry by putting the customer first, always. The best is yet to come.

    Why you want this job

    • You love working with data and seeing people use data to make decisions.
    • You love leading and mentoring data engineers and analysts.
    • You love setting standards for how data is managed and transformed.
    • You want to lead a team that will influence how the company thinks about data.
    • You enjoy working with business analysts to understand their needs and give them a data product that will meet their needs.
    • You want to be part of a team that will raise the Data IQ of the entire company.
    • You want to be part of a team that loves data as much as you do.

    Why you'll love us

    If you have a desire to make a company better through data, then you'll love it here. We need someone that can help us use big data technologies such as Kafka and Databricks to modernize our data infrastructure and transition to an event-driven architecture. Our team is focused on improving the company's data and raising the data IQ of everyone that uses it. We are committed to providing high quality, timely data to analysts and other data consumers. If you love data, you will love us.

    What you'll do

    • Work with a team that designs, builds, maintains, and optimizes a real-time, event-driven data processes in AWS.
    • Lead a center of excellence for a horizontal analytics and data engineering team(s).
    • Ensure proper execution and alignment with data vision and objectives
    • Take lead in strategies to acquire, store, process, and transform data across the entire enterprise.
    • Share your knowledge of data engineering and analytics with the rest of your team and mentor application developers in best practices in developing real time data solutions.
    • Ensure all systems and processes are fully monitored and metrics captured to analyze system and data pipeline performance.
    • Design end-to-end solutions to support key business datasets.
    • Support analysts and data scientists and business users with their data requirements.
    • Data modelling for production applications.
    • Contribute to continuous improvement of all data-related platforms and solutions
    • Drive the adoption of best practices in data governance, data management, and data security.
    • Develop and maintain performance metrics and KPIs to measure the effectiveness of data engineering and analytics efforts.
    • Stay abreast of industry trends and emerging technologies in data engineering and analytics to drive continuous improvement.

    Why we will love you

    • 3+ years of leadership experience managing high-performing technical teams centered in a culture of excellence.
    • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field is preferred.
    • 7+ years of experience in data engineering, analytics, or a related field, with a focus on managing complex data projects and leading teams.
    • Expert in programming languages commonly used in data engineering and analytics, such as Python, SQL, R, or Scala.
    • Experience designing and implementing data architecture strategies that support the collection, storage, and analysis of large volumes of structured and unstructured data on analytical platforms (e.g., Databricks, Snowflake).
    • Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (e.g., AWS, Azure, GCP).
    • Demonstrated expertise in implementing advanced analytics techniques, such as machine learning, predictive modeling, and data visualization.
    • Hands-on experience with ML model training, evaluation, and deployment, using frameworks like TensorFlow, PyTorch, or scikit-learn.
    • Familiarity with deployment technologies and frameworks for scalable and reliable ML model serving, such as Kubernetes, Docker, or TensorFlow Serving.
    • Excellent leadership, communication, and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making at all levels of the organization.
    • Proven track record of delivering high-quality, actionable insights that drive business value and inform strategic decision-making. Oversee data quality initiatives to ensure accuracy, completeness, and consistency of data assets.

    Who you are

    • Humble, hungry, and smart
    • Technical aptitude
    • Resourceful
    • Self-motivated
    • Collaborative

    Perks

    • Free eye exams for your entire family
    • Deep discounts on lenses, glasses, and other services
    • Amazing healthcare coverage
    • 401(k) match
    • Flexible PTO
    • Tuition reimbursement program
    • In-house restaurant with highly discounted meals (Steak dinner under $6)
    • Free snacks, ice cream, and drinks every day
    • Full onsite gym

    #LI-Hybrid

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