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    Software Engineer, Data - San Jose, United States - Money Fit by DRS

    Money Fit by DRS
    Money Fit by DRS San Jose, United States

    18 hours ago

    Default job background
    Description
    OpenStore is reimagining the future of e-commerce.

    Leveraging technology and our expertise in operating the most Shopify stores in the world, we acquire stores and offer managed services to Shopify entrepreneurs.

    In doing so, we've provided millions of dollars to entrepreneurs all over the country, helping them turn their stores into passive income and freeing up their time to start something new.

    In the near future, we're bringing spontaneous discovery to online shopping through a consumer marketplace.

    Our company was started in 2021 by top investor and operator, Keith Rabois, and is backed with $150M+ from investors such as Atomic, Founders Fund, General Catalyst, Khosla Ventures and Lux Capital.

    At the heart of OpenStore's mission lies the commitment to deliver an enriching and delightful online shopping journey. Achieving this vision hinges upon a cutting-edge, adaptable, and trustworthy data system that underpins every facet of the business.

    This system ensures that all business operations can rely on it with utmost confidence, enabling the creation of serendipitous and enjoyable experiences for customers.

    OpenStore employs a distinctive approach, acquiring and managing numerous direct-to-consumer Shopify brands. Data lies at the heart of OpenStore's strategy.

    We meticulously gather Shopify sales data, product attributes, customer demographics, financial records, advertising placements, website traffic, and other pertinent information to create a comprehensive understanding of a diverse range of digital merchants and their customer bases.

    This encompasses various analyses such as sales funnel evaluation, ad effectiveness assessment, conversion enhancement strategies, and operational cost efficiency measures, among others.

    At OpenStore, our data engineering team empowers data scientists, analysts, and business units to unlock invaluable insights that redefine the ecommerce landscape.

    We're actively seeking talented Senior Data Engineers to join our dynamic team. Our ideal candidate is a sharp, innovative problem solver who thrives on collaboration and excels in identifying impactful opportunities. In this role, you'll spearhead the design, development, and upkeep of scalable data pipelines and infrastructure.

    Working closely with cross-functional teams, you'll translate data needs into robust solutions that fuel business innovation and drive actionable insights.

    Join us in shaping the future of ecommerce through cutting-edge data engineering

    What You'll Do :
    Design, build, and optimize end-to-end data pipelines to collect, process, and store large volumes of structured and unstructured data from various sources

    Design and implement scalable data models and architectures to support data warehousing, analytics, and reporting needs. Ensure data integrity, consistency, reliability and performance

    Integrate data from multiple sources, both internal and external, ensuring compatibility and reliability. Implement ETL processes and tools for efficient data extraction, transformation, and loading

    Manage and optimize AWS cloud-based data infrastructure including storage, compute, and networking resources. Implement best practices for security, scalability, and performance

    Identify and resolve performance bottlenecks in data pipelines and systems. Implement monitoring, logging, and alerting mechanisms to ensure high availability and reliability of data infrastructure

    Collaborate with cross-functional teams including data scientists, analysts, software engineers, and business stakeholders to understand data requirements and deliver solutions that meet business objectives

    Communicate effectively with technical and non-technical stakeholders

    Provide guidance and mentorship to other team members. Lead by example in adopting best practices, promoting continuous learning, and fostering a culture of innovation and collaboration


    Who You Are :
    You like to build and ship . You have strong opinions grounded in logic and can drive forward to delivery. You think strategically about prioritization

    You care about tangible results . You will break through walls in order to deliver impact with high agency

    You are curious . You like to independently research the current ecosystem of methods and algorithms in order to bring new ideas to the table

    You thrive in fast-paced environments . You will iterate with engineers, scientists, analysts, and business teams to focus on high impact work and deliver quickly

    You are analytically rigorous . You have a deep bias towards using data and analyses to drive decisions

    You've done it before . You've worked with at scale data systems, engineered well designed and cost efficient data solutions, and swiftly responded to identified issues to mitigate them in a timely manner


    What You Have :
    Bachelor's or Master's degree in Computer Science, Engineering, or related field

    4+ years of experience in data engineering, with a focus on building and maintaining scalable data pipelines and infrastructure

    Proficiency in programming languages such as Python, Java, SQL, or Scala

    Strong understanding of data processing technologies and distributed computing frameworks (e.g. Hadoop, Hive, Airflow, Spark, DBT, Kafka, Flink)

    Experience with cloud platforms such as AWS, Azure, or GCP, and related services (e.g. S3, Snowflake, BigQuery)

    Hands-on experience with database systems (e.g. SQL, NoSQL, vector, search) and data warehousing solutions (e.g. Snowflake, Redshift, BigQuery)

    Familiarity with containerization and orchestration technologies (e.g. Docker, Kubernetes) is a plus

    Excellent problem-solving skills and attention to detail

    Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment

    Comfort working as both a data analyst and an backend engineer when needed

    Experience in an engineering-rich environment

    Ambitious, eager, adaptable, and scrappy approach to creating value

    Nice to have:
    ML ops experience

    OpenStore is a proud Equal Opportunity Employer where we welcome and celebrate differences.

    We are committed to providing a workspace that is safe and inclusive, where everyone feels supported, connected, and inspired to do their best work.

    If you require any accommodations to participate in our recruitment process, please inform us of your needs when we contact you to schedule an interview.


    Compensation Range:
    $140K - $200K

    #J-18808-Ljbffr
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