ABOUT US

Fashion Nova is an inclusive fashion-forward and trend-driven apparel and lifestyle brand that celebrates all dimensions of confidence. We use our platform to spread positivity with brands for women, men, curve, luxe, sport, swim, beauty, and kids. We are obsessed with creating the best experience available for our customers and employees.

Fashion Nova was built on the backbone of individuality and inclusiveness. Our brands are worn and celebrated worldwide by customers, celebrities, and influencers because of our uniquely creative and talented employees.

ROLE OVERVIEW 

We are searching for a skilled and passionate Data Engineer to join our Data & Analytics team. You will be a key contributor to building and maintaining our data infrastructure, ensuring efficient data flow, and enabling data-driven decision-making across the organization. This role offers the opportunity to work with a massive dataset across various domains including product information, customer behavior, sales, and marketing campaigns.

Responsibilities

Design, develop, and maintain data pipelines for ingesting, processing, and storing data from various sources, including website interactions, third-party integrations, and internal data systems. Implement and manage data warehousing solutions, including relational databases and cloud data platforms. Build and optimize data models and schemas to support business intelligence, reporting, and machine learning initiatives. Develop and maintain data quality processes, ensuring data accuracy and consistency across the platform. Collaborate closely with data analysts, data scientists, and business stakeholders to understand their data needs and translate them into actionable solutions. Automate cron jobs and scheduled tasks related to data processing and pipeline execution. Demonstrate proficiency in building interactive dashboards using tools like Tableau or Looker. Implement and maintain data security measures to protect sensitive information. Stay abreast of emerging data technologies and trends, and proactively suggest improvements to our data infrastructure. Contribute to the overall development of the data engineering team.

Qualifications

Bachelor's degree in Computer Science, Engineering, or a related field. 2+ years of experience as a Data Engineer or a similar role. Strong proficiency in SQL and experience with various data warehousing and data processing technologies (e.g., Snowflake, BigQuery). Experience with cloud platforms like AWS, Azure, or GCP, and familiarity with cloud data services. Advanced Python skills with a focus on data manipulation using dataframes (e.g., Pandas). Experience in building interactive dashboards using tools like Tableau or Looker. Understanding of data modeling techniques and experience with different data structures. Ability to work independently and collaboratively in a fast-paced environment. Strong analytical and problem-solving skills. Excellent communication and documentation skills. Passion for the fashion industry and e-commerce is a plusImplement and maintain data security measures to protect sensitive information.

BENEFITS 

Formalized career paths Flat management platform Manager Training Academy Creative Development Internship Program Fashion Nova Cares Program Flexible Paid Time Off (PTO) Medical, Dental and Vision Coverage 401k match, with immediate vesting upon eligibility Stocked kitchens with gratis snacks and drinks Weekly catered lunches Summer Fridays at Headquarters Team bonding events and programs Employee discounts

Fashion Nova, LLC, and subsidiaries thereof, is an Equal Opportunity Employer. We are steadfast in our commitment to equal employment opportunities and pledge that these objectives are reflected in all aspects of our daily operations. We will continue to recruit, hire, train, and advance in employment qualified individuals in all job titles without regard to race, color, national origin, gender, sexual orientation, gender identity, religion, age, status as a protected veteran, criminal history, or status as an individual with a disability; and shall not discriminate against any individual, any such characteristic, nor any other classification protected by local, state and|or federal law.