Data Engineer

About the Company

e.l.f. Beauty, Inc. stands with every eye, lip, face and paw. Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.l.f. Cosmetics since 2004 and driven our portfolio expansion. Today, our multi-brand portfolio includes e.l.f. Cosmetics, e.l.f. SKIN, pioneering clean beauty brand Well People, Keys Soulcare, a groundbreaking lifestyle beauty brand created with Alicia Keys and Naturium, high-performance, biocompatible, clinically-effective and accessible skincare.

In our Fiscal year 24, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 24 consecutive quarters of net sales growth. We are the #2 mass cosmetics brand in the US and are the fastest growing mass cosmetics brand among the top 5. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last four fiscal years), equity, flexible time off, year-round half-day Fridays, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry.

Visit our Career Page to learn more about our team:

Position Summary

We are seeking a skilled Data Engineer to join our dynamic team. The Data Engineer will be responsible for designing, developing, and maintaining our data pipelines, integrations, and data warehouse infrastructure. The successful candidate will work closely with data scientists, analysts, and business stakeholders to ensure that our data is accurate, secure, and accessible for all users.

• Design and build scalable data pipeline architecture that can handle large volumes of data
• Develop ELT/ETL pipelines to extract, load and transform data from various sources into our data warehouse
• Optimize and maintain the data infrastructure to ensure high availability and performance
• Collaborate with data scientists and analysts to identify and implement improvements to our data pipeline and models
• Develop and maintain data models to support business needs
• Ensure data security and compliance with data governance policies
• Identify and troubleshoot data quality issues
• Automate and streamline processes related to data management
• Stay up-to-date with emerging data technologies and trends to ensure the continuous improvement of our data infrastructure and architecture.
• Analyze the data products and requirements to align with data strategy
• Assist in extracting or researching data for cross-functional business partners for consumer insights, supply chain, and finance teams
• Enhance the efficiency, automation, and accuracy of existing reports
• Follow best practices in data querying and manipulation to ensure data integrity

• Bachelor's or master's degree in computer science, Data Science, or a related field
• Must have 8+ years of experience as a Snowflake Data Engineer or related role
• Must have experience with Snowflake
• Strong Snowflake experience building, maintaining and documenting data pipelines
• Expertise in Snowflake concepts like RBAC management, virtual warehouse, file format, streams, zero copy clone, time travel and understand how to use these features
• Strong SQL development experience including SQL queries and stored procedures
• Strong knowledge of ELT/ETL no-code/low-code tools like Informatica / SnapLogic.
• Well versed in data standardization, cleansing, enrichment, and modeling
• Proficiency in one or more programming languages such as Python, Java, or C#
• Experience with cloud computing platforms such as AWS, Azure, or GCP
• Knowledge of ELT/ETL processes, data warehousing, and data modeling
• Familiarity with data security and governance best practices
• Excellent hands-on experience in problem-solving and analytical skills and improving the performance of processes
• Strong communication and collaboration skills

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This job description is intended to describe the general nature and level of work being performed in this position. It also reflects the general details considered necessary to describe the principal functions of the job identified, and shall not be considered, as detailed description of all the work required inherent in the job. It is not an exhaustive list of responsibilities, and it is subject to changes and exceptions at the supervisors' discretion.

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