Senior 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 25, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 26 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, 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 Senior Data Engineer to join our dynamic team. The Sr. 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. ResponsibilitiesDesign and build scalable data pipeline architecture that can handle large volumes of dataDevelop ELT/ETL pipelines to extract, load and transform data from various sources into our data warehouseOptimize and maintain the data infrastructure to ensure high availability and performanceCollaborate with data scientists and analysts to identify and implement improvements to our data pipeline and modelsDevelop and maintain data models to support business needsEnsure data security and compliance with data governance policiesIdentify and troubleshoot data quality issuesAutomate and streamline processes related to data managementStay 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 strategyAssist in extracting or researching data for cross-functional business partners for consumer insights, supply chain, and finance teamsEnhance the efficiency, automation, and accuracy of existing reportsFollow best practices in data querying and manipulation to ensure data integrity RequirementsBachelor's or Master's degree in Computer Science, Data Science, or a related fieldMust have 15+ years of experience as a Data Engineer or related roleMust have experience with Snowflake.Strong Snowflake experience building, maintaining and documenting data pipelinesExpertise in Snowflake concepts like RBAC management, virtual warehouse, file format, streams, zero copy clone, time travel and understand how to use these featuresStrong SQL development experience including SQL queries and stored proceduresStrong knowledge of ELT/ETL no-code/low-code tools like Informatica / SnapLogic.Well versed in data standardization, cleansing, enrichment, and modelingProficiency in one or more programming languages such as Python, Java, or C#Experience with cloud computing platforms such as AWS, Azure, or GCPKnowledge of ELT/ETL processes, data warehousing, and data modelingFamiliarity with data security and governance best practicesExcellent hands-on experience in problem-solving and analytical skills and improving the performance of processesStrong communication and collaboration skills Minimum work experience15 Maximum work experience20 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. e.l.f. Beauty respects your privacy. Please see our Job Applicant Privacy Notice ) for how your personal information is used and shared. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.