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Data Engineer

Evolus is a performance beauty company with a customer-centric approach focused on delivering breakthrough products. We are looking for an enthusiastic person with strong data engineering and analytical skills to join our team and support data and analytics initiatives across Evolus's global business functions. The Data Engineer’s role is to integrate data from a variety of internal and external sources into a common warehouse data model.  This is a technical role that involves building and maintaining ELT data pipelines, recommend and implement appropriate data models and be comfortable in a DataOps environment.  We are looking for someone with a consultative mindset to be able to interact with business and analytics team and help drive value to business. Data ecosystem is an evolving space, and we expect and encourage innovation and thought leadership. If you are looking for an opportunity to showcase your abilities while growing in your career, then look no further!  In this role, you will be challenged to drive the success of Evolus in building a brand like no other. 
Let’s talk about some of the key responsibilities of the role: 
  • Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models 
  • Design, develop Snowflake data warehouse using dbt or any other ELT tool to extend the Enterprise Dimensional Model 
  • Contribute to planning and prioritization discussion 
  • Break down and architect the most complex data engineering problems to deliver insights that meets and ideally exceeds business needs 
  • Own and deliver solutions - from ingestion of sources to data products for end user consumption, from conceptual iteration to production support 
  • Deliver and ensure sustained performance of all data engineering pipelines and remediate where required 
  • Own source code management, documentation (technical and end user), and release planning for data engineering products; lean-in to DataOps, DevOps, and CI/CD to deliver reliable, tested, and scalable functionality through automation 
  • Identify and proactively manage risks to the data engineering platform 
Your Skills and Qualifications:  
  • Bachelor’s degree required 
  • 6+ years of experience in enterprise data solutions  
  • 4+ years in cloud-based data warehousing with strong SQL experience (Snowflake preferred) 
  • Experience building data pipelines using python and data orchestration tools like Apache Airflow 
  • Data extraction/transformation/orchestration tools such as Fivetran, dbt, Dataform, Airflow, Prefect, Kafka, Stitch and Matillion 
  • Deep understanding of data analysis, data modeling for visualization, and reporting 
  • Experience in DataOps and git or AzureDevOps and CI/CD pipelines 
  • Demonstrated experience with one or more of the following business subject areas: healthcare, marketing, finance, sales, product, customer success or engineering 
  • Experience performing root cause analysis for production issues and identify opportunities for improvement 
  • Passionate about writing clean, documented, and well-formed code and perform code reviews 
  • Keen attention to detail in planning, organization, and execution of tasks, while still seeing the big picture and understanding how all the pieces fit together and affect one another 
A Few Other Items Worth Mentioning: 
  • Office Location: Newport Beach (hybrid onsite Tuesday, Wednesday and Thursday)  
  • Position reports directly to our Executive Director, Data Engineering 
Compensation & Total Rewards
 
The expected pay range for this position is $114,000 to $142,000.  Your actual base salary will be determined on a case-by-case basis and may vary based on a number of considerations including but not limited to role relevant knowledge and skills, experience, education, certifications, and more.
 
We offer more than just a paycheck, and your base salary is just the start! Stay happy and healthy with our competitive suite of medical, dental and vision benefits to help you feel your best and be your best. We also provide those benefits you shouldn’t have to worry about, from employer covered life insurance to short-term disability. Take advantage of the 401k match offered by Evolus and let us invest in your future. You may also be eligible for new hire equity and long-term incentives in the form of RSUs, stock options, and/or discretionary bonuses.  We offer mental health and wellbeing resources for you to develop skills to find your calm, boost your confidence, and show up as your best self in work and life. Travel or relax and come back feeling refreshed with our flexible paid time off program for exempt employees and a paid time off accrual plan for non-exempt employees.  Did we mention the holiday soft closure between the Christmas and New Years holidays? We have that, too.  Additional perks include regularly catered team meals at our Evolus Headquarters, a fully stocked kitchen (Kombucha & Coffee included), and the opportunity to join an organization where our values of Grit, Impact, Fun, and Transparency are displayed daily.
Evolus takes pride in being a company on the forefront of innovation, while being committed to conducting its business with the highest degrees of integrity, professionalism, and social responsibility.  We are also committed to complying with all laws and regulations that apply to our business. Employee welfare is no different. Here at Evolus, we don’t just work together, we’ve built a culture of inclusion! Because of this, you’ll find yourself immersed in an environment that not only promotes respect, collaboration and team building, but a diverse community too. And that’s just the tip of the iceberg.  Join our team and see for yourself! EOE M/F/D/V. For more information, please visit our website at www.evolus.com. 
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CEO of Evolus
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David Moatazedi
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$128000 / YEARLY (est.)
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$114000K
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What You Should Know About Data Engineer, Evolus

Joining Evolus as a Data Engineer is an exciting opportunity for anyone eager to make a significant impact within a vibrant performance beauty organization. If you've got strong data engineering skills and an analytical mindset, you'll be welcomed into a dynamic team focused on harnessing data to drive business innovation. Your main role will revolve around integrating diverse data sources into a centralized data warehouse, ensuring seamless data flow from ingestion to user-friendly products. You’ll get your hands dirty with tasks like designing Snowflake data warehouses using modern ELT tools and architecting solutions that not only meet but also exceed business needs. If collaboration is your style, you’ll love working closely with various teams to gather requirements and define analytics outcomes, paving the way for insightful decision-making. In this role, your technical expertise will shine as you operate in a DataOps environment, tap into your creative problem-solving skills, and bring forth innovative data solutions. Evolus prides itself on being at the forefront of the beauty industry, and your contributions will help shape our brand like never before. With a flexible work environment and supportive culture that emphasizes creativity, integrity, and collaboration, Evolus isn’t just a job—it’s a chance to grow and thrive in your career while furnishing the future of beauty.

Frequently Asked Questions (FAQs) for Data Engineer Role at Evolus
What skills are necessary for the Data Engineer position at Evolus?

To excel as a Data Engineer at Evolus, you'll need strong SQL skills, particularly with cloud-based data warehousing like Snowflake. Additionally, hands-on experience using data orchestration tools such as Apache Airflow and Python for building data pipelines is essential. Understanding of data analysis, modeling for visualization, and a passion for clean coding will also set you up for success in this role.

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What does a typical day look like for a Data Engineer at Evolus?

A typical day for the Data Engineer at Evolus involves collaborating with cross-functional teams to collect business requirements and design data models. You'll be tasked with developing data pipelines, ensuring they operate optimally, addressing any challenges that arise, and contributing to planning discussions. You'll also have regular opportunities to innovate and take ownership of your projects.

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What are the career growth opportunities for a Data Engineer at Evolus?

At Evolus, as a Data Engineer, you can look forward to significant career growth. You’ll not only sharpen your technical skills but also have opportunities to step into leadership roles or specialize further in data engineering. The culture of innovation encourages you to experiment and explore, fostering both personal and professional development.

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What can I expect regarding the company culture at Evolus?

Evolus prides itself on an inclusive culture that embraces respect, collaboration, and team building. We ensure our values—Grit, Impact, Fun, and Transparency—are displayed daily. You’ll find a diverse community that encourages innovation and celebrates success together, making it a fantastic environment to work in.

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What unique benefits does Evolus offer Data Engineers?

Evolus offers a competitive suite of benefits that goes beyond just a paycheck. As a Data Engineer, you'll enjoy comprehensive health benefits, a generous 401k match, mental health resources, and flexible paid time off. Plus, catered team meals and a fully stocked kitchen create a fun environment that enhances your work-life balance.

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How should I prepare for my application to the Data Engineer position at Evolus?

When applying for the Data Engineer position at Evolus, ensure your resume reflects your relevant experience in data engineering. Highlight any projects that demonstrate your skills in SQL, data pipeline creation, and your understanding of cloud-based data architectures. Prepare to discuss your problem-solving approaches and showcase instances where you’ve driven positive business outcomes.

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Common Interview Questions for Data Engineer
What data engineering tools and technologies are you proficient in?

In this question, highlight your experience with tools like Snowflake, Apache Airflow, dbt, and any data orchestration tools. Be specific and provide examples of how you've used these technologies in past projects to deliver effective data solutions.

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Can you describe a challenging data problem you've solved?

When answering this question, choose a specific example that demonstrates your analytical thinking and problem-solving skills. Explain the context of the problem, the solution you implemented, and the impact it had on the business or project.

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How do you prioritize tasks when working on multiple data projects?

Detail your approach to task prioritization, considering factors such as project deadlines, business needs, and resource availability. Mention any specific tools or methodologies you use to keep track of your projects and ensure efficient delivery.

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How do you ensure data quality and integrity in your engineering work?

Discuss your strategies for ensuring data quality, including routine testing, code reviews, and leveraging DataOps principles. Emphasize your commitment to documenting processes and proactively addressing data issues.

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What are the best practices for maintaining data pipelines?

Provide insights into best practices such as regular monitoring, logging, and using automated testing for your pipelines. Talk about the importance of having a quick response plan for any possible issues to maintain the integrity of the data flow.

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How do you approach collaborating with non-technical stakeholders?

Emphasize the importance of clear communication when working with non-technical stakeholders. Share strategies on how you effectively gather requirements, explain complex concepts in simple terms, and involve them in the data process.

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Describe a time you had to analyze a large dataset. How did you handle it?

Here, narrate a specific project where you had to analyze a substantial dataset. Explain your techniques for managing, visualizing, and extracting insights from the data, focusing on the tools and methods you employed.

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What inspires you to pursue a career in data engineering?

Share your passion for data and how it drives your interest in engineering. Mention specific aspects of the field that excite you, including the opportunity to make data-driven differences in business operations.

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What trends in data engineering do you find most exciting?

Discuss current trends such as data democratization, the rise of DataOps, or advancements in automation and machine learning. Make it clear how you stay current with industry innovations and how they can impact the role.

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What are your long-term career goals as a Data Engineer?

Outline your aspirations for growth, whether they involve becoming a thought leader in data engineering, advancing into management roles, or specializing in particular technologies or industries.

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Evolus is a medical aesthetics company focused on providing physicians and their patients with expanded choices in medical aesthetic treatments and procedures. Our primary market is self-pay healthcare. Our lead product candidate is an injectable...

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Full-time, hybrid
DATE POSTED
November 23, 2024

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