Data Engineer

Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent.  

Our Wizards from over 13 countries work together to protect the infrastructure of our hundreds of customers, including over 40% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re the leading player in a massive and growing market, but it’s still early enough for you to make a significant impact. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster. 

SUMMARY 

Wiz is seeking a talented Data Engineer to join our Data team. The Data team develops and maintains the infrastructure for internal data and product analytics. We are looking for data enthusiasts, independent logical thinkers with a can-do approach and a passion for problem-solving. 

We run a SaaS-based stack using Snowflake and dbt.  

WHAT YOU'LL DO 

• Design, build, and maintain data pipelines, datasets and catalogs for fast-growing products and business groups. 

• Develop self-service data analytics solutions and infrastructure.  

• Support ad hoc needs and requests of internal stakeholders. 

• Collaborate with analysts, engineers, and internal customers from Product, Finance, Revenue, and Marketing.  

WHAT YOU'LL BRING 

• Bachelor's or master's degree in Mathematics, Statistics, Data Science, Computer Science, Computer Engineering, or related field  

• 3+ years of experience working as a Data Engineer, including end-to-end designing, orchestrating, and building cloud-based data pipelines (e.g., Airflow, Prefect, Dagster).  

• 3+ years of experience with dimensional data modeling and data warehouse implementation, specifically MPP databases like Snowflake, Redshift, and BigQuery. 

• Strong knowledge of Python and Python-based data analysis tools such as Jupyter Notebooks and pandas.  

• Strong SQL writing skills. Ability to write highly performant queries.  

• Strong track record of executing projects independently in dynamic environments.  

• Fast understanding of data and business needs and ability to translate them into data models.  

• Strong team player with excellent communication skills.  

BONUS SKILLS 

• dbt experience or knowledge. 

If your experience is close but doesn’t fulfill all requirements, please apply. Wiz is on a mission to build a special company. To achieve our goal, we are focused on hiring Wizards with different backgrounds, perspectives, and experiences.

Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

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