Boulevard
Boulevard is the fastest‑growing client experience platform that empowers appointment‑based self‑care businesses such as salons, spas, and medspas nationwide. Our platform combines online appointment scheduling, seamless business management, marketing, and payments to deliver personalized, reliable solutions. Developed with industry leaders, we prioritize driving revenue, automating workflows, and enhancing customer experiences. Headquartered in Los Angeles, Boulevard is a venture‑backed startup challenging norms to advance the intersection of beauty and technology.
Company Description Boulevard is the fastest‑growing client experience platform that empowers appointment‑based self‑care businesses such as salons, spas, and medspas nationwide. Our platform combines online appointment scheduling, seamless business management, marketing, and payments to deliver personalized, reliable solutions. Developed with industry leaders, we prioritize driving revenue, automating workflows, and enhancing customer experiences. Headquartered in Los Angeles, Boulevard is a venture‑backed startup challenging norms to advance the intersection of beauty and technology.
Role Description As a Staff Analytics Engineer, you will play a key role in developing and maintaining data analysis tools and infrastructure to support Boulevard’s business objectives. This is a full‑time, on‑site role located in San Ramon, CA.
Responsibilities
Build and optimize scalable data pipelines.
Perform data modeling tasks.
Support Extract, Transform, Load (ETL) processes and ensure efficient data integration workflows.
Design effective data warehouse solutions to manage large datasets.
Conduct in‑depth data analytics to support decision‑making.
Qualifications
Proficiency in Data Engineering and experience with building scalable data solutions.
Strong knowledge of Data Modeling and implementing structured data solutions for analytical use.
Hands‑on experience with Extract, Transform, Load (ETL) processes and ensuring efficient data integration workflows.
Expertise in developing and maintaining Data Warehousing solutions and managing large datasets.
Solid understanding and application of Data Analytics to generate actionable business insights.
Proficient in SQL and programming languages such as Python or Scala.
Comprehensive knowledge of cloud technologies and platforms like AWS or GCP.
Excellent problem‑solving skills and ability to effectively communicate technical concepts to various stakeholders.
A Bachelor’s or higher degree in Computer Science, Engineering, Data Science, or a related field is preferred; relevant professional experience may be considered.
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Company Description Boulevard is the fastest‑growing client experience platform that empowers appointment‑based self‑care businesses such as salons, spas, and medspas nationwide. Our platform combines online appointment scheduling, seamless business management, marketing, and payments to deliver personalized, reliable solutions. Developed with industry leaders, we prioritize driving revenue, automating workflows, and enhancing customer experiences. Headquartered in Los Angeles, Boulevard is a venture‑backed startup challenging norms to advance the intersection of beauty and technology.
Role Description As a Staff Analytics Engineer, you will play a key role in developing and maintaining data analysis tools and infrastructure to support Boulevard’s business objectives. This is a full‑time, on‑site role located in San Ramon, CA.
Responsibilities
Build and optimize scalable data pipelines.
Perform data modeling tasks.
Support Extract, Transform, Load (ETL) processes and ensure efficient data integration workflows.
Design effective data warehouse solutions to manage large datasets.
Conduct in‑depth data analytics to support decision‑making.
Qualifications
Proficiency in Data Engineering and experience with building scalable data solutions.
Strong knowledge of Data Modeling and implementing structured data solutions for analytical use.
Hands‑on experience with Extract, Transform, Load (ETL) processes and ensuring efficient data integration workflows.
Expertise in developing and maintaining Data Warehousing solutions and managing large datasets.
Solid understanding and application of Data Analytics to generate actionable business insights.
Proficient in SQL and programming languages such as Python or Scala.
Comprehensive knowledge of cloud technologies and platforms like AWS or GCP.
Excellent problem‑solving skills and ability to effectively communicate technical concepts to various stakeholders.
A Bachelor’s or higher degree in Computer Science, Engineering, Data Science, or a related field is preferred; relevant professional experience may be considered.
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