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Data Engineer

Full Time
  • Full Time
  • Remote or San Francisco, California
  • Curology profile

Website Curology

Join us on the tech team of an extremely fast-growing, technology-driven startup that’s making effective skincare accessible to everyone.
As a team, Data Engineering enables teams throughout the company to make decisions with data they feel confident in. Data underpins virtually everything we do at Curology—from a truly individualized patient experience, to efficient business operations, to cutting edge Marketing workflows. Data Engineering is the foundation a data driven company is built on. For this role, we believe in the following:

  • Data as a product. We believe the true potential of Foundation teams lies in a product-oriented mindset and that this is even more relevant to data.
  • Exceptional impact. Data Engineers are force-multipliers that enable others to work better and faster. Data is deeply integrated into what we do, this role and team are key to our continued success.
  • Modern data stack. We use the best tools for the job and you will be part of growing and cultivating our modern data stack. AWS, Snowflake, our S3 Data Lake, we build for the future.
  • A talented and passionate team. Our small team of data engineers has achieved outsize results by maintaining a high bar for ownership and product quality.

Essential Functions and Impact Areas

  • Design, manage and optimize the flow of data throughout the organization.
  • Utilize a modern stack to build a cloud-first product.
  • Work closely with application and site reliability engineers to ensure data quality, integrity and availability.
  • Work with the team to integrate consistent and high coding standards.
  • Automate manual processes by working closely with teams like Marketing, BizOps, and Product to discover opportunities for programmatic efficiency.
  • Work on initiatives to keep our system elegant and productivity high — such as improving our metrics, analytics, and experimentation infrastructure.
  • Keep Privacy and Data Protection (PDP) the first-order consideration of data.
  • Respond quickly to data strike team requests.

Competencies and Skills

  • At least 3 years experience building software with Python
  • Write idiomatic python.
  • Write object oriented and reusable code.
  • Familiar with industry standard coding and documentation best practices
  • At least 4 years experience modeling SQL and noSQL data.
  • Understand the tradeoffs between different database models.
  • Given an analysis problem, suggest data models and key reasons for choices.
  • Know major data warehousing tools and concepts.
  • Used Airflow or other job schedulers to develop and monitor batch data pipelines.
  • Strong expertise in data architecture for efficiency of storage and retrieval of data, especially in modern usage-based systems.
  • Experience with AWS data services.
  • Worked with modern database systems, especially Snowflake.
  • Worked with permissions and regulated or controlled data (HIPAA/GDPR/CCPA/FDA).
  • Experience with the following technologies: Python, MySQL, Snowflake, Airflow, Terraform, AWS
  • Passionate about getting the right data to the right person.
  • High emotional intelligence and a kind demeanor
  • Willing to lead in areas of strength and learn new skills when needed.
  • Requires minor to moderate supervision when creating new pipelines or data marts.
  • Requires no supervision when editing existing pipelines or data marts.
  • Writes SQL that is correct, readable, and efficient.
  • Creates data models that correctly address the needs of data storage, access, and usage.
  • Has strong expertise in Python and git.
  • Has a thorough understanding of the Lattice framework and is able to expand and extend it.
  • Is the primary consultant responsible for many different pipelines and data marts.

Additional Optional Skills

  • Worked with Apache Spark or other Big Data tools.
  • Built systems at scale with AWS Lambda or a similar server-less technology.
  • Worked closely with Marketing teams and has a deep understanding of paid channel automation.

Physical Characteristics of Work Environment

  • Remote-based work environment
  • Typing and computer usage throughout the day
  • 9-5 business hours M-F (business hours may depend on regional and local timezones)
  • Occasional travel requirements to office or offsite
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