Data Engineer II

Carlsbad, CA, United States

Applications have closed

Vuori, Inc

Vuori provides a new perspective for athletic and performance clothing. Shop our men's and women's apparel that is Built to move in. Styled for life.™

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Company Description

Vuori is re-defining what athletic apparel looks like: built to move and sweat in but designed with a casual aesthetic to transition into everyday life. We draw inspiration from an active coastal California lifestyle; an integration of fitness, creative expression and life. Our high energy fast paced office environment is reflected in the clothes we make. We aim to inspire others to take on all aspects of their lives with clarity, enthusiasm and purpose…while having a lot of fun along the way. We are proud to be an outlet for opportunity and for personal growth and success.

Job Description

The Data Engineer II will construct and maintain pipelines and data structures within the enterprise data platform. Comprised of the data lake and data warehouse, the enterprise data platform supports the data and analytics needs across Vuori. In partnership with the Product and Data teams, the Data Engineer II will gain a thorough knowledge of business requirements and work alongside the Data Architect to build data structures that best deliver conformed, consistent, and accessible information. Additionally, the Data Engineer II will create optimized extraction, transform, and load processes that deliver data to users in a timely and accurate manner.

Responsibilities include, but are not limited to:

  • Strategize and continue to build out a flexible data lake/data warehouse model with the ability to evolve based on new sources, removal of legacy sources, and to support enhanced BI/analytic capabilities.
  • Create reliable, clear, and sustainable data pipelines using best practices to deliver trusted data in an “on-time” demand environment.
  • Source data via multiple strategies including but not limited to APIs, flat files, webhooks and SFTP/email connections.
  • Collaborate in the definition of logical data models, and construct the physical database structure.
  • Participate in enhancing current state SDLC; maintain Development and QA environments.
  • Create robust data auditing and reconciliation processes to ensure high data quality within the enterprise data platform; proactively work with source data providers to identify and resolve data inconsistencies.
  • In cooperation with the Data Architect, participate in creating architecture artifacts that capture the complete data lake/data warehouse landscape.
  • Contribute to Technical Knowledge Base by creating and enhancing technical and operational documentation to provide visibility and continuity of processes.

Qualifications

  • B.S., ideally in Computer Science, or equivalent work experience is preferred.
  • 5+ years data engineering experience with multiple data lake and data warehouse builds completed.
  • Proficient in multiple lake/warehousing architecture approaches and experience designing logical data models.
  • Experience creating solutions that include data governance concepts related to data quality, privacy, security, retention, etc.
  • Experience working with modern data pipeline orchestration tools to create complex ETL pipelines.
  • Azure Data Factory experience preferred; Fivetran experience a plus.
  • Snowflake and Azure Synapse data platforms.
  • SQL, mySQL, R, Python languages.
  • Able to simplify complex data concepts in order to clearly communicate overarching data structures and strategy.
  • Comfortable working in a matrixed organization involving cross-functional projects; strong communication and collaboration skills.
  • Love working with data and tackling complex data problems.
  • Excellent organizational skills to manage priorities.
  • Well organized, adaptable and a clear thinker.

Additional Information

Pay Range: From $120,000 - $140,000 annually

Benefits:

  • Health Insurance
  • Paid Time Off
  • Employee Discount
  • 401(k)

All your information will be kept confidential according to EEO guidelines.

Tags: APIs Architecture Azure Computer Science Data governance Data pipelines Data quality Data warehouse Engineering ETL FiveTran MySQL Pipelines Privacy Python R SDLC Security Snowflake SQL

Perks/benefits: Career development Flex hours Flex vacation Health care Startup environment

Region: North America
Country: United States
Job stats:  10  2  0
Category: Engineering Jobs

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