Senior Data Engineer at Pure Storage
Santa Clara, California, USA -
Full Time


Start Date

Immediate

Expiry Date

07 Jul, 25

Salary

181000.0

Posted On

08 Apr, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you’re ready to seize the endless opportunities and leave your mark, come join us.
We are seeking a Senior Data Engineer to drive a strong impact related to creation of analytics and reporting solutions for internal customers across business and product lines within the Integrated Operations organization. This role is vital and key to our team’s success, helping drive performance optimization and efficient workflows that help drive improved business outcomes and team effectiveness. Success in this role requires timely collaboration with teams in multiple timezones to support near & long-term strategic initiatives.

Responsibilities
  • 7+ years of experience in Data Engineering, designing and managing scalable data platforms/ecosystems, with experience supporting GTM and sales organizations preferred.
  • Proven ability to develop, foster, and enhance team strategies, goals, and vision, while providing constructive feedback for growth.
  • Expertise in architecting and optimizing data models, ETL processes, and pipelines to ensure efficient data ingestion, transformation, and retrieval in Snowflake.
  • 5+ years of experience with Snowflake, Tableau, or other BI systems, with knowledge of distributed computing preferred.
  • Advanced SQL proficiency for designing efficient queries and database structures to manage large datasets.
  • Experience with cloud technologies (AWS, Azure, or Google Cloud) to build and manage modern data ecosystems.
  • Strong knowledge of data warehouse and analytics solution design, focusing on data architecture, modeling, and query optimization.
  • Ability to implement data governance standards, including data security, quality, and lineage, to ensure reliable BI solutions.
  • Experience collaborating with cross-functional teams to create interactive dashboards and data visualizations that deliver actionable insights.
  • Passion for data engineering and innovation, driving improvements in data structures, reporting performance, and analytics capabilities.
  • Self-driven and adaptable: Take initiative and pride in your work, adapt quickly to new situations, and continuously seek opportunities to learn and grow.
  • Collaborative and communicative: Thrive in a team environment, express ideas openly, and maintain clear and transparent communication.
  • Creative and detail-oriented: Leverage creativity to drive progress, balance attention to detail with the ability to perform under pressure, and enjoy the process along the way.
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