Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.
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.
THE ROLE
Everpure is entering a new era of AI-driven, self-service analytics, where our users and business units are empowered to build their own dashboards and intelligent applications. In this decentralized, AI-first world, highly curated, trustworthy data becomes paramount.
We are looking for a Data Engineer to help us build the foundation for this new ecosystem. You will work closely with our senior engineering team, who are invested in your growth, to design and implement scalable Snowflake data pipelines. Your primary focus will be on delivering curated data assets backed by robust metadata, transparent data lineage, and clear ownership, so our business users can confidently build the tools of tomorrow.
WHAT YOU’LL DO
- Build the Foundation: Develop, test, and deploy robust data pipelines into Snowflake using Python (Snowpark) and Apache NiFi to support our evolving AI and analytics infrastructure.
- Curate & Govern: Embed metadata generation, automated data lineage tracking, and strict data ownership definitions into every pipeline to guarantee data trust for self-service dashboard creators.
- Transform & Model: Write clean, efficient SQL to transform raw data into curated assets. Assist in designing scalable data models (e.g., dimensional modeling) optimized for business intelligence and AI workloads.
- Optimize Performance: Monitor pipeline health and tune database performance. Optimize complex queries and Snowflake warehouse configurations to ensure fast, cost-effective data retrieval.
- Collaborate: Work alongside a collaborative team of data engineers, data scientists, and analysts to bridge the gap between raw data sources and actionable, user-facing datasets.
WHAT YOU BRING
- Experience: 1–3 years of hands-on experience in data engineering, data warehousing, or software development with a heavy data focus.
- Programming: Strong proficiency in Python. Hands-on experience with (or a strong desire to learn) Snowflake’s Snowpark framework.
- Data Integration: Practical experience with Apache NiFi for data routing, transformation, and system mediation.
- Database Expertise: Strong working knowledge of advanced SQL, relational databases, and modern cloud data warehouses (Snowflake preferred).
- Data Architecture: Solid understanding of data modeling principles and how to structure data for both analytical reporting and machine learning consumption.
- Performance Tuning: Familiarity with database performance tuning, query optimization, and execution plan analysis.
- Mindset: A strong understanding of data governance concepts, specifically why metadata, lineage, and ownership are critical in a modern data stack.
- Office Location: We are primarily an in-office environment and therefore, you will be expected to work from the Prague office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.
#LI-ONSITE
WHAT YOU CAN EXPECT FROM US:
- Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
- Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
- Team: We build each other up and set aside ego for the greater good.
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out http://benefits.everpuredata.com/ for more information.
ACCOMMODATIONS AND ACCESSIBILITY:
Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at [email protected] if you’re invited to an interview.
OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:
We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.
Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
Join us and bring your best.
Bring your bold.
Pure and simple.
Skills Required
- 1-3 years of hands-on experience in data engineering, data warehousing, or software development with a heavy data focus
- Strong proficiency in Python
- Hands-on experience with Snowflake Snowpark or a strong desire to learn it
- Practical experience with Apache NiFi for data routing, transformation, and system mediation
- Strong working knowledge of advanced SQL and relational databases
- Experience with modern cloud data warehouses, preferably Snowflake
- Understanding of data modeling principles for analytical reporting and machine learning consumption
- Familiarity with database performance tuning, query optimization, and execution plan analysis
- Understanding of data governance concepts, including metadata, data lineage, and data ownership
- Ability to work primarily in-office from the Prague office
Everpure Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Everpure and has not been reviewed or approved by Everpure.
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Equity Value & Accessibility — Equity and stock purchase programs are described as meaningful parts of total compensation, with RSUs and an ESPP highlighted as strengths.
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Strong & Reliable Incentives — Sales compensation is structured to support long sales cycles, including policies that pay full commission until the first sale for new or white‑space accounts.
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Healthcare Strength — Health coverage is portrayed as comprehensive, with multiple medical options, fully covered vision, dental PPO choices, mental‑health resources, and company HSA contributions.
Everpure Insights
What We Do
Pure Storage (NYSE:PSTG) helps innovators build a better world with data. Pure's data solutions enable SaaS companies, cloud service providers, and enterprise and public sector customers to deliver real-time, secure data to power their mission-critical production, DevOps, and modern analytics environments in a multi-cloud environment. One of the fastest growing enterprise IT companies in history, Pure Storage enables customers to quickly adopt next-generation technologies, including artificial intelligence and machine learning, to help maximize the value of their data for competitive advantage. And with a Satmetrix-certified NPS customer satisfaction score in the top one percent of B2B companies, Pure's ever-expanding list of customers are among the happiest in the world.
