Staff Software Engineer - Apache Iceberg

Reposted 15 Days Ago
4 Locations
In-Office or Remote
184K-230K Annually
Senior level
Artificial Intelligence • Cloud • Software • Big Data Analytics
Shape the Global Future of Enterprise AI Come build the future of enterprise AI with a global team that puts its people
The Role
As a Staff Software Engineer, you will lead the development of Apache Iceberg, enhancing data handling capabilities for large-scale systems, collaborating with teams, and architecting solutions for modern data lakes.
Summary Generated by Built In

Business Area:

Engineering

Seniority Level:

Mid-Senior level

Job Description: 

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry.  Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

The Data Platform Pillar is the bedrock of Cloudera’s technology, where we design and build the core components that let our customers store, manage, and process data with unmatched scalability, security, and performance.
Join the forefront of Big Data innovation at Cloudera! We are seeking a visionary Staff Engineer to take ownership of the next generation of our enterprise-grade Apache Iceberg distribution. This is a rare opportunity to architect, design, and scale the system that powers data processing for the world's largest companies, managing petabytes of data across thousands of nodes. If you are an experienced leader in distributed systems and data processing, ready to drive massive impact and define the future of Data Engineering, your mission starts here.

This is your chance to architect solutions that are responsible for managing Petabyte (PB) sized datasets across multi-cloud environments. You will gain deep technical experience in complex big data use cases and seize the unique opportunity to become a core contributor to the vibrant Apache Iceberg open-source community and directly influence the project's evolution.

As a Staff Engineer you will:

  • Drive the future of data architecture by becoming a core contributor to Apache Iceberg, the open-source project defining modern data lakes.

  • Bring performance improvements to all of the engines in the Cloudera stack, by implementing new features in Iceberg and working with other teams to leverage them during queries.

  • Work with Product Managers and Customers to determine ways Iceberg can be improved for Modern Data Lakes.

  • Develop new features in Java on a modern platforms

  • Gain a solid understanding and deep technical knowledge of components across the Cloudera stack, but focusing on Iceberg, which you can utilize in your daily tasks.

  • Get to work on massive-scale distributed systems, spanning from 100s to 1000s of nodes in production clusters, leveraging Iceberg's capabilities for handling PB-scale data architectures.

  • Debug system level deployment issues, root cause analysis, perform system test analysis and resolve failures.

  • Collaborate with other team members and stakeholders.

We are excited if you have (Required Experience):

  • Bachelor’s degree in Computer Science or equivalent, and 6+ years of experience; OR Master’s degree and 4-6 years of experience; OR PhD and 2-4 years of experience

  • Hands-on programmer with solid data-structures and algorithms

  • Experience with systems design, development

  • Strong understanding of at least one of the following languages: Java, Scala, C++, Python. And interested to learn the languages we’re using.

  • Passionate about programming, clean coding habits, attention to detail, and focus on quality

  • Strong ability to research and solve problems independently without constant supervision

  • Ability to work effectively both independently and as part of an international and virtual team

  • Excellent communication and collaboration skills

  • (Most importantly) Open-minded attitude, desire to learn new things and build great products

You might have:

  • Experience with using/developing Apache Iceberg or other related technologies

  • Experience (or demonstrated interest) in distributed computing or high availability systems

  • Contributions to open-source projects

  • Experience with SQL optimization, from analyzing query plans to implementing optimization in SQL engines

Why this role matters: 

You will tackle complex distributed systems challenges, crafting the foundational software for the control and data planes that powers CDP and keeps it running at massive scale. Working at the forefront of hybrid and multi-cloud technology, you will empower data scientists, engineers, and analysts with the tools and infrastructure they need for advanced analytics and modeling.

 Collaboration is key, you will work alongside brilliant minds across product, data science, and engineering to drive innovation, standardize best practices, and shape the future of enterprise AI and data platforms. This is your chance to build the future of data and see your work make a global impact.

This role is not eligible for immigration sponsorship.
 

The expected base salary range for this role in

  • Washington is $184,000 - $230,000

The salary will vary depending on your job-related skills, experience and location
 

What you can expect from us:

  • Generous PTO Policy 

  • Support work life balance with Unplugged Days

  • Flexible WFH Policy 

  • Mental & Physical Wellness programs 

  • Phone and Internet Reimbursement program 

  • Access to Continued Career Development 

  • Comprehensive Benefits and Competitive Packages 

  • Paid Volunteer Time

  • Employee Resource Groups

EEO/VEVRAA

#LI-SZ1

#LI-REMOTE

Skills Required

  • Bachelor's degree in Computer Science or equivalent
  • 6+ years of experience or Master's degree and 4-6 years or PhD and 2-4 years
  • Hands-on programming skills in data-structures and algorithms
  • Experience with systems design and development
  • Strong understanding of at least one language: Java, Scala, C++, or Python
  • Ability to research and solve problems independently
  • Excellent communication and collaboration skills

Cloudera Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cloudera and has not been reviewed or approved by Cloudera.

  • Leave & Time Off Breadth Unplugged Days provide recurring company‑wide extra days off in addition to generous PTO and holidays, creating predictable recharge time. Time away is a prominent part of the package and is consistently emphasized alongside regular leave options.
  • Healthcare Strength Comprehensive medical, dental, and vision coverage is paired with life and disability insurance, an EAP, and wellness programming. Added lifestyle support includes gym reimbursement in the U.S. and health checkups in some locations.
  • Fair & Transparent Compensation The company emphasizes equitable compensation and maintains a Fair Pay Workplace certification. Pay is described as competitive for many technical and go‑to‑market roles, aligning with this stance.

Cloudera Insights

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The Company
HQ: Santa Clara, CA
3,092 Employees
Year Founded: 2008

What We Do

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

Why Work With Us

Impact at Scale: The infrastructure we build solves massive problems for top global banks, telecommunications giants, and healthcare providers. Cutting-Edge Tech: Work directly at the intersection of Open Source, Machine Learning, and Generative AI. Unmatched Flexibility: Enjoy a remote-friendly, hybrid culture that respects your time—including

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