Senior Data Engineer - Anywhere Cloud

Reposted 15 Days Ago
Be an Early Applicant
San Jose, CA, USA
In-Office
152K-190K Annually
Senior level
Big Data • Software • Analytics
The Role
The Senior Software Engineer in Test will lead the design, automation, and execution of test strategies for data pipelines, requiring expertise in data ecosystems and Kubernetes.
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.

Senior Data Engineer - Anywhere CloudTeam Overview

The Anywhere Cloud (AWC) team is building Cloudera’s next-generation unified control plane.

We are moving beyond traditional UI-driven workflows to an "AI-First" architecture.

AWC enables the deployment of Data Services (like Spark, Trino, and Cloudera AI) across hybrid and multi-cloud environments. Our platform orchestrates complex Kubernetes infrastructures, foundational services (Service Mesh, Auth, Logging), and data engines.

The Role

As a Sr. Data Engineer you will leverage your deep domain expertise in data ecosystem engines like Spark, Kafka, Apache Polaris, Trino, Airflow and Lakehouse architectures to validate end to end use cases via custom blueprint. Your work will directly guarantee the functioning of the data pipeline for relevant use cases.

Key Responsibilities
  • Data Modeling & Proactive Data Quality: Managing complex data modeling and schema drift, as well as embedding automated data quality checks and statistical anomaly detection directly into pipelines to shift away from reactive, manual quality processes.

  • Unified Data Governance Integration: Working with governance layers to ensure policies like tag-driven Attribute-Based Access Control (ABAC), column-level masking, row-level filters, and zero-code lineage ingestion (e.g., Octopai) are accurately enforced at the data layer.

Requirements
  • Engine SME Expertise : Hands-on understanding of modern compute and streaming engine internals like Spark, Kafka, Trino, Airflow

  • Kubernetes Expertise: Understanding of Kubernetes internals (CRDs, Controllers, Operators, Namespaces). You must understand how to debug and test complex Helm chart deployments and dependencies.

  • Language Proficiency: Expert-level proficiency in Python/Shell for scripting and automation.

  • Education: Bachelor’s or Master’s degree in Computer Science or equivalent experience.

  • Experience: 8+ years of software engineering experience with a focus on test automation, infrastructure, or backend development 

What You Can Expect
  • AI enabled work environment with access to latest AI tools

  • Freedom to Act: You will work without appreciable direction, setting your own priorities based on long-term technical goals.

  • Impact: Your decisions will affect the strategic direction of the AWC quality stack and the reliability of our platform setup.

  • Complexity: You will solve unusually complex problems, such as verifying cross-cluster service discovery and ensuring zero-downtime upgrades for stateful data engines.

This role is not eligible for immigration sponsorship.
 

The expected base salary range for this role in

  • California is $152,000 - $190,000

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-HYBRID

#LI-CP1

Skills Required

  • 8+ years of software engineering experience with a focus on test automation, infrastructure, or backend development
  • Expert-level proficiency in Python/Shell for scripting and automation
  • Bachelor's or Master's degree in Computer Science or equivalent experience
  • Understanding of Kubernetes internals (CRDs, Controllers, Operators, Namespaces)
  • Hands-on understanding of modern compute and streaming engine internals like Spark, Kafka, Trino, Airflow
Am I A Good Fit?
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The Company
HQ: Palo Alot, CA
3,092 Employees
Year Founded: 2008

What We Do

At Cloudera, we believe that data can make what is impossible today, possible tomorrow. We empower people to transform complex data into clear and actionable insights. Cloudera delivers an enterprise data cloud for any data, anywhere, from the Edge to AI. Powered by the relentless innovation of the open source community,

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