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Senior Engineer - Hyperscale Analytics

Veeam SoftwareSan Jose🇺🇸United StatesPosted Oct 2, 2026

Why This Role Stands Out

This Senior Engineer role offers an incredible opportunity to shape hyperscale analytics platforms, processing billions of records daily to drive AI-driven insights for global brands. You'll thrive here if you're passionate about building and optimizing massive distributed data systems and are eager to contribute to a leading company in data resilience and security. Apply now to make a significant impact and advance your career in a dynamic, forward-thinking environment.

Quick Overview

Salary
$237.8k/yr
Seniority
Mid Senior
Work mode
Hybrid
Location
San Jose, United States
Posted
1 week ago
DockerGCPScalaAWSETLFlinkSnowflakeAirflowApacheApache SparkAzureBigQueryCassandraDatabricksJavaKafkaKubernetesMental HealthPythonRedshiftdbt

Job Description

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

About the Role

We are seeking exceptional Senior Engineer- Hyperscale Analytics to design and scale next-generation data processing and analytics platforms that power OLTP, OLAP, and large-scale distributed data systems. You will build and optimize pipelines and services that handle billions of records daily, enabling real-time transactions, analytical insights, and AI-driven decisioning.

What You’ll Do

  • Transactional & Analytical Systems: Design and implement highly scalable OLTP systems for real-time workloads and OLAP systems for complex analytical queries on massive datasets
  • Distributed Processing: Build, optimize, and maintain large-scale batch and streaming pipelines using frameworks such as Apache Spark, Flink, Presto/Trino, or Kafka Streams
  • System Performance & Scale: Optimize systems for low-latency queries, high-throughput ingestion, and interactive analytics, ensuring seamless performance as data volumes scale to petabytes
  • Data Infrastructure: Develop and integrate with modern storage and processing systems (e.g., Snowflake, BigQuery, Redshift, Cassandra, HDFS, Delta Lake, Iceberg) to support hybrid analytical/transactional workloads
  • Reliability & Observability: Ensure high availability, reliability, and monitoring across large compute and storage clusters with automated failover and recovery
  • Collaboration: Partner with data scientists, ML engineers, and product teams to build unified, secure, and cost-efficient data platforms

What You’ll Bring

  • 6+ years of professional software engineering experience, with a significant portion focused on data infrastructure, distributed systems, or large-scale analytics platforms
  • Deep experience with distributed data processing frameworks (e.g., Spark, Flink, or similar)
  • Strong background in cloud-scale data architecture (AWS, Azure, or GCP) — data lakes, warehouses, streaming platforms
  • Proficiency in one or more of: Python, Java, Scala, or Go
  • Experience with modern data warehouse/lakehouse technologies (e.g., Snowflake, Databricks, BigQuery, Redshift)
  • Solid understanding of data modeling, ETL/ELT design, and pipeline orchestration (e.g., Airflow, dbt)
  • Track record of designing for scale, reliability, and cost efficiency in production systems

Bonus Skills

  • Experience with HTAP (Hybrid Transactional/Analytical Processing) systems or real-time analytics platforms
  • Familiarity with data lakehouse architectures and formats like Parquet, ORC, Delta, Iceberg, Hudi
  • Knowledge of containerized deployments (Docker, Kubernetes) and cloud-native data architectures (AWS Redshift, GCP BigQuery, Azure Synapse)
  • Background in query engine development or contributing to open-source OLAP/OLTP frameworks

What you'll get

  • Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
  • Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
  • Medical, dental, and vision coverage starting on your first day
  • Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program
  • 401(k) retirement plan with company matching contributions
  • Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
  • AirVet: 24/7 virtual veterinary care at no cost
  • Legal services, identity protection, and supplemental health insurance options
  • Tax-advantaged spending accounts for healthcare, dependent care, and commuting
  • Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Pay Transparency

Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission. When determining compensation, Veeam takes into consideration factors such as experience, education, skills, and geographic zone. Offers are typically made below the midpoint of the range.

In addition to compensation, Veeam provides a comprehensive benefits package, including health coverage, retirement plans, and unlimited time off.

Compensation Range (TTC / OTE)
$234,840—$436,080 USD

Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.

Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing. 

By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.

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