Senior Engineer - Hyperscale Analytics

Veeam Software

🇺🇸 San Jose, CA, USA

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AI Job Summary

Design and scale hyperscale data processing and analytics platforms handling billions of records daily, building OLTP and OLAP systems, optimizing distributed pipelines with Apache Spark or Flink, and integrating modern data warehouses like Snowflake and BigQuery. Requires 6+ years software engineering experience with significant focus on data infrastructure or distributed systems, deep expertise in distributed processing frameworks, cloud-scale data architecture on AWS, Azure, or GCP, and proficiency in Python, Java, Scala, or Go. Compensation $237,800–$441,500 USD.

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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)

$237,800—$441,500 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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Role Senior Engineer - Hyperscale Analytics
Experience 5-7 years
Work type On-site
Location United States

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Veeam Software

AI & Machine Learning · United States

Veeam, the #1 global market leader in data resilience, believes businesses should control all their data whenever and wherever they need it. Veeam provides data resilience through data backup, data recovery, data portability, data security, and data intelligence. Based in Seattle, Veeam protects over 550,000 customers worldwide who trust Veeam to keep their businesses running. Join us as we move forward together, growing, learning, and making a real impact for some of the world’s biggest brands. The future of data resilience is here - go fearlessly forward with us.

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Job Overview

Eligibility

United States Right to work in the United States required.

Workplace

On-site

Job Posted:

3 days ago

Job Type

Full Time

Experience

5-7 years