Senior Engineer - Hyperscale Analytics

Veeam; San Jose (CA); On-site; USD 238,000 - 442,000; Full time

Benefits offered by this job

Unlimited PTO

Paid holidays

Parental leave

Medical/dental/vision coverage

Mental health support

401(k) with company matching

Fertility & surrogacy support

AirVet 24/7 veterinary care

Legal services & identity protection

Job summary

Veeam is seeking a Senior Engineer- Hyperscale Analytics to design and scale next-generation data processing and analytics platforms powering OLTP, OLAP, and large-scale distributed data systems.

You will build and optimize pipelines for real-time transactions, analytical insights, and AI-driven decisioning, collaborating with data scientists and ML teams to enable secure, cost-efficient data platforms.

Qualifications

• 6+ years of professional software engineering experience in data infrastructure.
• Experience with distributed data processing frameworks (e.g., Spark, Flink).
• Strong background in cloud-scale data architecture (AWS/Azure/GCP).
• Proficiency in Python, Java, Scala, or Go.
• Experience with Snowflake/BigQuery/Redshift.
• Knowledge of ETL/ELT design and orchestration (Airflow/dbt).

Responsibilities

• Design and implement scalable OLTP systems for real-time workloads and OLAP for large analytics.
• Build, optimize, and maintain batch and streaming pipelines using Spark, Flink, Presto/Trino, or Kafka Streams.
• Optimize for low-latency queries, high-throughput ingestion, and interactive analytics.
• Integrate with Snowflake/BigQuery/Redshift and other storage/processing systems for hybrid workloads.
• Ensure high availability, reliability, and observability with automated failover and monitoring.
• Collaborate with data scientists, ML engineers, and product teams to build unified data platforms.

Skills

OLTP/OLAP

Distributed systems

Cloud data architecture

Python/Java/Scala/Go

Data warehousing

ETL/ELT design

Spark/Flink

Tools

Spark

Flink

Presto/Trino

Kafka Streams

Airflow

dbt

Snowflake

BigQuery

Redshift

Docker

Kubernetes

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.