Senior Engineer - Hyperscale Analytics
Veeam Software
$234,840 - $436,080 / year
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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 worldâs 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 Youâll 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 Youâll 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) â 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
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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, OâReilly), 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.
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.Â
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.
Benefits
- health insurance
- vision insurance
- 401(k)
- paid time off
- parental leave
About this role
Veeam is looking for a Senior Engineer to architect and operate the data processing systems underlying its data resilience and security platform. You'd own the design of hyperscale OLTP and OLAP systems handling billions of records daily, optimizing distributed pipelines with tools like Spark and Flink, and integrating modern data warehouses and lakehouses such as Snowflake and BigQuery. The work spans system performance tuning, infrastructure reliability, and close collaboration with data scientists and product teams to build secure, cost-efficient platforms.
This role demands at least six years of software engineering with substantial depth in data infrastructure or distributed systems. You'll need hands-on expertise with frameworks like Spark or Flink, cloud-scale architecture on AWS, Azure, or GCP, and proficiency in Python, Java, Scala, or Go. Experience with modern data warehouse technologies, ETL orchestration tools like Airflow, and a track record of designing for scale and reliability in production are essential. Background in HTAP systems, lakehouse architectures, Kubernetes, or open-source OLAP/OLTP projects would strengthen your candidacy.
The position is hybrid in San Jose and offers a compensation range of $237,800 to $441,500. Benefits include unlimited paid time off, 12 paid holidays plus four self-care days, paid parental leave (8â16 weeks depending on circumstances), comprehensive health coverage from day one, 401(k) matching, professional development resources, and support for fertility and adoption. Note that this is listed as a volunteer role, which may warrant clarification before applying.
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Pay for this role
$234,840 to $436,080 per year
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