Senior Engineer - Hyperscale Analytics

Location: San Jose, CA; hybrid work

Compensation: $237,800–$441,500 USD annually in total target compensation

Company

hirify.global develops data resilience and data security solutions that help organizations secure, understand, and protect data and AI systems.

What you will do

• Design and implement scalable OLTP systems for real-time workloads and OLAP systems for complex analytical queries.
• Build, optimize, and maintain large-scale batch and streaming pipelines using Spark, Flink, Presto/Trino, or Kafka Streams.
• Optimize low-latency queries, high-throughput ingestion, and interactive analytics at petabyte scale.
• Develop and integrate storage and processing systems such as Snowflake, BigQuery, Redshift, Cassandra, HDFS, Delta Lake, and Iceberg.
• Ensure high availability, monitoring, automated failover, and recovery across compute and storage clusters.
• Collaborate with data scientists, ML engineers, and product teams on secure and cost-efficient data platforms.

Requirements

• 6+ years of professional software engineering experience, including work with data infrastructure, distributed systems, or large-scale analytics platforms.
• Deep experience with distributed data processing frameworks such as Spark or Flink.
• Strong background in cloud-scale data architecture on AWS, Azure, or GCP, including data lakes, warehouses, and streaming platforms.
• Proficiency in Python, Java, Scala, or Go.
• Experience with modern data warehouse and lakehouse technologies such as Snowflake, Databricks, BigQuery, or Redshift.
• Understanding of data modeling, ETL/ELT design, pipeline orchestration, scalability, reliability, and production cost efficiency.

Nice to have

• Experience with HTAP systems or real-time analytics platforms.
• Familiarity with Parquet, ORC, Delta, Iceberg, or Hudi.
• Knowledge of Docker, Kubernetes, and cloud-native data architectures.
• Background in query engine development or open-source OLAP/OLTP frameworks.

Culture & Benefits

• Unlimited paid time off, 12 paid holidays, and paid volunteer time.
• Paid parental leave, including extended leave for birthing parents.
• Medical, dental, and vision coverage from the first day.
• Mental health support, therapy sessions, and digital wellness tools.
• 401(k) retirement plan with company matching contributions.
• Learning resources, mentoring, workshops, and professional development events.