Staff Software Engineer, Data Platform
Staff Software Engineer building and scaling high-volume, low-latency distributed data platform services and analytics infrastructure using Java, Kinesis, Flink, Snowflake, and Kubernetes. Requires 8+ years experience and U.S. Person status for FedRAMP access.
Job Duties and Responsibilities
- Design, implement and own data-intensive, high-performance, scalable platform components
- Work with engineering teams, architects and cross functional partners on the development of projects, design, and implementation
- Conduct and participate in design reviews, code reviews, analysis, and performance tuning
- Coach and mentor engineers to help scale up the engineering organization
- Debug production issues across services and multiple levels of the stack
Required Knowledge, Skills, and Abilities
- 8+ years of experience in object-oriented language, preferably Java
- Hands-on experience using a cloud-based distributed computing technologies including:
- Messaging systems such as Kinesis, Kafka
- Data processing systems like Flink, Spark, Beam
- Storage & Compute systems such as Snowflake, Hadoop
- Coordinators and schedulers like the ones in Kubernetes, Hadoop, Mesos
- Experience in developing and tuning highly scalable distributed systems
- Excellent grasp of software engineering principles
- Solid understanding of multithreading, garbage collection and memory management
- Experience with reliability engineering specifically in areas such as data quality, data observability and incident management
Nice to Have
- Maintained security, encryption, identity management, or authentication infrastructure
- Leveraged major public cloud providers to build mission-critical, high volume services
- Hands-on experience in developing Data Integration applications for large scale (petabyte scale) environments with experience in both batch and online systems
- Contributed to the development of distributed systems or used one or more at high volume or criticality such as Kafka or Hadoop
- Experience developing Kubernetes based services on AWS Stack
Additional Requirements
- This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.
Software Engineer, Data Platform
Build and maintain data infrastructure processing petabytes of data. Own end-to-end projects for data ingestion, transformation, and serving systems. Requires 3+ years of software engineering experience.
Staff Analytics Engineer
Design and maintain a robust business data layer in dbt to enable trusted GTM sales analytics, reporting, data science, and AI capabilities. Requires 8+ years in analytics engineering with advanced SQL and dbt expertise.
Data Engineer
Own and extend customer data ingestion platform and large-scale pipelines powering AI workers. Build data lake, retrieval layer, and infrastructure for syncing, enriching, and querying customer data across CRMs and third-party systems.
Data Engineer, Machine Learning
Build and maintain production data pipelines that prepare conversational, voice, and multimodal data for ML model training and evaluation. Partner closely with ML engineers to deliver clean, versioned datasets and enforce data quality and governance.