Senior Data Engineer

Say hello to possibilities.

It’s not everyday that you consider starting a new career challenge.

We’re RingCentral, a global leader in cloud-based communications and collaboration software. We are fundamentally changing the nature of human interaction—giving people the freedom to connect powerfully and personally from anywhere, at any time, on any device.

We’re a $2 billion company that’s growing at 30+% annually and we’re expanding our  Solutions Engineering Team to make sure we stay ahead of the competition.

To Succeed in the role you must have experience in the following:

We are seeking a Sr. Data Engineer to join our dynamic team focused on building secure, scalable, and real-time data solutions. This role will play a key part in enabling our fraud detection, analytics, and compliance initiatives by delivering reliable and high-performance data systems. You'll collaborate across disciplines, apply cutting-edge technologies, and play a leadership role in shaping our data infrastructure.

Principal Duties and Responsibilities:

• Develop, monitor, and report on key platform and service metrics.
• Design and deliver both stand-alone and distributed applications to enhance data security across the stack.
• Build and integrate tools that identify insecure data storage and help developers avoid data security pitfalls.
• Collaborate with stakeholders to enhance data tools, systems, and processes.
• Ingest, enrich, and manage data from multiple sources to enable meaningful analytics.
• Design and develop dashboards that provide a 360-degree view of data posture in relation to fraud detection and prevention.
• Aggregate data streams to deliver transparent and reliable metrics that reflect real-time operational control effectiveness.
• Represent the team as a subject matter expert in meetings and collaborative initiatives.

Education and Experience:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 3–5 years of relevant experience in data engineering, analytics, or a related technical role.

Required Knowledge and Skills:

• Strong written and verbal communication skills.
• Critical thinking and problem-solving abilities.
• Experience with ETL tools such as SSIS.
• Hands-on experience with stream processing technologies (e.g., Kafka, Storm).
• Familiarity with logging and monitoring platforms (e.g., Splunk, Syslog, ELK).
• Proficiency in scripting and automation tools (e.g., Jenkins, Git, Python, PHP).
• Exposure to big data and processing frameworks (e.g., Hadoop, Pig, Hive, Impala).
• Experience integrating data from multiple sources into scalable pipelines.
• Understanding statistics and basic machine learning techniques.
• Hands-on experience with Docker and container orchestration using Kubernetes.
• Experience with Elasticsearch for indexing, querying, and analytics on large datasets.
• Attention to detail in high-control, compliance-focused environments.
• Familiarity with operating systems (Windows, Linux) and networking protocols.
• Understanding of regular expressions.
• Bonus: Experience with Tableau or other BI tools.