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Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. About the Job We are building a Customer Data Platform (CDP) designed to unlock the full potential of customer experience (CX) across our products and services. This role offers the opportunity to design and scale a platform that unifies customer data from multiple sources, ensures data quality and governance, and provides a single source of truth for analytics, personalization, and engagement. As a key member of the data engineering team, you will architect and implement the pipelines, storage layers, and integrations that power our CDP. You’ll work with product, data science, and engineering stakeholders to deliver a robust platform that supports real-time decision-making, personalization at scale, and actionable customer insights. This is a high-impact, hands-on engineering role where you’ll shape the data foundation that directly influences how we understand and serve our customers. What You Will Be Doing Design and implement Five9’s Customer Data Platform solutions and enable production use cases for customers Design and develop highly scalable and resilient services for ingesting large-scale datasets Demonstrate strong ownership by ensuring operational excellence with a sharp focus on monitoring, observability, and system reliability Develop and orchestrate ETL/ELT pipelines using Apache Airflow Collaborate with cross-functional partners and lead technical initiatives independently end-to-end Design, build, and optimize distributed query engines such as Apache Spark or Snowflake to support complex data workloads Write, review, or provide feedback on technical design proposals from others Skills 5–7 years of software/data engineering and data platform experience Extensive experience with data transformation and modeling, including advanced features and best practices Deep knowledge of Snowflake for data warehousing, including optimization, security, and cost management Good understanding of data streaming technologies such as Kafka/Kafka Connect Strong knowledge of highly scalable distributed systems, microservices, REST APIs Strong proficiency in object-oriented and/or functional programming languages such as Java, .NET, Python, and SQL for data processing, transformation, and pipeline development Knowledge of Apache Airflow for workflow orchestration is nice to have Understanding of containerization and Kubernetes concepts Experience with the AWS cloud platform and infrastructure-as-code practices Maintain high standards of code quality with a keen eye for test automation and operational excellence Track record of delivering scalable data engineering solutions that support analytics, machine learning, and operational use cases Excellent written and verbal communication and interpersonal skills Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent training, fellowship, or work experience Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer. View our privacy policy, including our privacy notice to California residents here: https://www.five9.com/pt-pt/legal . Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.