Acceldata is the market leader in Enterprise Data Observability. Founded in 2018, Silicon Valley-based Acceldata has developed the world's first Enterprise Data Observability Platform to help build and operate great data products.
Enterprise Data Observability is at the intersection of today’s hottest and most crucial technologies such as AI, LLMs, Analytics, and DataOps. Acceldata provides mission-critical capabilities that deliver highly trusted and reliable data to power enterprise data products.
Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company whose investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures.
As a Software Engineering Co-op at Acceldata Inc in Canada, you will have the opportunity to work on exciting big data projects and create a Data platform from scratch, learn from experienced professionals, and make a real impact by showcasing your effort directly to the enterprise. In this role, you will design, build, and scale components of the Acceldata Open Data Platform (ODP), contributing to open-source technologies and solving real-world challenges in large-scale data infrastructure We seek passionate, self-driven individuals eager to make a tangible impact, learn continuously, and deliver solutions that enable organizations to unlock the full potential of the open-source community.
This is a 4 month assignment with required on-site presence at 151 Charles Street West, inside the Communitech Innovation Center.
At Acceldata, you won’t just be writing code; you’ll be shaping the foundation of modern data platforms used by some of the world’s largest enterprises. You’ll work alongside seasoned engineers and open-source contributors who are passionate about solving complex distributed systems challenges at scale. Every project you take on will directly impact how a data platform is managed, observed, and optimized across hybrid and cloud ecosystems.
This is your chance to build technology that truly matters, software that drives mission-critical pipelines, scales to petabytes, and influences the open-source community at large. We move fast, value creativity, and reward innovation. If you’re looking for a place where your ideas can become real systems and your work can be seen, used, and respected across the data ecosystem, Acceldata is where you belong
Collaborate with the engineering team to write, test, and deploy software solutions using advanced Java or Scala programming.
Participate actively in the entire software development lifecycle, including requirement analysis, design, implementation, testing, and maintenance.
Leverage past experience with at least one Apache project (e.g., Apache Hadoop, Apache Spark, Apache Kafka) to contribute effectively to the project.
Utilize knowledge of open-source community best practices and development methodologies.
Identify and troubleshoot issues, ensuring the delivery of high-quality software solutions.
Participate in code reviews to maintain code quality and share knowledge with team members.
Commit to continuous learning and professional development, adapting to new tools, languages, and platforms as required.
Stay updated with the latest advancements in open-source projects and contribute to the community as needed.
Currently pursuing a degree in Computer Science, Software Engineering, or a related field in the University of Waterloo.
Strong programming skills in languages such as Java or Scala, and Python.
Developed and prepared project build models associated with Maven, Gradle, or SBT
Hands-on experience in Github & Nexus management and its use cases.
Solid understanding of data structures, algorithms, and software development principles.
Experience with distributed computing, big data technologies, and cloud platforms is a plus.
Strong understanding and hands-on experience with Kubernetes, including deploying, managing, and scaling applications.
Familiarity with Kubernetes concepts such as Pods, Services, Deployments, StatefulSets, ConfigMaps, and Secrets.
Knowledge of data structures, algorithms, and software development principles.
Excellent problem-solving and analytical abilities.
Understanding of the big data ecosystem, including data ingestion, processing, and storage technologies.
Strong communication skills, both verbal and written, to effectively collaborate with cross-functional teams.
Proven ability to work well in a team environment, contributing to a collaborative culture.
Enthusiasm to learn and adapt to new technologies.
Acceldata provides an Agentic Data Management platform that simplifies and speeds the ability for enterprises to deliver trusted data for AI and other initiatives.
Founded in 2018, Campbell, CA-based Acceldata developed the world's first enterprise data observability platform to help enterprises build and operate great data products. Built on that foundation, Acceldata's xLake Reasoning Engine now powers the Agentic Data Management platform.
Acceldata's solutions have been embraced by global enterprises such as Nestle, Dun & Bradstreet, Hershey, Pubmatic, HCSC, PhonePe (Walmart), TPG Telecom (Australia), Jenius Bank, Merkle, Pubmatic, and many more.
Acceldata investors include Insight Partners, March Capital, Industry Ventures, Lightspeed, Sorenson Ventures, Sanabil, and Emergent Ventures.
