Software Engineering Co-op (Kitchener)

About Us

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. Summary

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, 40 hours per week, with required on‑site presence at 151 Charles Street West, inside the Communitech Innovation Center. Why Intern With Us

At Acceldata, you won’t just be writing code; you’ll be shaping the foundation of contemporary 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. Responsibilities

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. Requirements

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. Application Documents Required

Proof of Co‑Op enrollment Co‑Op Work History, if applicable Resume Grade Report Compensation and Benefits Information

$20 - $30 an hour Apple Mac Equipment Catered lunch once a week in the office Gym with on‑site showers Games Rooms Designated bicycle room Drinks and snacks Acceldata is an equal‑opportunity employer. At Acceldata, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status, or any other special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the designated roles and responsibilities. #LifeAtAcceldata is all about working with some of the best minds in the industry and experiencing a culture that values an ‘out‑of‑the‑box’ mindset. If you want to push boundaries, learn continuously, and grow to be the best version of yourself, Acceldata is the place to be! We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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