Sales Engineering Co-Op
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The posting
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 Sales Engineer Co-op at Acceldata Inc, you will work closely with our sales engineering team to support customer-facing initiatives across solution design, pre-sales, and technical enablement. Your role involves understanding customer requirements through active listening, identifying pain points, and assisting in architecting tailored solutions to complex data challenges. 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 data observability.
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
- Gain valuable experience at a fast-growing tech startup in Canada.
- Work on real-world projects and contribute to our open source initiatives to the Apache community.
- Collaborate with a highly skilled and supportive team.
- Mentorship and guidance from experienced professionals in the tech industry.
- Opportunity for future employment and career growth.
- Join the team that coined the term Data Observability.
RESPONSIBILITIES
- Collaborate with the sales engineering team to write, test, and deploy software solutions using advanced Java or Scala programming.
- Collaborate with the sales engineering team to learn, orchestrate and manage SE labs and demo instances on cloud and on-premise ecosystems.
- Participate actively in the customer proposals lifecycle, including Demos, RFIs, RFPs, and POCs.
- Build a compelling ROI model for prospects incorporating technical solutions and customer business value.
- Build automation scripts or a go-to-market asset (like a powerpoint) that can be used in the most effective ways.
- Commit to continuous learning and professional development, adapting to new tools, languages, and platforms as required.
- This position is perfect for individuals who are passionate about technology, eager to solve complex business problems, and possess a strong customer-centric mindset.
REQUIREMENTS
- Currently pursuing a degree in Computer Science, Software Engineering, or a related field.
- Strong programming skills in languages such as Java, Scala, and Python.Knowledge of data structures, algorithms, and software development principles.
- Experience with distributed computing, big data technologies, and cloud platforms is a plus.
- Excellent problem-solving and analytical abilities.
- 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.
- 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
- Co-op Work History
- Resume
- Grade Report
Compensation and Benefits Information
- Apple Mac Equipment
- Catered lunch once a week in the office
- Gym with onsite 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!
Taken from Acceldata's own posting, last seen live on 14 Nov 2026.
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The application
Your details and CV, then 7 questions (5 written).
- 1.Are you enrolled and in good standing in the co-op program?Yes or no
- 2.Which term are you applying for?Written answer
- 3.Are you currently enrolled in a college or university? If yes, please provide the name of the institution and your field of study.Written answer
- 4.What year are you expected to graduate?Written answer
- 5.Do you require any sponsorship?Written answer
- 6.Which programming languages are you most comfortable with?Written answer
- 7.Are you local to Kitchener and willing to work onsite?Yes or no
From Acceldata's apply page, checked 12 Nov 2026.
About Acceldata
Data and AI observability (ADOC), the xLake platform for running data and AI pipelines across hybrid clouds, and a Hadoop platform for modernizing older clusters, sold to the data teams of large enterprises.
Pay schedule: Full-time salaried seats with pay printed as a yearly range per role and no commission, bonus or equity terms in the postings; the co-op terms are hourly.
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