{"id":661933,"url":"https://alion.io/job/acceldata-field-engineering-co-op","title":"Field Engineering Co-Op","company":{"id":4497,"name":"Acceldata","domain":"acceldata.io","url":"https://alion.io/company/acceldata","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":77,"open_postings":37,"ghost_share":0.297,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":140,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":null,"employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kitchener, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":20,"max":30,"currency":"CAD","period":"hour","gross":null,"usd_annual":42000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-05-08T16:42:33Z","employer_posted_date":"2026-05-08","last_verified_at":"2026-10-17T12:08:32Z","board_verified":true,"closed_at":null,"days_open":161,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":161},"description":"Summary\nAs a Field Engineer Co-op at Acceldata, you’ll be working hands-on with complex distributed systems, helping real customers solve deep infrastructure and data observability challenges.\nYou’ll get to:\nShadow and contribute to field-engineering solutions and architecture reviews.\nDive into diagnostics around performance, scalability, and deployment for large-scale data environments.\nLearn how we enable observability across Data, Kubernetes, cloud-native platforms, and Open Source components like spark, hive, kafka etc.\nCollaborate directly with the Field Architects to troubleshoot issues and propose improvements.\nLearn designing, developing and deploying reusable automation and AI frameworks to enable observability of various data ecosystems and platforms.\nBuild context across Sales, Product, and Customer Success, understanding how real-world engineering meets customer expectations.\nSee what it means to turn technical solutions into customer value at scale.\nThis role is built for future Sales Engineers, Solution Architects, or Platform Engineers who want early exposure to enterprise-scale engineering problems.\nIf you’re excited by debugging distributed systems, working close to customer impact, and seeing how world-class engineering drives business outcomes, this Co-Op is built for you.\nThis is a 4 month assignment, 40 hours per week, with required on-site presence at 151 Charles Street West, inside the Communitech Innovation Center.\nWHY INTERN WITH US\nGain valuable experience at a fast-growing tech startup in Canada.\nWork alongside senior field engineers and architects to solve complex platform reliability and data operations challenges.\nGain hands-on experience with cloud native and distributed systems like Hadoop, Spark, Kafka, Hive, and Kubernetes.\nGet mentorship from engineers and architects who’ve scaled infrastructure at leading tech companies.\nOpportunity for future employment and career growth. It’s a launchpad into high-impact, customer-facing technical roles.\nJoin the team that coined the term Data Observability.\nRESPONSIBILITIES\nCollaborate with the field engineering team to write, test, and deploy software solutions using advanced Java or Scala programming.\nCommit to continuous learning and professional development, adapting to new tools, languages, and platforms as required.\nThis position is perfect for individuals who are passionate about technology, eager to solve complex business problems, and possess a strong customer-centric mindset.\nREQUIREMENTS\nCurrently pursuing a degree in Computer Science, Software Engineering, or a related field.\nStrong programming skills in languages such as Java, Scala, and Python.Knowledge of data structures, algorithms, and software development principles.\nExperience with distributed computing, big data technologies, and cloud platforms is a plus.\nExcellent problem-solving and analytical abilities.\nStrong understanding and hands-on experience with Kubernetes, including deploying, managing, and scaling applications.\nFamiliarity with Kubernetes concepts such as Pods, Services, Deployments, StatefulSets, ConfigMaps, and Secrets.\nUnderstanding of the big data ecosystem, including data ingestion, processing, and storage technologies.\nStrong communication skills, both verbal and written, to effectively collaborate with cross-functional teams.\nProven ability to work well in a team environment, contributing to a collaborative culture.\nEnthusiasm to learn and adapt to new technologies.\nApplication Documents Required\nCo-op Work History\nResume\nGrade Report\nCompensation and Benefits Information\nApple Mac Equipment\nCatered lunch once a week in the office\nGym with onsite showers\nGames Rooms\nDesignated bicycle room \nDrinks and 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