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Jr. Software Engineer Co-op
10 hours ago
Company Overview Planview has one mission: to build the future of connected work, from ideas to impact. As the global leader in work and resource management, Planview helps organizations accelerate the achievement of what matters most, supporting our customers from need to speed, from passion to progress, and from overhead to optimization. We provide the industry’s most comprehensive solutions designed for strategic planning, portfolio and resource management, Lean and Agile delivery, product portfolio management, capability, and technology management (enterprise architecture), innovation management, and collaborative work and project management. Our connected platform of solutions underpins the business and digital transformations of more than 4,500 customers globally, including 59 of the Fortune 100. At Planview, our people connections drive our innovation and success. Our global team of 1400+ work remotely and across our offices including Austin, Vancouver, Hod Hasharon, Bangalore, Sydney, and Stockholm. We’re proud of our world‑class, connected culture built on our shared values, that supports our teams to be successful from anywhere. Learn more about our portfolio at planview.com, and connect with us on LinkedIn, Instagram, and X. The Opportunity Do you want to gain valuable real‑world experience to apply what you learn in your academic classes? Are you interested in finding out what career paths are available to you? If you answered ‘yes’, then you’ve come to the right place. As a co‑op student with Planview, you will get the opportunity to gain meaningful, paid work experience to support your academic learning. You will be supported in further developing your skills and have the chance to learn more about software development in a SaaS organization. We’re looking for a Jr. Software Engineer Co‑op to join our FlowFabric team in Vancouver, BC for an 8‑month co‑op term. In this role, you will be challenged with cutting‑edge data platform technologies and GenAI‑powered development workflows that will give you valuable skills for your career as a Software Engineer. You’ll contribute directly to projects that help organizations unlock governed self‑service data at enterprise scale – giving you a fantastic opportunity to apply what you’ve learned in the classroom to real‑world data challenges. What You’ll Do Work with senior engineers to design and implement data pipelines and ETL processes using modern frameworks like Apache Spark, AWS Glue, Snowflake and Kafka Assist in building scalable cloud data platforms on AWS Contribute to knowledge graph and data ontology projects that enable richer data discovery and governance Learn and apply GenAI‑powered developer tools (GitHub Copilot, Claude Code) to accelerate development and gain experience with AI‑assisted programming Participate in our “You Build It, You Run It” culture by contributing to monitoring, observability, and operations Improve our CI/CD pipelines using GitHub Workflows and infrastructure‑as‑code practices Collaborate in an agile environment that values innovation and teamwork, where your ideas and efforts will make a real impact on the data platform strategy Participate in peer reviews for code reviews and design reviews to learn software engineering best practices Analyze, reproduce, and resolve technical problems in data processing workflows and cloud infrastructure Develop and maintain automation tools for data quality, pipeline monitoring, and testing scenarios What You’ll Bring Students currently enrolled in an applicable co‑op program at BCIT, UBC, UVic, or SFU are eligible for this role. Please note that you must also apply through both through your co‑op office (and include your academic transcript with your application) and online at Have exposure to software development in Java or Python with basic understanding of object‑oriented programming principles Have basic knowledge of computer science fundamentals, data structures, algorithms, and problem‑solving approaches Have an interest in data processing, databases, and distributed systems concepts Can collaborate and communicate effectively in a team environment Are self‑motivated with the ability to work proactively and seek guidance when needed Have a curiosity about cloud computing and modern data engineering practices Other Nice to Haves Experience with SQL and relational database concepts Interest in big data technologies (Apache Sparkli> Experience with CI/CD tooling such as GitHub Actions, Jenkins Basic understanding of REST APIs and web service integration Familiarity with containerization (Docker) and cloud platforms (AWS preferred) Exposure to data analysis or machine learning concepts Experience with Python data libraries (pandas, numpy) or Java data processing frameworksPrevious experience working on distributed teams (even for academic group projects) Interest in AI/GenAI technologies and their applications in software development Benefits at Planview Unpluggedwide paid days off per year to recharge and relax. Generous PTO offerings (region dependent). Expected Salary Range for this role: $3500 to $4700 per month Region specific competitive benefit plans to support you at any life stage including parental leave, retirement, medical plans, wellness support, and remote work support. Paid time to volunteer through Planview’s Force for Good Week. Employee Referral bonus program. Weekly office lunches for hybrid team members and social events. Flexible work hours/environment. Now is a great time to join our team. If you are looking for a place to grow your career, innovate with best‑in‑class solutions, and build the future of connected work, Planview is the right place for you Diversity, Equity and Inclusion at Planview As part of our efforts to build a workforce with diverse talent, we encourage applications from Indigenous, Black, and other racialized communities, 2SLGBTQIA+ communities, people with neurodivergence, immigrants, people with disabilities, and other equity deserving groups. In addition to building a diverse workforce, we are committed to fostering an inclusive and accessible experience. Reasonable accommodations for the interview process can be requested by emailing #J-18808-Ljbffr
