{"id":134272,"url":"https://alion.io/job/achievers-senior-software-engineer-","title":"Senior Software Engineer, Analytics and Reporting Solutions","company":{"id":7187,"name":"Achievers","domain":"achievers.com","url":"https://alion.io/company/achievers","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":133000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":209},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Kanban","optional":false},{"name":"Looker","optional":false},{"name":"MySQL","optional":false},{"name":"PHP","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Tableau","optional":false},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-04-28T18:44:50Z","employer_posted_date":"2026-04-28","last_verified_at":"2026-10-16T11:48:22Z","board_verified":true,"closed_at":null,"days_open":170,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":170},"description":"Our Data Intelligence team builds backend services that turn data from our SaaS platform into high-value, actionable insights for our customers. We’re transforming the way data is used at Achievers, delivering high-impact, intelligent services that redefine how work gets done. Our tech stack leverages microservices built with Python and Go, running on GCP and Kubernetes. We're creating smoother, smarter, and more delightful experiences for our users, and we're solving real engineering problems at scale.\nNote: this is not a Data Engineering position\nWhy you'll love this role:\nLead high-impact initiatives that shape how millions of people experience work around the world.\nBring your unique perspective to complex and challenging projects - apply your expertise in architecture, influence technical direction, and mentor fellow team members.\nJoin a close-knit, no-ego, high-performing team that solves meaningful problems and celebrates successes together.\nWork alongside an experienced leadership team who is genuinely invested in your career growth.\nThrive in a fast-paced, high-growth environment where innovation is encouraged and your voice truly matters.\nHow you'll shape Data Intelligence at Achievers:\nDesign, develop, and maintain backend services that support reporting, analytics, data export, and data-driven product features \nCollaborate closely with product, data, and engineering teams to deliver actionable insights and AI-powered features that enhance user experience and decision-making \nDesign and implement well-structured APIs to integrate with internal and external BI tools (e.g., Looker, Tableau, Power BI) \nApply strong data modeling and transformation techniques to support dimensional analytics and interactive visualizations \nEnsure data quality, governance, privacy, and compliance standards are met across all systems \nParticipate in code reviews, technical design discussions, and architecture planning \nProvide mentorship and technical guidance to junior engineers \nContinuously research and experiment with new tools, frameworks, and technologies to drive innovation and efficiency \nContribute to agile development cycles, including sprint planning, estimation, and retrospectives \nExperience we feel will set you up for success:\nBachelor’s or Master’s degree in Computer Science or a related field \n5+ years of backend software engineering experience in enterprise environments, with a focus on reporting, analytics, and data-driven features such as data export and insights \nExpertise in Systems Design with proven ability to design complex, distributed systems at scale, with attention to performance, scalability, and fault tolerance\nStrong understanding of analytics fundamentals, including dimensional data modeling, data transformation, and data visualization best practices \nExperience with cloud platforms (GCP, AWS, or Azure) and cloud-based data warehousing (preferably Google BigQuery) \nProficient in server-side programming languages such as Python, PHP, or Go \nSolid experience with relational and NoSQL databases (e.g., MySQL, MongoDB), including schema design, data modeling, and performance tuning \nFamiliarity with streaming or near real-time data ingestion technologies (e.g., Kafka, Pub/Sub) \nStrong understanding of RESTful API design and integration with BI and analytics tools 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