{"id":1287955,"url":"https://alion.io/job/buyerlink-data-engineer-buyerlink","title":"Data Engineer - Buyerlink","company":{"id":2997675,"name":"Buyerlink","domain":"buyerlink.co","url":"https://alion.io/company/buyerlink-co","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Victoria, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"Cortex","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Tableau","optional":false},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-09-26T06:20:15Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-09-26T12:22:45Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We’re looking for a modern Data Engineer who thrives at the intersection of data, cloud, and AI. You build the systems that power insight - scalable pipelines, cloud-native data platforms, and intelligent workflows that turn raw data into business value at speed. In this role, you’ll architect and own our data infrastructure end-to-end: designing pipelines, optimizing data warehouses on platforms like Snowflake and Redshift, and leveraging AI-assisted tooling and agentic development practices to move faster and smarter. You bring a builder’s mindset, are fluent in modern data stacks, and are energized by a rapidly evolving technology landscape.\nThis is a full-time, in-person role at our Victoria office.\nWhat you’ll do:\nSupport the building of data acquisition and preparation processes \nCreating data integration scripts and executing analytical queries that transform and utilize data for business insights \nData pipeline maintenance/testing \nFacilitate data cleansing and data enrichment \nIdentify ways to improve data reliability, efficiency, and quality \nPrepare data for predictive and prescriptive modeling \nSupport machine learning operations (MLOps) \nEnable searching, data visualization, and advanced analytics - including building and maintaining dashboards and reports in Tableau and Power BI to drive self-serve analytics across the business \nDesign, build, and maintain a semantic layer of data - a governed, business-ready data foundation that serves as the trusted source for BI, reporting, and AI data agents \nWork with stakeholders to understand needs for data structure, availability, and accessibility \nSelecting and integrating any data tools and frameworks required to provide requested capabilities \nImplement data security and protection practices \nDesigning and developing databases \nCreate technical documentation, such as user manuals, process flow diagrams, system architecture diagrams, etc. \nResponsible for ensuring the accuracy and quality of data \nWhat you bring:\nEXPERIENCE/TRAINING/EDUCATION:\nAt least four years’ experience is preferred. \nCOMMUNICATION SKILLS:\nAbility to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. \nAbility to write reports, business correspondence, and procedure manuals. \nAbility to effectively present information and respond to questions from groups of managers, clients, customers, and the general public. \nProblem-solving, teamwork, and effective communication with both technical and non-technical audiences are crucial. \nREASONING ABILITY:\nHigh Skills:\nAbility to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. \nAbility to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. \nMATHEMATICAL SKILLS:\nHigh Skills:\nAbility to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. \nAbility to apply concepts such as fractions, percentages, ratios, and proportions to practical situations. \nSKILLS/ABILITIES:\nKnowledge of various ETL techniques and frameworks \nStrong background with data modeling, data access, and data storage techniques \nProficiency in Application Development code like Python, C#, R or Java \nStrong background to manage the entire back-end development life cycle of a data warehouse \nProficiency understanding of Data Store technologies like Relational Databases and NoSQL but not limited to those \nKnowledge of cloud infrastructure and services like Azure, AWS, or GCP \nExperience with integration of data from multiple data sources \nBeing able to set up and manage ETL tools and pipelines that support these projects \nProficiency understanding of distributed computing principles \nProficiency in BI and data visualization tools including Tableau and Power BI \nExperience with Amazon Redshift and cloud data warehouse technologies \nExperience with Snowflake, including Snowflake Cortex for AI-powered analytics and data processing \nExperience applying AI tools and agentic development practices to data engineering workflows - including LLM-assisted pipeline development, AI-powered code generation, and autonomous agent orchestration \nCompensation: $90,000-$120,000 CAD\nCompensation will be determined by factors including knowledge and skills, role-specific qualifications, market location, and experience. Life at Buyerlink:\nTake part in our Service Days program - where you'll be rewarded with paid time off for volunteering and making a positive impact in your community.\nJoin forces with our diverse Global Community and connect with team members from all over the world.\nWe offer a comprehensive extended health benefits package to ensure your total well-being.\nWe're dedicated to your professional growth and will support you every step of the way on your career path with ongoing Professional Development opportunities.\nEnjoy delectable, complimentary lunches, and participate in exciting team events in-office\nWho we are:\nBuyerlink perfectly matches businesses to consumers at the moment of intent, delivering performance-based marketing across any industry. From leading the market in new car sales to powering demand for home services nationwide, Buyerlink scales with what businesses need. As a One Planet Group company, Buyerlink proves that business success and the betterment of humanity advance together.\nPrivacy:\nThe types of Personal Information we may collect (directly from you or from Third Party-sources) and our privacy practices depend on the nature of the relationship you have with Buyerlink and the requirements of applicable law. We endeavor to collect information only relevant for the purposes of processing. As part of our recruitment process, certain roles at Buyerlink may include a technical or skills-based assessment administered through an approved third-party provider. In some cases, and only with your explicit consent at the time of testing, AI-based proctoring or monitoring (such as webcam, screen activity, or behavioral signals) may be used to help maintain assessment integrity. By continuing, you agree to Buyerlink's privacy policy, which can be accessed here.","description_format":"text","description_chars":6292,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Sales & Marketing","Digital Marketing"],"lifecycle":[{"event":"open","at":"2026-09-26T06:20:15Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":17,"reasons":["conf:12","win:early"],"computed_at":"2026-09-27T00:38:11Z"},"pay":null,"html_url":"https://alion.io/job/buyerlink-data-engineer-buyerlink","json_url":"https://alion.io/job/buyerlink-data-engineer-buyerlink.json","meta":{"generated_at":"2026-09-27T00:38:11Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":548,"day_limit":5000,"remaining_today":4452,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}