{"id":2809112,"url":"https://alion.io/job/rb-global-staff-software-engineer-5","title":"Staff Software Engineer","company":{"id":2965322,"name":"RB Global","domain":"rbglobal.com","url":"https://alion.io/company/rbglobal","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":44,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Burnaby, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":106000,"max_usd":177000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":40},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"CircleCI","optional":false},{"name":"Data Vault","optional":false},{"name":"Datadog","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Java","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon S3","optional":true},{"name":"Git","optional":true},{"name":"HashiCorp Vault","optional":true},{"name":"LookML","optional":true}],"status":"live","first_seen_at":"2026-07-20T17:23:17Z","employer_posted_date":"2026-07-20","last_verified_at":"2026-10-21T08:40:56Z","board_verified":true,"closed_at":null,"days_open":92,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":92},"description":"About Us: Our culture is characterized by collaboration, inclusivity, and a commitment to continuous learning, fostering an environment where diverse perspectives lead to groundbreaking solutions. Team members are empowered to share ideas and experiment across teams in all aspects of the business, fostering innovation and creativity. Leading-edge technologies and inclusive practices drive both individual and collective growth as we modernize and grow our technical capabilities.\nPosition Overview:\nWe are seeking a highly skilled Staff Software Engineer to join our Data Engineering team. In this senior technical leadership role, you will drive the architecture, design, and evolution of our enterprise data platform. You will set technical direction, mentor engineers, and champion engineering excellence across the team. Collaborating closely with data architects, engineering managers, business analysts, analytics engineers, data scientists, and product teams, you'll define and deliver the next generation of data products and platform capabilities at scale. The Data Engineering team designs, builds, and operates scalable data pipelines that power analytics, reporting, and machine learning across the organization. Our platform ingests data from multiple transactional systems, streaming platforms, and third-party integrations into our cloud data warehouse on AWS. We are also investing in AI-driven development practices to accelerate delivery and improve data quality across the platform. Staff Engineers cultivate a healthy and respectful environment with a passion for driving innovation and excellence.\nDefine and drive the technical vision for the enterprise data platform, making key architecture and technology decisions that impact the entire data organization. \nLead the design of scalable, resilient ETL/ELT data pipelines using dbt, Python, and SQL, establishing patterns and best practices for the team to follow. \nArchitect and optimize data models and transformations within cloud data warehouses (Snowflake, BigQuery), ensuring performance, cost-efficiency, and maintainability. \nArchitect and standardize the use of Snowflake semantic views to establish a governed semantic layer, ensuring consistent metric definitions across Power BI, Tableau, and Looker. \nOwn the design and evolution of workflow orchestration using Apache Airflow (AWS MWAA), driving improvements in reliability and developer experience. \nLead the strategy for real-time streaming ingestion using Kafka and Snowpipe Streaming, evaluating trade-offs and guiding implementation. \nDrive CI/CD strategy and Infrastructure as Code practices using Terraform, CircleCI, Harness, and GitHub Actions - raising the bar for deployment reliability and velocity. \nChampion and advance data modeling standards (dimensional modeling, star/snowflake schemas, data vault) across the platform. \nDefine and implement observability strategy using Datadog, including SLOs, alerting, and dashboarding for pipeline and platform health. \nLead the adoption of AI-driven development tools and practices across the team, identifying high-impact opportunities to improve engineering productivity, code quality, and pipeline reliability. \nDefine and operationalize data governance metrics - including data quality scores, lineage coverage, ownership accountability, and policy adherence - to measure and continuously improve platform trustworthiness. \nLead investigation and resolution of complex data issues by analyzing end-to-end data lineage, identifying root causes, and driving systemic fixes to ensure the accuracy and trustworthiness of critical business metrics. \nEstablish and enforce data quality, governance, and lineage standards across the platform. \nMentor and support the growth of junior, intermediate, and senior engineers through knowledge sharing, pairing, technical guidance, and feedback. \nCollaborate with data architects, business analysts, engineering leadership, and cross-functional stakeholders to align technical strategy with business objectives. \nPartner with Engineering Managers to evaluate team performance, provide input for annual reviews, and participate in hiring initiatives. \nSupport and improve data consumption layers including Power BI, Tableau, and Looker. \nDrive engineering best practices including code reviews, technical documentation, incident response processes, and post-mortems. \nCollaborate with other Staff and Sr. Staff Engineers to create a community of practice and an overall organizational technical strategy for business success. \nInfluence and publish within the organization and industry to effect positive change in data engineering strategy and advance the craft of data platform development worldwide. **Perform other duties and responsibilities as assigned in support of organizational priorities. \nQualifications:\nBachelor's degree in Computer Science, Information Technology, or a related field. \n10+ years of experience in data engineering or software engineering, with at least 3+ years operating at a senior/staff level. \nStrong proficiency in Python (required) and SQL, with a solid foundation in object-oriented programming; experience with additional languages such as Java or Scala is a plus. \nExpert-level knowledge of cloud data warehouses (e.g., Snowflake, BigQuery) - Snowflake experience highly preferred, including semantic views, access policies, and governance capabilities. \nProven track record of designing and scaling data platforms in production environments. \nDeep experience with dbt for data transformation at scale. \nStrong expertise in data modeling - dimensional modeling, star/snowflake schemas, data vault. \nExtensive experience with workflow orchestration tools (Apache Airflow preferred). \nStrong understanding of streaming technologies (Apache Kafka, Snowpipe) and event-driven architectures. \nExperience with AWS services (S3, MWAA, Glue) in production data environments. \nProficiency with Infrastructure as Code (Terraform) and CI/CD tools (CircleCI, Harness, GitHub Actions). \nExperience with Datadog or similar monitoring and observability platforms, including defining SLOs and alerting strategies. \nDemonstrated ability to mentor engineers, lead design reviews, and influence technical direction without direct authority. \nStrong communication and collaboration skills, with the ability to work effectively in a hybrid team environment. \nProficiency with Git/GitHub and modern development workflows. \nStrong advocate for AI-driven development tools and methodologies. \nFamiliarity with BI tools such as Power BI, Tableau, or Looker/LookML. \nExperience with data governance and cataloging tools (Horizon Catalog or Select Star). \nKnowledge of HashiCorp Vault or secrets management solutions. \nExperience with data quality/testing frameworks. \nExperience contributing to or leading technical RFCs and architecture decision records (ADRs). \nWhy Join Us:\nOpportunity to work with cutting-edge technologies and drive innovation in software engineering with zero friction in your value stream. \nCollaborative and inclusive work environment that values diverse perspectives. \nAccess to continuous learning and professional development opportunities. \nCompetitive compensation and benefits package, including health insurance, retirement plans, and professional development opportunities. \nThis is your opportunity to work with an engineering-driven organization innovating and delivering on a scale well beyond other players in our industry. \nWe value innovation, consistent delivery, quality deliverables, and finding joy in our work while crushing our competition. \n**Candidates located near our Headquarters (Chicago, Fort Worth, Burnaby, Mississauga) could work Hybrid to those offices.\nEmployer:\nRB Global (NYSE: RBA) (TSX: RBA) is a leading, omnichannel marketplace that provides value-added insights, services and transaction solutions for buyers and sellers of commercial assets and vehicles worldwide. Through its auction sites in 13 countries and digital platform, RB Global serves customers in more than 170 countries across a variety of asset classes, including automotive, commercial transportation, construction, government surplus, lifting and material handling, energy, mining and agriculture.\nThe company's marketplace brands include Ritchie Bros., the world's largest auctioneer of commercial assets and vehicles offering online bidding, and IAA, a leading global digital marketplace connecting vehicle buyers and sellers. RB Global's portfolio of brands also includes Rouse Services, which provides a complete end-to-end asset management, data-driven intelligence and performance benchmarking system; SmartEquip, an innovative technology platform that supports customers' management of the equipment lifecycle and integrates parts procurement with both OEMs and dealers; Xcira, a leader in live simulcast auction technologies; and Veritread, an online marketplace for heavy haul transport.\nRB Global full-time employees are offered medical, dental, vision, and basic life insurances. Employees are able to enroll in our company's 401k plan and RB Global will match 100% for the first 4% contributed. Employees will also receive 15 days of PTO each year.\nEEO Information\nRitchie Bros. is an equal opportunity employer and ensures nondiscrimination in all activities in accordance with all applicable laws. This position is open to all qualified applicants who are legally entitled to work in the country in which this job is located. Candidate selection is made by Talent Acquisition. 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