{"id":1242115,"url":"https://alion.io/job/rbc-senior-data-engineer","title":"Senior Data Engineer","company":{"id":1757835,"name":"Royal Bank of Canada","domain":"rbc.com","url":"https://alion.io/company/rbc-com","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Columbia, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":82000,"max_usd":200000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":61},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"Linux","optional":false},{"name":"Oracle","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Unix","optional":false},{"name":"Windows","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Confluence","optional":true},{"name":"Docker","optional":true},{"name":"GitHub","optional":true},{"name":"Jenkins","optional":true},{"name":"Kubernetes","optional":true},{"name":"OpenShift","optional":true},{"name":"Power BI","optional":true},{"name":"Presto","optional":true},{"name":"Red Hat","optional":true},{"name":"Snowflake","optional":true},{"name":"Superset","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-09-21T00:00:00Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-09-26T02:17:32Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Job Description\nWhat is the opportunity?\nIn this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the central repository of finance related datasets, with capabilities including the ingestion of positional/trade, sub-ledger, general-ledger trial balances, and reference data; as well as data enrichment, adjustment, reconciliation, analytics and reporting functions.\nWhat will you do?\nWork with the Product Owner, Product Manager, and Development Lead to understand and determine best mix of development and technical solutions to meet business requirements and project objectives.\n\nWork on detailed design and development phases of project initiatives; identifying, tracking and resolving technical issues.\n\nEnsure design/development solutions are aligned to the data/architecture strategy.\n\nEnsure adequate technical/reference documentation and training is in place.\n\nProvide assistance to the application support team in troubleshooting and resolving production issues.\n\nCoordinate with the Quality Engineering team on all aspects of testing and verification, ensuring quality assurance testing is performed for all changes.\n\nImpart knowledge, benefit of experience, and mentoring to other members of the team.\n\nMust-have:\nTotal Experience 5+ years’ , with at least 3 years experience with Spark (Scala/Python) , Big Data ,Databricks, Airflow ,DBT\n\nSolid experience (as evidenced by resume) with Apache Hadoop/Hive ETL/data-pipelines or other big-data platform technology/tools Cloudera\n\nSolid experience (as evidenced by resume) with SQL, Oracle/PL-SQL or any ANSI-compliant RDBMS platform preferred.\n\nExperience on Windows/Unix/Linux OS.\n\nUndergraduate degree/diploma in computer science/engineering or related technology discipline.\n\nSolid communication and time management skills.\n\nNice-to-have:\nDemonstrable experience with DevOps tools/technologies, including continuous integration/delivery tools and technologies such as GitHub, Jenkins, Synk, JIRA, Confluence, Airflow\n\nDemonstrable experience with containerization tools and technologies such as Docker, Kubernetes, Redhat OpenShift Container Platform (OCP).\n\nExperience with Capital Markets or other financial technology services’ middle/back office environments.\n\nExperience with/exposure to cloud technology platforms such as PCF (on-prem), AWS. Azure (off-prem).\n\nExperience with/exposure to Business Intelligence (BI)/Analytics/Reporting tools, such as Tableau, Datameer, Power BI, Presto, Snowflake, Apache Superset, etc.\n\nExperience with/exposure with Test driven development (TDD) and automated unit testing.\n\nWhat’s in it for you?\nWe thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.\nA comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable\n\nLeaders who support your development through coaching and managing opportunities\n\nAbility to make a difference and lasting impact\n\nWork in a dynamic, collaborative, progressive, and high-performing team\n\nA world-class training program in financial services\n\nFlexible work/life balance options\n\nOpportunities to do challenging work\n\nOpportunities to take on progressively greater accountabilities\n\nOpportunities to building close relationships with clients\n\nAccess to a variety of job opportunities across business and geographies\n\n Job Skills\nBig Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements AnalysisAdditional Job Details\nAddress:\n745 THURLOW ST:VANCOUVERCity:\nVancouverCountry:\nCanadaWork hours/week:\n37.5Employment Type:\nFull timePlatform:\nTECHNOLOGY AND OPERATIONSJob Type:\nRegularPay Type:\nSalariedPosted Date:\n2026-07-27Application Deadline:\n2026-11-29Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above\nOur Employment Opportunities\nAt RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.\nJoin our Talent Community\nStay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.\nExpand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.\nRBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.","description_format":"text","description_chars":5600,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-25T16:55:57Z"},{"event":"close","at":"2026-09-25T16:58:10Z"},{"event":"reopen","at":"2026-09-25T17:03:29Z"},{"event":"close","at":"2026-09-25T17:06:06Z"},{"event":"reopen","at":"2026-09-25T19:08:09Z"}],"liveness":{"score":82,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.823,"p_room":1,"age_days":5,"expected_fill_days":43,"reasons":["conf:0","win:early","comp:brand"],"computed_at":"2026-09-26T02:23:53Z"},"pay":null,"html_url":"https://alion.io/job/rbc-senior-data-engineer","json_url":"https://alion.io/job/rbc-senior-data-engineer.json","meta":{"generated_at":"2026-09-26T02:23:53Z","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":2457,"day_limit":5000,"remaining_today":2543,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}