{"id":1654531,"url":"https://alion.io/job/levio-data-engineer","title":"Data Engineer","company":{"id":58180,"name":"Levio","domain":"levio.ca","url":"https://alion.io/company/levio","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":80,"open_postings":39,"ghost_share":0.256,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":171,"computed_at":"2026-10-05T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":66000,"max_usd":155000,"period":"year","method":"role_country_seniority_unknown","sample_n":195},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon ECS","optional":false},{"name":"AWS","optional":false},{"name":"Data Vault","optional":false},{"name":"Docker","optional":false},{"name":"MS SQL","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon S3","optional":true},{"name":"Apache Kafka","optional":true},{"name":"CI/CD","optional":true},{"name":"CloudFormation","optional":true},{"name":"GitHub Actions","optional":true},{"name":"GitLab CI","optional":true},{"name":"IAM","optional":true},{"name":"Jenkins","optional":true},{"name":"Scrum","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2019-05-03T18:22:32Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-06T00:11:40Z","board_verified":true,"closed_at":null,"days_open":2712,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":2711},"description":"Are you looking to thrive in a stimulating work environment ? Join the leader in digital transformation and boost your career at Levio. We offer you a unique opportunity to develop your expertise within a high-caliber team. The variety of challenges presented by our clients will give you the opportunity to excel and keep your expertise at its peak. Experience the daily life of our clients and be a significant player in the most ambitious projects in technology and software solutions\nPOSITION OVERVIEW\nWe are seeking a Data Engineer to design, build, and support data feeds and integration pipelines from the ground up.\nThe role will involve integrating data from APIs, SFTP files, databases, and other sources; processing and transforming data using Python and SQL; developing Snowflake data pipelines; and deploying containerized workloads in AWS.\nThe ideal candidate is a hands-on data engineer with strong Python, Microsoft SQL Server, and Snowflake experience, along with the ability to troubleshoot production data feeds and work across cloud-based data and integration technologies.\nYOUR RESPONSIBILITIES\nDesign, develop, and maintain data feeds and integration pipelines from source systems through processing and downstream delivery.\nBuild integrations using REST APIs, SFTP, SQL Server, Snowflake, and other data sources.\nDevelop Python applications and scripts for data ingestion, transformation, validation, reconciliation, and processing.\nDevelop and support Snowflake data pipelines, including incremental data-loading patterns and Snowflake-native capabilities such as stages, Snowpipe, Streams, Tasks, and stored procedures.\nApply Data Vault modeling principles, including Hubs, Links, Satellites, hash keys, hash differences, and incremental loading.\nWrite and troubleshoot T-SQL for data extraction, transformation, validation, reconciliation, and data processing.\nContainerize Python-based data-processing applications using Docker and run them as AWS ECS tasks.\nMonitor and troubleshoot data feeds and pipelines, resolving issues involving APIs, SFTP transfers, data processing, SQL Server, Snowflake, and downstream systems.\nImplement appropriate error handling, logging, monitoring, and retry mechanisms to support reliable production data feeds.\nCollaborate with technical and business stakeholders to understand requirements, resolve data issues, and support end-to-end data integration workflows\nMaintain technical documentation for data pipelines, integrations, data models, and operational procedures..\nREQUIRED QUALIFICATIONS\nProduction experience developing data feeds, data integrations, or data pipelines.\nStrong Python development experience, including data processing and transformation.\nStrong hands-on experience with Microsoft SQL Server and T-SQL, including complex queries, joins, CTEs, aggregations, data manipulation, views, and stored procedures.\nHands-on experience with Snowflake, including data querying, loading, transformation, validation, and pipeline development.\nExperience with Data Vault modeling, including Hubs, Links, Satellites, hash keys, hash differences, and incremental data-loading patterns.\nExperience developing and supporting Snowflake pipelines using stages, Snowpipe, Streams, Tasks, and stored procedures.\nHands-on experience integrating with REST APIs, including authentication, response handling, error handling, and pagination.\nHands-on experience with SFTP/file-based data integrations.\nExperience processing structured data such as JSON, CSV, and XML.\nBasic working knowledge of Docker, including containerizing applications.\nBasic working knowledge of AWS ECS and running containerized workloads as ECS tasks.\nStrong troubleshooting and problem-solving skills, particularly in production data and integration environments.\nFamiliarity with version control and standard software development lifecycle practices\nPREFERRED QUALIFICATIONS\nExperience with AWS services, particularly ECS, S3, CloudWatch, IAM, and Secrets Manager.\nExperience with Kafka or similar event-streaming/message-broker technologies.\nExperience with CI/CD pipelines for building, testing, security scanning, and deploying Python and containerized applications.\nExperience with CI/CD tools such as Harness, GitHub Actions, GitLab CI, Jenkins, or similar platforms.\nExperience working with MongoDB, including querying, ingesting, updating, and processing data from MongoDB collections as part of data integration workflows.\nExperience with infrastructure-as-code tools such as Terraform or CloudFormation.\nExperience implementing data-quality, validation, reconciliation, monitoring, alerting, and operational support processes.\nFamiliarity with AWS networking and security concepts\nExperience working in an Agile/Scrum development environment.\nWHAT SUCCESS LOOKS LIKE\nThe successful candidate will be able to take a data-feed requirement from source to production, developing the necessary Python processing and integrations, working with SQL Server and Snowflake, applying appropriate data\nmodeling and incremental-loading patterns, containerizing the solution, and deploying it through AWS.\nThey will also be able to independently troubleshoot production issues across the end-to-end workflow:\nAPI / SFTP / Database / Event Stream - Python Processing - SQL Server / Snowflake / MongoDB - AWS ECS - Downstream Systems\nThe candidate should be comfortable working independently, collaborating across technical teams, and taking ownership of the reliability and ongoing operation of the data pipelines they build.\nBENEFITS AND WORK ENVIRONMENT\nLevio offers a comprehensive and flexible benefits package designed to support your professional growth and personal wellbeing, including: \n4 weeks of cumulative vacation starting from day one \nFlexible workinghours \nProfessional Development Allowance (PDA) for training, computer equipment, and physical activities \nTraining tailored to your areas of expertise \nRegistered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary \nModular group insurance plan \nPublic transportation or parking reimbursement when required \nReferralbonuses \n11 statutoryholidays \nPersonaldays \nAn active social life (5to7 events, social club, healthy snacks, coffee, and more) \nEmployment type: Full time, permanent \n\nEmployment Equity \nLevio subscribes to the principle of employment equity and applies an equal access employment program for women, Indigenous peoples, visible minorities, ethnic minorities, and persons with disabilities. \nWe value diversity and inclusion and are committed to creating a healthy, accessible, and rewarding work environment that highlights the unique contributions of our employees. Accommodations are available upon request for candidates participatingin all aspects of the selection process.","description_format":"text","description_chars":6822,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Professional development","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-10-02T01:15:31Z"}],"visa":[],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.121,"p_room":0.28,"age_days":2711,"expected_fill_days":171,"reasons":["conf:1","ghost","win:tail","crowd:"],"computed_at":"2026-10-05T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/levio-data-engineer","json_url":"https://alion.io/job/levio-data-engineer.json","meta":{"generated_at":"2026-10-06T00:31:10Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":623,"day_limit":5000,"remaining_today":4377,"minute_limit":60,"resets_at":"2026-10-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":58180},"rest":"https://alion.io/mcp/rest/get_company?id=58180"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flevio-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Flevio-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Flevio-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/levio-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flevio-data-engineer"}]}