{"id":2352757,"url":"https://alion.io/job/victaulic-snowflake-dbt-developer","title":"Snowflake dbt Developer","company":{"id":1885918,"name":"Victaulic","domain":"victaulic.com","url":"https://alion.io/company/victaulic","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":23,"ghost_share":0,"stale_share":0.826,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":67000,"max_usd":126000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":245},"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache HTTP Server","optional":false},{"name":"Apache Hudi","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Cortex","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"LLM","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-10-12T14:11:55Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-13T03:53:01Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Description\nABOUT VICTAULIC\nVictaulic, headquartered in Easton, Pennsylvania, is the global leader in mechanical pipe joining solutions, delivering advanced technologies and engineering services to address complex piping challenges faced by engineers, site owners and contractors. Since 1919, our innovative solutions have improved construction productivity and reduced risks, ensuring projects are completed safely, on time, and within budget. With over 6,000 employees spanning 50+ locations worldwide, our teams are dedicated to delivering advanced technologies and engineering expertise that address real-world challenges across a wide range of industries. Our sustainable solutions, made from high quality, graded scrap steel, promote circular construction by making piping systems infinitely reconfigured and minimizing environmental impact. Today, our high-quality products are used in more than 140 countries, supporting some of the world's most critical and prestigious structures.\nAn Industry Leader With a Heart as Big as Its Ambition and Innovation\nAt Victaulic, we're committed to constructing a better world for and with our people.\nLet's Build a Better World Together.\nOur commitment to our people is built on four pillars:\nWe build from within. \nWe stand behind our people. \nWe foster an environment for constant learning. \nWe engineer change for a more stable and sustainable world. \nYOUR IMPACT STARTS HERE\nWe're seeking a skilled Snowflake dbt Developer to join our growing IT team and build the dbt-based data transformations and Snowflake-native data applications that power reporting, integrations, and AI. This role will focus primarily on developing and extending our production dbt project across the medallion architecture, building the semantic models that power BI and AI consumption, and delivering user-facing solutions with Snowflake Streamlit. The ideal candidate is a hands-on developer with deep expertise in dbt and Snowflake, strong data modeling and SQL skills, a working understanding of data warehousing and lakehouse patterns, and experience building data applications for business users.\nWHAT YOU'LL BUILD & OWN\ndbt Transformation Development (50%)\nDevelop, test, and maintain dbt models across the silver, gold, and platinum layers of the medallion architecture. \nExtend the production dbt project, including migrating remaining legacy transformation logic, such as Qlik Data Integration, into dbt. \nBuild and maintain semantic-layer models in the consumption layer to support BI, integration, and AI consumers. \nImplement incremental models, snapshots, and materialization strategies optimized for Snowflake performance and cost. \nAuthor dbt tests, including generic, singular, and source freshness tests, and enforce layer contracts, naming conventions, and coding standards. \nMaintain dbt documentation, lineage, and exposures so downstream consumers can trust and trace data. \nDevelop reusable macros and packages to standardize transformation patterns across subject areas. \nParticipate in pull request reviews and follow the team's GitHub branching and release process for the dbt codebase. \nTroubleshoot and resolve dbt model failures, data quality issues, and performance bottlenecks. \nPartner with BI analysts and business stakeholders to translate reporting requirements into well-structured dbt models. \nSnowflake Native Application Development (25%)\nDesign and develop interactive data applications using Snowflake Streamlit for self-service analytics and operational workflows. \nImplement data-driven solutions leveraging Snowflake's native capabilities to enable business user productivity. \nBuild applications that enable business users to interact with data through intuitive interfaces. \nCreate reusable application frameworks and component libraries for rapid solution delivery. \nIntegrate Snowflake Native Apps and third-party marketplace applications to extend platform capabilities. \nDevelop custom UDFs and stored procedures to support advanced application logic and business rules. \nData Modeling and Platform Implementation (15%)\nImplement data models and pipelines that follow established bronze, silver, gold, and platinum medallion architecture standards. \nApply data warehouse, data lake, and lakehouse patterns, including Apache Iceberg and other open table formats, as directed by the data architecture team. \nImplement secure data sharing solutions using Snowflake Marketplace and data sharing capabilities. \nProcess semi-structured data, including JSON, Parquet, and Avro, into well-modeled, consumable structures. \nOptimize query performance, clustering, and warehouse usage for dbt workloads and applications. \nContribute recommendations on modeling patterns and platform features to architecture discussions. \nAI Support Through Semantic Modeling (10%)\nBuild and maintain dbt semantic models, metrics, and business definitions that AI applications and agents can consume consistently. \nDevelop Snowflake semantic views and semantic model definitions that support natural-language querying tools such as Snowflake Cortex Analyst. \nEnrich dbt models with descriptions, column-level documentation, synonyms, and metadata that improve AI accuracy and retrieval. \nPrepare curated, AI-ready datasets in the consumption layer with clear grain, relationships, and business context. \nCollaborate with AI engineering teams to translate AI use-case requirements into semantic and data model changes. \nValidate that AI-generated answers align with governed metric definitions and help diagnose data-related accuracy issues. \nWHAT YOU BRING\nEducation and Experience\nBachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field. \nMinimum of 3 years of experience in data engineering, analytics engineering, or data development roles. \nAt least 2 years of hands-on experience developing and maintaining dbt projects in production. \nAt least 2 years of hands-on experience with the Snowflake platform, including advanced features. \nProven track record of developing data applications or analytical solutions for business users. \nTechnical Skills\ndbt Development: Production experience with dbt, including model design, Jinja and macros, testing, packages, documentation, and deployment on Snowflake. \nData Modeling: Strong dimensional modeling skills and experience designing layered transformations, including staging, intermediate, and marts. \nSemantic Modeling: Experience defining metrics, dimensions, and business logic in a semantic layer for BI and AI consumption. \nSnowflake Expertise: Advanced knowledge of Snowflake architecture, including data warehousing, data lakes, and emerging lakehouse features. \nSQL Proficiency: Expert-level SQL skills with experience in complex analytical queries and optimization. \nApplication Development: Proficiency with Snowflake Streamlit for building interactive data applications. \nPython Programming: Strong Python skills for Snowpark development, data processing, and application logic. \nVersion Control: Experience with GitHub, pull request workflows, and branching strategies for data projects. \nSpecialized Knowledge\nExperience migrating legacy ETL/ELT transformation logic into dbt. \nExperience with dbt incremental strategies, snapshots, and model contracts on Snowflake. \nUnderstanding of the dbt Semantic Layer (MetricFlow) and Snowflake semantic views. \nFamiliarity with how semantic models and metadata support LLM-based tools such as Snowflake Cortex Analyst. \nKnowledge of medallion architecture patterns and data quality frameworks. \nUnderstanding of open table formats, including Apache Iceberg, Delta Lake, and Apache Hudi, and their integration with Snowflake. \nExperience with semi-structured data processing, including JSON, Parquet, and Avro, in Snowflake. \nFamiliarity with Snowflake features including Dynamic Tables, Snowpipe, Tasks, and Streams. \nUnderstanding of data sharing, marketplace solutions, and cross-cloud data collaboration. \nWHAT SETS YOU APART\nPreferred Qualifications\nCertifications: dbt Analytics Engineering Certification; Snowflake SnowPro Core, Advanced Architect, or Data Engineer certification. \ndbt Ecosystem: Experience with dbt packages such as dbt_utils and dbt_expectations, dbt Cloud or dbt Core orchestration, and data observability tools. \nAI/ML Collaboration: Experience supporting AI or data science teams and understanding how data quality and semantics affect model output. \nDevelopment Frameworks: Experience with modern web frameworks, API development, and microservices. \nCloud Platforms: Knowledge of AWS, Azure, or Google Cloud data services and integration patterns. \nData Governance: Understanding of data cataloging, metadata management, and governance frameworks. \nKey Competencies\nInnovation and Solution Design\nCreative problem-solving approach with the ability to design elegant solutions for complex business requirements. \nStrong understanding of user experience principles and ability to design intuitive data applications. \nProactive in identifying opportunities to leverage emerging Snowflake and dbt capabilities for business value. \nAbility to balance new approaches with practical implementation and long-term maintainability. \nTechnical Excellence\nDeep expertise in data modeling, dbt, and SQL development. \nStrong analytical mindset for performance optimization and troubleshooting complex issues. \nCommitment to code quality, testing, documentation, and maintainable transformation design. \nContinuous learning approach to staying current with Snowflake and dbt feature sets. \nCommunication and Collaboration\nExcellent ability to explain technical concepts to non-technical business stakeholders. \nStrong presentation skills for demonstrating applications and gathering user feedback. \nCollaborative approach to working with data engineers, analysts, AI engineers, and business users. \nAbility to translate business requirements into data models, metrics, and implementation plans. \nBusiness Partnership\nCustomer-focused mindset with emphasis on delivering solutions that drive business value. \nUnderstanding of how data models and applications support business processes and decision-making. \nAbility to gather requirements, iterate on solutions, and incorporate user feedback effectively. \nStrategic thinking about how consistent business definitions enable reliable reporting and AI. \nWHAT WE OFFER\nBuild A Better Career\nCompetitive compensation with performance-based incentives \nCareer development programs and internal promotion pathways-we build from within \nTuition reimbursement and continuous learning opportunities \nBuild A Better Future\nComprehensive health, dental, and vision coverage \nRetirement savings plans with company match \nLife insurance and disability coverage \nBuild A Better You\nPaid time off, holidays, and flexible work arrangements where applicable \nEmployee Assistance Programs (EAP) and wellness resources \nInclusive, team-oriented culture where people look out for one another \nBuild A Better World\nJoin a company whose products contribute to a safer, more sustainable built environment every day.\nIMMIGRATION SPONSORSHIP\nVictaulic does not provide immigration sponsorship (e.g., H-1B, TN, or other work visa sponsorship) for this position. All applicants must be currently authorized to work in the applicable country on a full-time basis without the need for employer-sponsored immigration support now or in the future.\nEQUAL EMPLOYMENT OPPORTUNITY\nVictaulic is an Equal Employment Opportunity (EOE/M/F/Vets/Disabled) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, gender, color, religion, national origin, age, disability, veteran status, sexual orientation, genetic data, or other legally protected status. (Background checks may be required as part of our pre-employment process).\nVICTAULIC STAFFING PARTNER COMMUNICATION POLICY\nAll staffing agen...","description_format":"text","description_chars":12712,"description_truncated":true,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Flexible schedule","Life insurance","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Mechanical Components & Fasteners","Building Materials"],"lifecycle":[{"event":"open","at":"2026-10-12T14:11:55Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 4 · green card filings: 1","filings_12m":4,"filings_prev_12m":3,"green_card_filings_12m":1,"median_offered_wage_usd":105500,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":60,"band":"ok","label":"Likely open","p_open":1,"p_active":0.602,"p_room":1,"age_days":0,"expected_fill_days":36,"reasons":["conf:1","stale_co","win:early","comp:brand"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/victaulic-snowflake-dbt-developer","json_url":"https://alion.io/job/victaulic-snowflake-dbt-developer.json","meta":{"generated_at":"2026-10-13T06:18:58Z","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_verified","counted_by":"address","units_charged":1,"used_today":9848,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":1885918},"rest":"https://alion.io/mcp/rest/get_company?id=1885918"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fvictaulic-snowflake-dbt-developer"},{"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%2Fvictaulic-snowflake-dbt-developer"},{"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%2Fvictaulic-snowflake-dbt-developer"},{"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/victaulic-snowflake-dbt-developer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fvictaulic-snowflake-dbt-developer"}]}