{"schemaVersion":"jobsearcher.job.v1","id":"fd4df54891eebb042e6656cd","url":"https://jobsearcher.com/jobs/fd4df54891eebb042e6656cd","canonicalUrl":"https://jobsearcher.com/jobs/fd4df54891eebb042e6656cd","title":"Senior Data Engineer","description":"Title: Senior Data Engineer Location: Remote (EST Preferred)Duration: Contract-to-hire, with the intent to convert to full-time after 6 months. GC's and US Citizens onlyAbout the RoleWe recently launched a new cloud CRM, and the focus now is making our data trustworthy and useful. As a Senior Data Engineer, you'll extend our existing pipelines and build the warehouse layers, and quality checks in Snowflake that analysts, product teams, and AI assistants rely on for consistent answers. You'll work in a small, senior, collaborative team where data and engineering sit close together, and where your implementation choices shape how the platform grows.What you’ll doTake ownership of our existing CRM-to-Snowflake pipeline and build new ones from other systems into Snowflake on AWS and/or Azure, with monitoring, recovery, and documentation others can run.Help shape what replaces Tableau for our executive team. Partner with BI and business leaders to define the metrics that matter, evaluate reporting options, and build trusted dashboards on governed Snowflake data.Extend the live Dynamics 365-to-Snowflake feed as CRM capabilities evolve, and bring data from additional business systems, including acquisitions, into a consistent reporting foundation.Implement a bronze/silver/gold (medallion) architecture, with clear promotion rules, quality gates, and lineage.Turn data models into working tables and views, including history handling that holds up in an audit.Test and version the consumption side of our CRM data contract, in partnership with our CRM team, so source changes don't surprise downstream users.Make data quality visible, with checks and reporting the business can understand.Enable governed access for dashboards, reporting, and AI assistants, with role-based controls suited to regulated data.Share what you know, helping early-career colleagues learn through real, reviewed work.What success looks likeFirst 90 days: you own the existing CRM-to-Snowflake pipeline, with monitoring, documentation, and contract tests in place, and you've mapped the rest of our data landscape.Six months: one business domain runs end to end through bronze, silver, and gold, built on that ingestion.Year one: our dashboards and AI assistant access (including MCP-based connections) draw from governed gold-layer data.What we’re looking forRequired5+ years in data engineering, with strong SQL and working fluency in Python2+ years running a cloud data warehouse in production, ideally Snowflake (ingestion and transformation features, access control, warehouse sizing, cost management)Experience using AI-assisted development tools to speed up data engineering or reporting work, with a clear approach to validating generated SQL, Python, and dashboard logic.Data modeling you can implement and defend, including dimensional design and history handlingExperience building medallion (bronze/silver/gold) or equivalent layered architectures (e.g., raw/staging/marts) with quality gates and lineageHands-on cloud experience on AWS and/or Azure, including orchestration and serverless functionsGit, CI/CD, and automated testing as normal practiceCare with sensitive and regulated data: access control and auditability as design constraintsClear communication with business stakeholders, including the ability to push back with evidenceA habit of documenting what you buildPreferredChange-data-capture ingestion from CRM or ERP systems (Dynamics 365 or Dataverse a plus)dbt or similar transformation toolingExperience building governed dashboards and replacing legacy BI toolsFamiliarity with Snowflake Cortex or MCP-style connectors for AI access to dataHealthcare, credentialing, assessment, or nonprofit experience","company":"Pumex Computing","rawCompany":"pumex computing","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-11-05T07:48:53.460Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Engineer","description":"Title: Senior Data Engineer Location: Remote (EST Preferred)Duration: Contract-to-hire, with the intent to convert to full-time after 6 months. GC's and US Citizens onlyAbout the RoleWe recently launched a new cloud CRM, and the focus now is making our data trustworthy and useful. As a Senior Data Engineer, you'll extend our existing pipelines and build the warehouse layers, and quality checks in Snowflake that analysts, product teams, and AI assistants rely on for consistent answers. You'll work in a small, senior, collaborative team where data and engineering sit close together, and where your implementation choices shape how the platform grows.What you’ll doTake ownership of our existing CRM-to-Snowflake pipeline and build new ones from other systems into Snowflake on AWS and/or Azure, with monitoring, recovery, and documentation others can run.Help shape what replaces Tableau for our executive team. Partner with BI and business leaders to define the metrics that matter, evaluate reporting options, and build trusted dashboards on governed Snowflake data.Extend the live Dynamics 365-to-Snowflake feed as CRM capabilities evolve, and bring data from additional business systems, including acquisitions, into a consistent reporting foundation.Implement a bronze/silver/gold (medallion) architecture, with clear promotion rules, quality gates, and lineage.Turn data models into working tables and views, including history handling that holds up in an audit.Test and version the consumption side of our CRM data contract, in partnership with our CRM team, so source changes don't surprise downstream users.Make data quality visible, with checks and reporting the business can understand.Enable governed access for dashboards, reporting, and AI assistants, with role-based controls suited to regulated data.Share what you know, helping early-career colleagues learn through real, reviewed work.What success looks likeFirst 90 days: you own the existing CRM-to-Snowflake pipeline, with monitoring, documentation, and contract tests in place, and you've mapped the rest of our data landscape.Six months: one business domain runs end to end through bronze, silver, and gold, built on that ingestion.Year one: our dashboards and AI assistant access (including MCP-based connections) draw from governed gold-layer data.What we’re looking forRequired5+ years in data engineering, with strong SQL and working fluency in Python2+ years running a cloud data warehouse in production, ideally Snowflake (ingestion and transformation features, access control, warehouse sizing, cost management)Experience using AI-assisted development tools to speed up data engineering or reporting work, with a clear approach to validating generated SQL, Python, and dashboard logic.Data modeling you can implement and defend, including dimensional design and history handlingExperience building medallion (bronze/silver/gold) or equivalent layered architectures (e.g., raw/staging/marts) with quality gates and lineageHands-on cloud experience on AWS and/or Azure, including orchestration and serverless functionsGit, CI/CD, and automated testing as normal practiceCare with sensitive and regulated data: access control and auditability as design constraintsClear communication with business stakeholders, including the ability to push back with evidenceA habit of documenting what you buildPreferredChange-data-capture ingestion from CRM or ERP systems (Dynamics 365 or Dataverse a plus)dbt or similar transformation toolingExperience building governed dashboards and replacing legacy BI toolsFamiliarity with Snowflake Cortex or MCP-style connectors for AI access to dataHealthcare, credentialing, assessment, or nonprofit experience","datePosted":"2026-11-05T07:48:53.460Z","dateModified":"2026-11-05T07:48:53.460Z","hiringOrganization":{"@type":"Organization","name":"Pumex Computing","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fd4df54891eebb042e6656cd"},"url":"https://jobsearcher.com/jobs/fd4df54891eebb042e6656cd"}}