{"schemaVersion":"jobsearcher.job.v1","id":"8921ba96dc2e8ed2fbfe566e","url":"https://jobsearcher.com/jobs/8921ba96dc2e8ed2fbfe566e","canonicalUrl":"https://jobsearcher.com/jobs/8921ba96dc2e8ed2fbfe566e","title":"Data Engineer","description":"Data EngineerJob Type: Full timeLocation: RemoteAbout the CompanyOur client is a venture backed AI startup building an enterprise reasoning platform that helps large organizations make and execute growth decisions. Their product combines advanced AI reasoning, data activation, and agentic workflows to turn strategy into action and deliver measurable business outcomes.About the RoleWe are searching for an ambitious go getter who welcomes the challenge of meeting the needs of a hyper growth startup. As a Data Engineer, you will contribute to the company's data infrastructure, playing a key role in developing and maintaining the systems that power its AI platform. Your work will directly influence product features, client outcomes, and strategic business decisions.You will collaborate with Forward Deployed Engineers, Data Scientists, Backend Engineers, Client IT, and business stakeholders to build and support scalable pipelines that serve billions of rows of structured and unstructured data weekly, enabling high impact insights across multiple industries.ResponsibilitiesTechnical DevelopmentImplement and support scalable, high performance data infrastructure to handle complex data processing and integration across platformsExtract and ingest data from a wide variety of structured and unstructured web sourcesDevelop developer facing tools, abstractions, and frameworks that empower engineering teams to easily build and manage data pipelinesLeverage modern cloud platforms (e.g., Snowflake, Databricks) to execute ETL jobs, share data securely, and enforce granular access controlsWork with AI driven autonomous agents to streamline data operations and enable advanced data exploration on client datasetsEngineer and manage resilient ETL/ELT pipelines using tools like Airflow, Snowpark, Databricks, Cloud Run, and Apache BeamDefine, deploy, and maintain data infrastructure using Infrastructure as Code (IaC) principlesCollaborationPartner with Forward Deployed Engineers and Data Scientists to translate business and machine learning requirements into production ready data workflowsEnsure consistent, timely delivery of clean, high quality data to drive model development and core product featuresMonitoring and ReliabilityCreate and manage real time monitoring systems for data ingestion and transformation pipelinesAutomate security scanning and compliance checks within automated pipeline workflowsProactively identify and resolve issues to maintain high levels of system reliability and data integrityMinimum Qualifications2 to 5 years of experience in Data Engineering or Data Infrastructure rolesBachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)Proven experience building reliable data pipelines supported by automated unit and integration testsDeep understanding of ETL/ELT architecture, data modeling best practices, and distributed systemsHands on experience with agentic systems, ideally for data extraction and validationBackground using distributed computing frameworks (e.g., Apache Beam, Spark)Demonstrated skill using AI driven tooling to automate workflows and accelerate software engineeringStrong debugging, analytical, and technical problem solving capabilitiesExcellent communication skills with a track record of effective cross functional collaborationPreferred QualificationsExperience delivering enterprise software solutions for Fortune 500 clients across Financial Services, Industrials, or Consumer ProductsPrior experience in high growth startup environmentsExperience working with data virtualization layers like Trino, Starburst, and PrestoInterest in market dynamics, current industry events, and emerging technology trendsExperience designing and creating custom Agent Skills and/or Model Context Protocol (MCP) integrationsProficiency in leveraging APIs and modern web scraping techniques for data ingestionFamiliarity with Infrastructure as Code tooling such as TerraformFamiliarity with graph databases (e.g., Neo4j) and graph query languagesTech StackLanguages: PythonFrameworks: Apache Beam, Spark, FastAPI, AirflowCloud: Google Cloud Platform (GCP), AWS, AzureData: Elasticsearch, Snowflake, Databricks, Neo4j, PostgreSQL, MongoDB, GCSInfrastructure and DevOps: Docker, Terraform, GitHub Actions, Cloud RunFrontend (collaboration context): Next.jsPerksCompetitive compensation and equity in a rapidly growing companyUnlimited vacation100% company paid health, dental, and vision insurance","company":"Primis Defunct","rawCompany":"primis defunct","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-05T13:13:40.018Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-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":"Data Engineer","description":"Data EngineerJob Type: Full timeLocation: RemoteAbout the CompanyOur client is a venture backed AI startup building an enterprise reasoning platform that helps large organizations make and execute growth decisions. Their product combines advanced AI reasoning, data activation, and agentic workflows to turn strategy into action and deliver measurable business outcomes.About the RoleWe are searching for an ambitious go getter who welcomes the challenge of meeting the needs of a hyper growth startup. As a Data Engineer, you will contribute to the company's data infrastructure, playing a key role in developing and maintaining the systems that power its AI platform. Your work will directly influence product features, client outcomes, and strategic business decisions.You will collaborate with Forward Deployed Engineers, Data Scientists, Backend Engineers, Client IT, and business stakeholders to build and support scalable pipelines that serve billions of rows of structured and unstructured data weekly, enabling high impact insights across multiple industries.ResponsibilitiesTechnical DevelopmentImplement and support scalable, high performance data infrastructure to handle complex data processing and integration across platformsExtract and ingest data from a wide variety of structured and unstructured web sourcesDevelop developer facing tools, abstractions, and frameworks that empower engineering teams to easily build and manage data pipelinesLeverage modern cloud platforms (e.g., Snowflake, Databricks) to execute ETL jobs, share data securely, and enforce granular access controlsWork with AI driven autonomous agents to streamline data operations and enable advanced data exploration on client datasetsEngineer and manage resilient ETL/ELT pipelines using tools like Airflow, Snowpark, Databricks, Cloud Run, and Apache BeamDefine, deploy, and maintain data infrastructure using Infrastructure as Code (IaC) principlesCollaborationPartner with Forward Deployed Engineers and Data Scientists to translate business and machine learning requirements into production ready data workflowsEnsure consistent, timely delivery of clean, high quality data to drive model development and core product featuresMonitoring and ReliabilityCreate and manage real time monitoring systems for data ingestion and transformation pipelinesAutomate security scanning and compliance checks within automated pipeline workflowsProactively identify and resolve issues to maintain high levels of system reliability and data integrityMinimum Qualifications2 to 5 years of experience in Data Engineering or Data Infrastructure rolesBachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)Proven experience building reliable data pipelines supported by automated unit and integration testsDeep understanding of ETL/ELT architecture, data modeling best practices, and distributed systemsHands on experience with agentic systems, ideally for data extraction and validationBackground using distributed computing frameworks (e.g., Apache Beam, Spark)Demonstrated skill using AI driven tooling to automate workflows and accelerate software engineeringStrong debugging, analytical, and technical problem solving capabilitiesExcellent communication skills with a track record of effective cross functional collaborationPreferred QualificationsExperience delivering enterprise software solutions for Fortune 500 clients across Financial Services, Industrials, or Consumer ProductsPrior experience in high growth startup environmentsExperience working with data virtualization layers like Trino, Starburst, and PrestoInterest in market dynamics, current industry events, and emerging technology trendsExperience designing and creating custom Agent Skills and/or Model Context Protocol (MCP) integrationsProficiency in leveraging APIs and modern web scraping techniques for data ingestionFamiliarity with Infrastructure as Code tooling such as TerraformFamiliarity with graph databases (e.g., Neo4j) and graph query languagesTech StackLanguages: PythonFrameworks: Apache Beam, Spark, FastAPI, AirflowCloud: Google Cloud Platform (GCP), AWS, AzureData: Elasticsearch, Snowflake, Databricks, Neo4j, PostgreSQL, MongoDB, GCSInfrastructure and DevOps: Docker, Terraform, GitHub Actions, Cloud RunFrontend (collaboration context): Next.jsPerksCompetitive compensation and equity in a rapidly growing companyUnlimited vacation100% company paid health, dental, and vision insurance","datePosted":"2026-10-05T13:13:40.018Z","dateModified":"2026-10-05T13:13:40.018Z","hiringOrganization":{"@type":"Organization","name":"Primis Defunct","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8921ba96dc2e8ed2fbfe566e"},"url":"https://jobsearcher.com/jobs/8921ba96dc2e8ed2fbfe566e"}}