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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial Intelligence - **Company:** Webflow, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $172,640.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Data Analysis, Cloud Database, Cloud Engineering, Computer Programming, Continuous Integration, Information Engineering, Data Governance, Data Retention, Data Systems, Distributed Computing Environment, Domain Name System (DNS), Github, Operational Databases, Public Key Infrastructure, Standard Sql, Salesforce.Com, Data Streaming, Tableau (Software), Delivery Pipeline, Apache Spark, Generative AI, Apache Kafka, Spark Streaming, CIS Benchmarks, Webflow, Data Pipelines - **Published:** August 29, 2026 - **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/staff-data-engineer/10921299 ## About the Role * BA/BS degree or equivalent experience * 5+ years of experience in data engineering, building and operating production data pipelines and platforms. * Strong experience with Spark and distributed data processing, including designing and optimizing production data pipelines. * Experience designing batch, real-time, and streaming data solutions using technologies such as Kafka, Spark Structured Streaming, and CDC. * Experience implementing data quality, observability, and reliability across production data systems. * Experience with cloud data infrastructure, CI/CD, and infrastructure-as-code. * Demonstrated experience leading complex data engineering initiatives end-to-end, from technical design and decomposition through implementation and production. * Strong Programming and SQL skills, with experience building reliable and maintainable data systems. You'll thrive as a Staff Data Engineer if you: * Can navigate ambiguous problems, evaluate architectural tradeoffs, and make pragmatic technical decisions. * Think beyond individual pipelines and consider the end-to-end data ecosystem, from data producers through downstream consumers. * Bring experience with data governance and privacy, including PII management, retention, deletion, data residency, GDPR, or CCPA. * Bring experience with event instrumentation and governance, including event schemas, validation, and schema evolution. * Collaborate with engineers on complex technical problems and help establish practical engineering best practices. * Embrace AI and emerging technologies, applying them in your development workflow and helping the team adopt new tools through shared learnings and best practices. * Stay curious and open to growth demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. ## Description + Application deadline: applications accepted on an ongoing basis until position is closed and filled + This posting is for an existing vacancy * Reporting to the Manager, Data Engineering As a Staff Data Engineer, you'll… * Design data solutions across batch, streaming, and real-time workloads. * Design and build reliable data pipelines using Spark, Kafka, Iceberg, and Airflow/MWAA. * Contribute to the evolution of data lake and data platform, including ingestion, processing, storage, and serving patterns. * Build, maintain and scale cloud data infrastructure that includes Kafka, Airflow, Druid, EMR on EKS with reliability and observability in mind. * Implement and improve data quality, observability, reliability, and governance across data pipelines and systems. * Define and improve standards for event instrumentation and governance, including event schemas, validation, and schema evolution. * Build platform solutions for centralized PII handling, data retention, deletion, and residency to support GDPR and CCPA requirements. * Build agent harness capabilities that encode data engineering standards, pipeline patterns, and quality gates into AI tools, enabling agents to safely generate, review, and operate on data platform code. * Contribute hands-on to complex technical initiatives, troubleshoot production issues, mentor engineers, and collaborate with Analytics Engineering and other teams. * Build agent harnesses that embed data engineering standards, pipeline patterns, and quality gates into AI-assisted development workflows., Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog, LinkedIn, X (Twitter), and/or Glassdoor. Please note: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes., Build and operate reliable, scalable cloud infrastructure supporting Webflow products. Lead initiatives that improve reliability, reduce incident and triage load, and optimize cost and performance across multi-region environments. Develop infrastructure automation, modernize services, improve on-call and incident response, collaborate with product engineering teams, participate in design reviews, and mentor junior engineers. The role requires expertise in cloud platforms, containers, infrastructure as code, Cloudflare tooling, distributed systems, and software development. Top Skills: AksAWSCloudflare WorkersDockerEcsEksGCPGkeGoKubernetesMesosNode.jsOpenshiftPulumiTerraformTypescript Webflow Paid Social Specialist (Contract Basis) 4 Days Ago Easy Apply Remote U.S. Easy Apply 83-83 Hourly Mid level 83-83 Hourly Mid level Artificial Intelligence * Enterprise Web * Software * Design * Generative AI Execute and optimize full-funnel paid social campaigns across LinkedIn and Meta, including regional, brand, partner, and account-based programs. Build audiences, manage bids and budgets, run experiments, maintain campaign QA and UTM discipline, and report performance against CRM-sourced pipeline metrics using Salesforce and Tableau. The role requires independent execution, multi-region campaign management, and strong optimization judgment focused on pipeline outcomes. Top Skills: ClayHubspotLinkedin Campaign ManagerMarketoMetaSalesforceTableauUtm Tracking, Webflow, Designs and owns Webflow's foundational cloud and source-control infrastructure, including multi-account landing zones, networking, DNS, PKI, secrets, Infrastructure as Code, GitHub delivery pipelines, self-service hosting patterns, policy guardrails, observability, cost controls, and security baselines. Partners with SRE, security, and developer productivity teams to improve reliability, scalability, adoption, and performance while managing cloud vendors and tooling relationships. Top Skills: AnsibleAWSAzureDatadogDnsFinopsGCPGithub ActionsGrafanaPkiPrometheusPulumiTerraformVpc What you need to know about the Colorado Tech Scene With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation. Key Facts About Colorado Tech * Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey) * Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3 * Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech * Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook) * Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures * Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute ## Related Videos - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Coffee with Developers](https://www.wearedevelopers.com/videos/354-coffee-with-developers) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse](https://www.wearedevelopers.com/videos/100240-analytics-in-the-age-of-agentic-ai-a-tour-of-clickhouse-and-langfuse) - [Kill Your WordPress. 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