JOBSEARCHER

Data Platform Developer

PLATFORM ENGINEER/SOFTWARE DEVELOPERData Infrastructure & Automation SystemsUnited States | Austin, TX Strongly PreferredMust be USC or GC holder to convert permLooking for 2-8 years of experience with the skills belowMust be Located near Austin, TX 78746 to work hybridLong-term Contract to hire positionStarting Pay between $50-$70/hrAbout the RoleOur client is hiring a Platform Engineer to design and operate internal systems that support data infrastructure, integrations, and automation across their operational stack. This role sits at the intersection of data engineering, platform architecture, and automation systems.You will build integrations across multiple SaaS platforms, design scalable data pipelines, and develop automation frameworks that reduce manual operational work. Success in this role means data moves consistently between tools, workflows become automated, and teams can rely on the underlying systems to support day-to-day operations.You will report to the Product Owner for platform systems and collaborate closely with analytics, strategy, and product teams. This is a U.S.-based role with a strong preference for engineers in Austin, TX. Remote candidates within the U.S. will be considered.What You'll DoDesign and maintain integrations across operational tools including Accelo, BigQuery, Looker Studio, Notion/Podio, and automation platformsBuild and maintain data pipelines that normalize operational, marketing, and reporting data into a centralized data warehouseArchitect automation workflows that eliminate repetitive production, reporting, and campaign management tasksDevelop internal platform utilities, APIs, and scripts that support reporting, analytics, and operational systemsEnsure platform reliability through monitoring, logging, and data integrity across the stackCollaborate with analytics, strategy, and product teams to translate operational needs into scalable platform capabilitiesContinuously identify opportunities to replace manual workflows with reusable infrastructure and automation systemsRequired Skills & Experience5+ years building production-grade data pipelines, integrations, or internal platformsStrong experience working with cloud data warehouses (BigQuery strongly preferred)Experience integrating SaaS platforms via APIs and automation frameworksProficiency in Python, JavaScript, or similar scripting languagesExperience building or supporting BI and reporting pipelines (Looker, Looker Studio, Tableau, or similar)Experience designing scalable data models and data pipelinesStrong systems-thinking mindset with the ability to architect durable infrastructureExperience working with automation tooling (Make, Zapier, n8n, or similar)Ideal ExperienceStrong applicants typically have several of the following — candidates do not need all of them:Experience building internal developer platforms or operational systemsExperience designing event-driven data pipelines or integration frameworksExperience integrating CRM, marketing, or operational SaaS systemsExperience designing analytics-ready data modelsExperience implementing observability, logging, and monitoring systemsExperience with modern automation platforms such as Make, n8n, or similar orchestration toolsAI-Native Tooling (Nice to Have)Our client is actively experimenting with AI-assisted infrastructure and automation. Experience in any of the following is a plus:Building or integrating AI agents into operational workflowsWorking with MCP (Model Context Protocol) serversDeveloping AI-assisted automation pipelinesExperience with agent orchestration frameworksUsing AI tools to accelerate development, data analysis, or workflow automationExperience with LLM-enabled tooling inside internal platformsWhat We Value in EngineersThink in systems, not scriptsPrefer durable infrastructure over quick patchesTranslate messy operational problems into clean technical solutionsTake ownership of the reliability and maintainability of the systems they buildCommunicate clearly with both technical and non-technical teammatesIf you're in Austin and Interested, Apply Today!