Tundra Technical Solutions

Workato Engineer

โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Workato Engineer on a 6-month remote contract in the U.S. requiring 5+ years of Workato integration experience, 2+ years in software development (Go, Java, Python), and familiarity with HR applications and AI technologies.
๐ŸŒŽ - Country
United States
๐Ÿ’ฑ - Currency
$ USD
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๐Ÿ’ฐ - Day rate
576
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๐Ÿ—“๏ธ - Date
June 26, 2026
๐Ÿ•’ - Duration
More than 6 months
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๐Ÿ๏ธ - Location
Remote
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๐Ÿ“„ - Contract
Unknown
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๐Ÿ”’ - Security
Unknown
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๐Ÿ“ - Location detailed
United States
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๐Ÿง  - Skills detailed
#Monitoring #"ETL (Extract #Transform #Load)" #Data Pipeline #REST (Representational State Transfer) #Compliance #Cloud #Data Enrichment #Deployment #Data Integration #Documentation #Python #AWS (Amazon Web Services) #Automation #Databases #JSON (JavaScript Object Notation) #XML (eXtensible Markup Language) #Scala #Security #AI (Artificial Intelligence) #Java #Airflow #Apache Airflow #Workday
Role description
Workato Engineer 6 months contract Remote (must be in United states) What youโ€™ll be doing (ie. job duties): To be completed by all business teams except Eng. โ— Design, build, and maintain integrations across HR enterprise applications (Workday, Docebo, Greenhouse, Anaplan, and others) using Workato, custom connectors, and reusable automation frameworksโ€”following platform governance and best practices. โ— Partner with HR business teams, Product Managers, and Engineering to gather requirements, scope enhancements, and deliver scalable integration solutions that meet business needs. โ— Integrate Workato workflows with AI/LLM services (such as OpenAI, Anthropic, or enterprise LLMs) to automate intelligent decision-making, content generation, or data enrichmentโ€”evaluating new capabilities and designing reusable, secure frameworks for adoption. โ— Build, optimize, and support ETL/ELT processes through Workato pipelines and related data integration tools to enable accurate business analytics. โ— Drive monitoring, health checks, and production support (including on-call rotation), proactively identifying issues, leading root-cause analysis, and implementing durable fixes to maintain integration reliability. โ— Identify and implement improvements to address architectural gaps, reduce technical debt, and enhance performance across the integration ecosystem. โ— Manage Workato deployments, versioning, and release execution, and participate in recipe reviews and architectural assessments to maintain quality and consistency. โ— Build and maintain documentation, runbooks, and technical designs to enable team knowledge sharing, and provide platform guidance and mentorship to team members and stakeholders. โ— Adhere to EAA integration standards, governance frameworks, and Workato team guidelines for recipe development, security, and deployment. What we look for in you (ie. job requirements): To be completed by all business teams except Eng. โ— 5+ years of hands-on experience designing, building, and supporting integrations across enterprise systems using Workato - including recipe development, custom connectors, job frameworks, error handling patterns, and platform governance. โ— 2+ years of software development experience with proficiency in one or more languages such as Go, Java, or Python, with a solid understanding of APIs, webhooks, REST principles, and payload formats (JSON, XML). โ— Proven experience building integration solutions with cloud-based HR/enterprise applications such as Workday, Docebo, Greenhouse, NetSuite, Anaplan or similar platformsโ€”with the ability to define scalable patterns and reusable components. โ— Familiarity with ETL/ELT concepts and experience supporting or building data pipelines to enable accurate business analytics. โ— Exposure to AI/LLM technologies with the ability to integrate AI services into automation workflows, including an understanding of responsible AI usage, security, compliance, and data-handling considerations. โ— Strong analytical and problem-solving skills, with the ability to troubleshoot complex integration issues end-to-end, manage multiple priorities, and thrive independently in a fast-paced environment. โ— Excellent communication and collaboration skills, with the ability to partner effectively across technical and non-technical stakeholders. โ— Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Nice to haves: โ— Experience with AWS services and cloud infrastructure. โ— Familiarity with ETL tools like Apache Airflow for synchronizing large data volumes between systems and connecting APIs and databases. โ— Experience with n8n or other AI-based code generation and automation tools.