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Workato Developer Jobs in New York (NOW HIRING)

Collibra

GRC Specialist

New York, NY · On-site

... Workato recipes, and autonomous control monitoring processes in order to eliminate repeatable manual GRC overhead and streamline evidence validation. * Engineering continuous control monitoring ...

Ramp

GTM Systems Engineer, Salesforce

New York, NY · On-site

$122K - $183K/yr

The engineer will work with various stakeholders and cross-functional teams to deliver solutions to ... Design, develop, and maintain solutions on Ipaas (Homegrown, Workato, Clay, etc) * Drive decisions ...

Kizen

Senior Solutions Engineer

New York, NY · On-site

$60.50 - $78/hr

Working with APIs, automation tools (like Zapier/Workato), and data pipelines to build seamless ... Excellent communicator - you're equally confident speaking to a developer or a CEO * A knack for ...

Decagon

IT Engineer

New York, NY · On-site

$96K - $132K/yr

Automate recurring IT and access-management work using Python, Bash, and tools like Workato or ... engineering, ideally at a fast-growing company * Hands-on administration experience with Okta

Workiva Inc.

Director, GTM Technical Delivery

Manhattan, NY · On-site

$177 - $284/hr

You will lead developers, admins, QA, and DevOps professionals responsible for the systems that ... Experience with middleware platforms (e.g., Workato, Mulesoft)* Familiarity with AI/ML use cases in ...

Lattice

Senior Manager, IT

New York, NY · On-site

$143K - $143K/yr

... Engineering, Business Systems, and business leaders * Practical automation experience using APIs, scripting, Okta Workflows, Workato, or similar tools to reduce manual operational work * Sound ...

Allied Maker

Systems Engineer

Glen Cove, NY · On-site

$100K - $130K/yr

The Systems Engineer is the connective tissue between Allied Maker's teams and the tools they rely ... Experience with iPaaS tools (Celigo, Workato, Boomi, Zapier) * Background in manufacturing or make ...

Allied Maker

Systems Engineer

Glen Cove, NY

$100K - $130K/yr

The Systems Engineer is the connective tissue between Allied Maker's teams and the tools they rely ... Experience with iPaaS tools (Celigo, Workato, Boomi, Zapier) * Background in manufacturing or make ...

CoreWeave

Product Manager, Finance

Livingston, NJ · On-site

... Workato, and enterprise data platforms. You will: * Define and own the multi-quarter product ... Partner with Engineering, Integrations, Data, and Security teams to deliver scalable end-to-end ...

CoreWeave

Product Manager, Finance

New York, NY

... Workato, and enterprise data platforms. You will: * Define and own the multi-quarter product ... Partner with Engineering, Integrations, Data, and Security teams to deliver scalable end-to-end ...

Allied Maker

Systems Engineer

Glen Cove, NY · On-site

$100K - $130K/yr

The Systems Engineer is the connective tissue between Allied Maker's teams and the tools they rely ... Experience with iPaaS tools (Celigo, Workato, Boomi, Zapier) * Background in manufacturing or make ...

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How much do workato developer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for workato developer in New York is $57.81, according to ZipRecruiter salary data. Most workers in this role earn between $44.18 and $70.72 per hour, depending on experience, location, and employer.

Does a Workato developer allow remote work?

Workato developers often have the option to work remotely, as the role primarily involves configuring integrations and automations using cloud-based tools. Many companies support remote work for this position, especially if the developer has strong communication skills and proficiency with collaboration tools. However, specific remote work policies can vary depending on the employer and project requirements.

What is a Workato developer?

A Workato Developer is responsible for designing, developing, and managing automation workflows using the Workato integration platform. They work with APIs, business applications, and cloud services to streamline processes and improve operational efficiency. Their role involves creating recipes (automated workflows), troubleshooting integration issues, and optimizing system performance. Workato Developers collaborate with business teams to understand requirements and implement scalable automation solutions.

What are the key skills and qualifications needed to thrive as a Workato developer?

To thrive as a Workato Developer, strong experience with automation, integration design, API management, and a background in software development are generally required. Proficiency in Workato’s integration platform, familiarity with REST/SOAP APIs, and relevant certifications (such as Workato Automation Pro) are highly valued. Excellent problem-solving, collaboration, and communication skills help Workato Developers work effectively with cross-functional teams and stakeholders. These skills are crucial for building seamless, scalable workflows that meet diverse business needs and drive process efficiency.

What are the typical day-to-day responsibilities of a Workato developer?

As a Workato Developer, your daily responsibilities often include designing, building, and maintaining automated workflows between various business applications using the Workato platform. You’ll collaborate closely with business analysts, IT teams, and end-users to gather requirements, troubleshoot integration issues, and optimize existing automations. Testing and documenting recipes, monitoring system performance, and ensuring data accuracy are also key parts of the role. This position offers opportunities to contribute to process improvement and play a critical role in digital transformation initiatives within your organization.

What are the most commonly searched types of Workato Developer jobs in New York? The most popular types of Workato Developer jobs in New York are:
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Workato Developer jobs near you
Infographic showing various Workato Developer job openings in New York as of July 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 64% In-person, and 36% Remote job distribution, with an average salary of $120,240 per year, or $57.8 per hour.

Principal, Data Analytics and Engineering

Bluemercury

Long Island City, NY • On-site

$163K - $272K/yr

Full-time

Re-posted 10 days ago

Bluemercury rating

7.4

Company rating: 7.4 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

Job description


About Bluemercury:
With 178 locations across the country and growing, Bluemercury pioneered a client-first service model that emphasizes hyper-personalized, high-quality beauty interactions. The leading luxury beauty destination and Macy's, Inc. nameplate offers a highly curated and premium product assortment across a range of categories, Bluemercury helps people discover their unique self by shining a light on what makes them wonderfully distinctive. As Bluemercury continues to evolve, it remains committed to its original intent to serve people and embrace its purpose to be the ultimate specialist in the beauty of every individual. For more information, please visit www.bluemercury.com.
Job Overview:
The Principal Engineer, Data & Analytics Engineering, is Bluemercury's senior hands-on technical leader responsible for architecting, building, and scaling our enterprise data ecosystem. This role blends deep engineering expertise with technical leadership - driving architecture decisions while remaining actively involved in coding, designing, troubleshooting, and optimizing mission-critical pipelines and platforms. You will partner closely with product, engineering, and business stakeholders to ensure our data foundations are robust, secure, and built for long-term growth.
Key Responsibilities:
  • Hands-On Data Platform Engineering & Architecture
    • Design, build, and directly contribute code to scalable data platforms on Google Cloud Platform (GCP).
    • Lead hands-on engineering of Snowflake: schema design, performance tuning, resource optimization, and governance.
    • Implement CI/CD pipelines, monitoring, logging, testing frameworks, and data quality automation.
    • Serve as the primary technical expert for data reliability, platform performance, and architectural decision-making.
  • Semantic Layer & Enterprise Reporting Enablement
    • Architect and implement the AtScale semantic layer solutions, including aggregates, metrics, and performance optimizations.
    • Provide hands-on technical support for Tableau data sources, extracts, and performance tuning.
    • Establish patterns that ensure accurate, consistent, and trusted enterprise reporting.
  • Integration Engineering & Data Pipelines
    • Develop and optimize complex data flows using Workato, GCP services, and custom code.
    • Build scalable ingestion frameworks for batch and streaming data.
    • Troubleshoot and resolve pipeline issues at the system, code, and infrastructure levels.
  • Customer Data Platform Engineering
    • Provide hands-on ownership of the Amperity CDP, including identity resolution logic, profile stitching, segmentation workflows, and system integrations.
    • Integrate and engineer data enrichment workflows with Bridg and other append platforms.
    • Ensure data structures and pipelines enable advanced personalization and CRM activation.
  • Enablement of Data Science & Advanced Analytics
    • Engineer production-ready data products, feature sets, and ML-ready datasets.
    • Build and operationalize model scoring pipelines in partnership with data science teams.
    • Maintain documentation, lineage, and metadata standards for transparent analytics operations.
  • Technical Leadership & Influence
    • Set engineering standards through direct contribution and technical excellence.
    • Conduct design reviews, propose architecture patterns, and drive platform evolution.
    • Mentor engineers across data engineering, analytics engineering, and integrations-acting as the senior technical resource.
    • Influence roadmaps and cross-functional decisions using hands-on insights and deep platform understanding.

Qualifications:
Required
  • 10+ years in data and analytics engineering or multi-tier analytics platform architecture, with significant hands-on engineering experience.
  • Expert with:
    • GCP (GCS, Compute, storage optimization)
    • Snowflake performance engineering
    • AtScale semantic modeling
    • Workato, Airflow, or similar orchestration tools
    • Amperity or similar CDPs
    • Advanced SQL, Python, and data modeling skills (dimensional, 3NF, Data Vault).
    • Deep experience engineering large-scale retail or consumer datasets.

Preferred
  • Experience designing ML feature stores and production-grade data science pipelines.
  • Proven ability to lead architecture through hands-on contributions.
  • Retail industry experience.
  • Experience of integrating data platform with ERP and POS solutions in mid to large organizations.
  • Excellent leadership, communication, and stakeholder management skills.
  • Strong analytical, troubleshooting, and solution architecture skills.
  • Excellent communication and stakeholder engagement abilities.

What Success Looks Like
  • You model engineering excellence and deliver high-quality, efficient, hands-on solutions.
  • The enterprise data platform is stable, scalable, cost-efficient, and trusted.
  • Pipelines, workflows, and semantic layers are fully automated, monitored, and documented.
  • Customer data is accurate, unified, and actionable across the business.
  • Engineering teams adopt your standards and accelerate their delivery effectiveness.

Education
  • Bachelor's degree in Computer Science, Information Systems, Computer Science, Engineering, or a related field, or demonstrated equivalent experience in a technical role. (required).
  • Master's degree and relevant professional certifications preferred.

This job description is not all inclusive. Bluemercury, Inc. reserves the right to amend this job description at any time. Bluemercury, Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.
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