Integration Engineer

Emerald Expositions • San Juan Capistrano, CA

56d • $110,000 - $130,000

About The Position

We are seeking a highly motivated and technically proficient Integration Engineer to join our team. This role focuses on building and maintaining robust, scalable integrations between internal systems, third-party APIs, and Databricks. Youll own production-grade API ingestion pipelines, monitor integration health, and evolve integration architecture for reliability, resilience, and scalability.Key Responsibilities:Design, build, and maintain API-based data ingestion pipelines using Databricks and cloud-native services, ensuring secure, scalable, and observable integrations across internal systems and third-party platforms.Ensure data integrity, security, and observability throughout the lifecycle of API integrations, including monitoring and alerting for failures.Follow SDLC best practices including version control, CI/CD, and code reviews.Use AWS (or similar platforms like Azure or GCP) for compute, storage, and orchestration services.Collaborate with Data Analysts and Engineering teams to understand data source schema changes and proactively update integrations.Required Skills and Qualifications:5+ years of experience in backend engineering, software development, or a related role.Strong hands-on experience with:DatabricksSQL for integration validation and troubleshootingPython (or similar) programming for REST API integrations, data ingestion, and transformation workflowsExperience developing and maintaining production-ready API clients and endpointsDeep understanding of API consumption patterns (REST, webhook, GraphQL) and best practices for reliability, error handling, and observabilityFamiliarity with tools like Postman and Swagger for testing and documentationProficiency in working with AWS Cloud or similar platforms (S3, Lambda, AppFlow, etc.)Strong problem-solving skills and ability to work in fast-paced environmentsExcellent communication and collaboration skillsPreferred Qualifications:Strong understanding of data pipelines, ETL/ELT, and data architecture principlesFamiliarity with data governance, data cataloging, and access control mechanismsExperience with GitHub, Jira, and Confluence for code management and team collaborationExpertise in Scrum methodology and Agile team environmentsFamiliarity with data orchestration and transformation tools such as dbt or AirflowExperience with event-driven architectures and real-time data (e.g. Kafka)Certifications in Databricks, AWS, or other cloud platforms (a plus)ABOUT EMERALDEmeralds talented and experienced teams grow our customers businesses 365 days a year with products that create connections, deliver content, and drive commerce. We produce over 140 annual events, create and deliver content through print and digital channels, and power commerce through our seamlessly integrated in-person and digital platforms and channels. For more information, please visit http://www.emeraldx.com.At Emerald, we strive to foster a diverse and inclusive community. We actively recruit and champion candidates who bring new perspectives from varied professional backgrounds and experiences, and we are intentional about ensuring a positive hiring experience for everyone. Our job postings dont contain experience inflation, and most dont require college degrees. Instead, theyre crafted to focus on outcomes and transferable experiences that are assessed in a structured interview process carried out by trained hiring teams. COMPENSATION & BENEFITSTarget Compensation: $110,000-130,000Please note that this range reflects a reasonable estimate of the target compensation for this position. This range may ultimately vary based on a candidates qualifications and may be higher where required by applicable law. We offer a competitive benefits package designed to strengthen our employees physical and mental health, including unlimited vacation for exempt employees, flexible working locations, 401(k) plan with a company match, medical/dental/vision coverage with inclusive provisions including transgender services and fertility benefits, parental and caregiver leave, dependent, commuter and FSA benefits, professional development programs like Toastmasters, and mental wellness tools such as weekly guided meditation programs.If you need accommodation in our application process or have questions about our posted salary range, please email our Talent Acquisition team at Careers@EmeraldX. com.

Requirements

• 5+ years of experience in backend engineering, software development, or a related role.
• Strong hands-on experience with:Databricks
• SQL for integration validation and troubleshooting
• Python (or similar) programming for REST API integrations, data ingestion, and transformation workflows
• Experience developing and maintaining production-ready API clients and endpoints
• Deep understanding of API consumption patterns (REST, webhook, GraphQL) and best practices for reliability, error handling, and observability
• Familiarity with tools like Postman and Swagger for testing and documentation
• Proficiency in working with AWS Cloud or similar platforms (S3, Lambda, AppFlow, etc.)
• Strong problem-solving skills and ability to work in fast-paced environments
• Excellent communication and collaboration skills

Nice To Haves

• Strong understanding of data pipelines, ETL/ELT, and data architecture principles
• Familiarity with data governance, data cataloging, and access control mechanisms
• Experience with GitHub, Jira, and Confluence for code management and team collaboration
• Expertise in Scrum methodology and Agile team environments
• Familiarity with data orchestration and transformation tools such as dbt or Airflow
• Experience with event-driven architectures and real-time data (e.g. Kafka)
• Certifications in Databricks, AWS, or other cloud platforms (a plus)

Responsibilities

• Design, build, and maintain API-based data ingestion pipelines using Databricks and cloud-native services, ensuring secure, scalable, and observable integrations across internal systems and third-party platforms.
• Ensure data integrity, security, and observability throughout the lifecycle of API integrations, including monitoring and alerting for failures.
• Follow SDLC best practices including version control, CI/CD, and code reviews.
• Use AWS (or similar platforms like Azure or GCP) for compute, storage, and orchestration services.
• Collaborate with Data Analysts and Engineering teams to understand data source schema changes and proactively update integrations.

Benefits

• unlimited vacation for exempt employees
• flexible working locations
• 401(k) plan with a company match
• medical/dental/vision coverage with inclusive provisions including transgender services and fertility benefits
• parental and caregiver leave
• dependent, commuter and FSA benefits
• professional development programs like Toastmasters
• mental wellness tools such as weekly guided meditation programs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed