Acumatica is a company on a mission. We are a leading innovator in cloud ERP with customers located around the world.  But don’t take our word for it—read what analysts like G2 and Info-Tech have to say about us.

Acumatica is a leading provider of cloud business management software that empowers small and mid-size businesses to unlock their potential and drive growth. Built on the world’s best cloud and mobile technology and a unique customer-centric licensing model, Acumatica delivers a suite of fully integrated business management applications, such as Financials, Construction, Distribution, and CRM, on a robust and flexible platform. In an interconnected world, Acumatica enables customers to take full control of their businesses, play to their organizations’ unique strengths, and support their clients by following them anywhere on any device.

Acumatica’s culture is casual and high-energy. We are passionate about our product and our mission, and we are loyal to each other and our company. We value work/life balance, efficiency, simplicity, freakishly friendly customer service, and making a difference in the world. Acumatica offers exceptional professional and financial growth potential.

To learn more about Acumatica’s mission, please visit: http://www.acumatica.com

As a Senior Data Engineer at Acumatica, you will have the opportunity to work on designing, implementing and operating a state-of-the-art data platform, lakehouse infrastructure and associated processes You will be able to design, implement, and optimize scalable data pipelines and architectures for Acumatica’s Data Lake House. 

The ideal candidate will have a strong background in data engineering, cloud technologies, and experience working in SaaS environments. They will collaborate closely with cross-functional teams to ensure efficient data flow, robust data pipelines, and enable real time analytics, predictive analytics and machine learning & gen AI solutions. 

Responsibilities: 

• Design, develop & optimize a unified data lakehouse framework combining storage & analytical processing. 
• Build & maintain real-time ETL pipelines using model tools (Apache Spark, DBT). 
• Integrate data from multiple internal and external data systems into lakehouse environment. 
• Deploy lakehouse architectures leveraging Iceberg Repositories and other cloud storage platforms. 
• Implement monitoring tools to ensure data quality & reliability. 

• 5+ years in data engineering with expertise in data lakehouse or modern data architecture.
• Hands-on experience with tools like Iceberg or Delta Lake.
• Bachelor’s or master’s degree in computer science, Data Engineering, or a related field. 
• Strong skills in SQL, Python, Java, and distributed computing frameworks. 
• Proficiency with orchestration tools (e.g. Airflow) and CI/CD pipelines. 
• Excellent communication & collaboration abilities with remote team members.
• Strong problem-solving skills and ability to manage complex projects.

Work Perks: 

• Industry competitive salary
• Comprehensive Health & Life insurances  
• Hybrid working
• Office lunch
• Exposure to working with distributed global teams
• Paid paternity leave

Acumatica is an Affirmative Action and Equal Opportunity Employer/Veterans/Disabled. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please e-mail [email protected].