Job Description
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.
- 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.
Work Perks:
- Industry competitive salary
- Comprehensive Health & Life insurances
- Hybrid working
- Office lunch
- Exposure to working with distributed global teams
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 HR@acumatica.com.
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