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Oracle Labs Jobs (NOW HIRING)

Tessera Labs

Senior Product Designer

Manhattan, NY · On-site

$120 - $180/hr

About Tessera Labs Tessera Labs is redefining how enterprises adopt and operationalize Artificial ... SAP, Oracle, and Salesforce. We move fast, operate with extreme ownership, and build at the ...

Tessera Labs

Senior Product Designer

New York, NY · On-site +1

$179K - $210K/yr

About Tessera Labs Tessera Labs is redefining how enterprises adopt and operationalize Artificial ... SAP, Oracle, and Salesforce. We move fast, operate with extreme ownership, and build at the ...

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How much do oracle labs jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for oracle labs in the United States is $61.15, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.15 per hour, depending on experience, location, and employer.

What is Oracle Labs?

Oracle Labs is a research and development organization within Oracle Corporation focused on advancing cutting-edge technologies and innovations. Their work spans areas such as machine learning, programming languages, cloud computing, and hardware-software co-design. Oracle Labs collaborates with academic institutions and industry partners to explore emerging technologies and bring new solutions to Oracle's products and services. The goal is to drive innovation that keeps Oracle at the forefront of the tech industry.

What are the key skills and qualifications needed to thrive as an Oracle Labs engineer?

To thrive as an Oracle Labs engineer, you need a strong background in computer science, software engineering, and advanced research, typically supported by a relevant degree such as a BS, MS, or PhD. Familiarity with programming languages like Java, C/C++, and experience with distributed systems, compilers, or machine learning frameworks is essential, alongside knowledge of Oracle’s proprietary tools. Strong problem-solving skills, creativity, and effective communication are vital soft skills for collaborating in research-driven, innovative environments. These abilities are crucial for driving technological advancements and successfully contributing to cutting-edge projects within Oracle Labs.

What are the main challenges faced by professionals working at Oracle Labs, and how can new team members overcome them?

Professionals at Oracle Labs often work on cutting-edge research and experimental technologies, which can present challenges such as rapidly changing project scopes and the need to quickly adapt to new tools or methodologies. New team members may also find collaborating across multidisciplinary teams and communicating complex ideas to be demanding. To overcome these challenges, it's helpful to proactively seek mentorship, participate in regular knowledge-sharing sessions, and remain open to continuous learning. Embracing a collaborative mindset and staying curious about evolving technologies can help new hires thrive in this dynamic environment.
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Oracle Labs jobs near you
Infographic showing various Oracle Labs job openings in the United States as of August 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 83% Full Time, 12% Part Time, and 2% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $127,184 per year, or $61.1 per hour.

Senior Data Engineer - ERP Data Harmonization & Enterprise Data Platform

Tessera Labs

San Jose, CA • On-site

$134K - $161K/yr

Full-time

Re-posted 14 hours ago

Job description

Job Summary:
Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. They are seeking a Senior Data Engineer to design and build scalable data solutions that harmonize enterprise data across multiple ERP ecosystems, focusing on integrating and standardizing data from various enterprise systems into unified data models.
Responsibilities:
• Build ERP Data Integration Pipelines
• Design and develop scalable ETL/ELT pipelines to ingest and transform data from enterprise systems including:
• Sage ERP (e.g., Sage X3, Sage Intacct, Sage 300)
• Baan / Infor LN
• Oracle ERP / Oracle Fusion
• SaaS ERP platforms such as NetSuite
• Legacy ERP and adjacent enterprise systems
• Implement transformation pipelines using SQL and Python.
• Implement Data Harmonization Logic
• Design and maintain data harmonization frameworks that standardize enterprise datasets across systems.
• Define and implement cross-system mapping rules for enterprise data domains including:
• Customers / Business Partners
• Vendors / Suppliers
• Materials / Products
• Chart of Accounts
• Cost Centers and organizational structures
• Financial and operational transactions
• Design Enterprise Data Models
• Develop canonical enterprise data models that normalize ERP data across heterogeneous systems.
• Implement logical and physical models supporting:
• Relational data platforms
• Dimensional analytics models
• Enterprise semantic layers
• Translate Functional Requirements into Data Logic
• Work closely with ERP functional teams and Functional Data Experts (FDEs) to translate business rules into technical implementations.
• Convert functional requirements into:
• SQL transformation logic
• Python-based processing pipelines
• Validation and reconciliation frameworks
• Improve Data Quality and Governance
• Implement data validation, reconciliation, and monitoring frameworks.
• Identify and resolve enterprise data issues such as:
• Duplicate master data
• Inconsistent definitions across ERP systems
• Incomplete or legacy datasets
• Configuration-driven inconsistencies
Qualifications:
Required:
• 5–8+ years of experience in Data Engineering, Data Integration, or Data Platform development
• Experience working with enterprise ERP systems, such as Sage ERP platforms, Baan / Infor LN, Oracle ERP / Oracle Fusion, NetSuite or other SaaS ERPs
• Experience supporting ERP transformation, migration, or multi-system integration initiatives
• Advanced SQL
• Strong Python for data engineering workflows and pipeline development
• Experience building ETL/ELT pipelines
• Experience processing large-scale enterprise datasets
• Familiarity with modern data architectures and distributed processing
• Strong understanding of relational data models, dimensional models, and canonical enterprise data models
• Understanding of ERP business domains including Finance, Supply Chain, and Enterprise Master Data
• Ability to understand complex enterprise systems and business processes, and design data solutions that work across multiple platforms
• Capability to work with functional teams and convert business rules into scalable data transformation logic
• Strong analytical skills to diagnose and resolve enterprise data challenges
• Comfortable working with cross-functional teams including engineers, ERP functional consultants, and business stakeholders
• Ability to take ownership of complex data problems and deliver production-grade solutions that scale across enterprise environments
Company:
Tessera Labs is an AI platform that delivers governed execution across ERP, CRM, HCM, and finance landscapes. Founded in 2024, the company is headquartered in San Jose, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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