Tessera Labs ยท 3 weeks ago
Data Engineer (Enterprise AI & ERP Modernization)
New York, NY
Full-time
Hybrid
Mid, Senior Level
$180K/yr - $250K/yrTessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. As a Data Engineer, you will work closely with Forward Deployment Engineers to enable rapid ERP modernization and AI-driven transformation for enterprise clients, focusing on data harmonization and pipeline development.
Computer Software
Responsibilities
Data Harmonization: Integrate, reconcile, and standardize structured data across ERP, CRM, finance, and analytics systems
Cross-System Pipeline Architecture: Design and implement ETL/ELT pipelines that unify data across enterprise systems for AI-driven use cases
Data Transformation & Validation: Build logic to clean, transform, validate, and prepare structured/tabular datasets for operational and analytical workflows
Schema Interpretation: Analyze complex enterprise schemas, including poorly documented or evolving structures, and document entity relationships across systems
Pipeline Reliability: Monitor, troubleshoot, and optimize data pipelines to ensure consistent, high-quality delivery at scale
AI Enablement: Prepare structured datasets for multi-agent AI platforms, orchestration engines, and decisioning systems, applying lightweight upstream MLOps practices where appropriate
Cross-Functional Collaboration: Work directly with FDEs, architects, and client teams to solve complex enterprise modernization challenges
Problem Solving Under Ambiguity: Decompose unclear requirements and rapidly evolving constraints into clear, actionable technical solutions
Qualification
Required
Strong SQL skills, including complex joins and queries across multi-schema relational environments
Proficiency in Python or a comparable language for data processing, automation, and pipeline logic
Solid foundations in relational data modeling, schema mapping, and normalized/denormalized design
Experience working with enterprise systems such as SAP S/4HANA, Salesforce, finance systems, or cloud data warehouses
Hands-on experience building and maintaining ETL pipelines for structured/tabular data
Familiarity with distributed data processing (e.g., PySpark) and upstream MLOps concepts applied to structured datasets is a plus
Ability to operate effectively in fast-moving, ambiguous environments
Demonstrated ability to navigate messy, fragmented enterprise data landscapes with inconsistent schemas and cross-system duplication
Preferred
Experience supporting analytics, ML pipelines, or AI workflows is preferred but not required
Company
Tessera Labs
Enterprise transformations shouldn't take years or cost fortunes.
Founded in 2024
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase