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# Senior Data Engineer - Data And AI

- **Company:** First Tech Federal Credit Union
- **Location:** Marlborough, MA, United States
- **Experience:** Expert
- **Salary:** $116,500 - $140,000
- **Contract:** Permanent contract
- **Skills:** Training Data, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Cloud Engineering, Information Engineering, Extract Transform Load (ETL), Data Security, DevOps, Graph Database, Python (Programming Language), Metadata, Meta-Data Management, Neo4j, Data Mesh, SQL Databases, Data Streaming, Feature Store, Real Time Systems, Snowflake, Multi-Agent Systems, Apache Spark, Generative AI, Agentic-AI, Data Layers, Event Driven Architecture, Core Data, Apache Flink, Real Time Data, Apache Kafka, Machine Learning Operations, Entity Resolution, Terraform, Stream Processing, Databricks
- **Published:** November 7, 2026
- **Apply:** https://diversityjobs.com/career/18848290/Senior-Data-Engineer-Data-Ai-California-San-Jose

## About the Role

5+ years in data engineering with cloud-native architectures

 - 4+ years of SQL experience
 - Experience with data modeling, warehousing and building ETL pipelines
 - Strong AWS/Databricks/Snowflake expertise

 - Proven experience with real-time streaming (Kafka, Kinesis, Flink, Spark)
 - Hands-on AI/ML infrastructure experience (SageMaker, Bedrock)
 - Proficiency in Python , SQL, and infrastructure-as-code

Preferred Qualifications

 - Knowledge graphs (Neptune, Neo4j) and semantic layers
 - GenAI applications and LLM integration patterns
 - Vector databases and feature stores
 - Data mesh and domain-oriented architecture

## Description

The Sr Data Engineer -Data and AI extends the core data engineering responsibilities by building cloud-native, reusable data products and AI-ready data capabilities. The role applies modern engineering practices for real-time processing, automation, observability, metadata, and governed data consumption to support analytics, data science, and AI-enabled solutions.

Role Specific Essential Functions:

AI-Native Infrastructure & Real-Time Processing

 - Engineer AI-native infrastructure supporting real-time data processing

 - Build semantic layers and knowledge graphs enabling intelligent query routing and context-aware data access
 - Develop infrastructure for agentic AI systems with multi-agent orchestration
 - Implement GenAI-powered data quality, entity resolution, and metadata management Data-as-a-Product Delivery
 - Own end-to-end accountability for data products from ingestion to consumption
 - Deliver data products with clear SLAs, quality metrics, and customer satisfaction measures
 - Build self-service platforms with embedded governance, lineage, and discovery
 - Establish data contracts and APIs for reliable, versioned data consumption.

 - Build high-quality pipelines supporting analysts, data scientists, and AI agents
 - Implement CDC and event-driven architectures for real-time data availability
 - Deploy infrastructure-as-code using CDK/Terraform