Senior Data Engineer - Data And AI

First Technology Federal Credit Union; San Jose (CA); Híbrido; USD 117.000 - 140.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, and vision coverage

401(k) match

PTO 15 days + sick time + personal day

Paid federal holidays

Employee pricing on lending products

Descripción de la vacante

First Technology Federal Credit Union is seeking a Senior Data Engineer in the Data and AI space to build cloud-native data products and AI-ready capabilities. The role emphasizes real-time processing, governance, and observability, delivering AI-enabled analytics for data science and business intelligence.

The candidate will craft real-time data pipelines, semantic layers, and knowledge graphs, while deploying IaC with CDK/Terraform and maintaining data contracts for dependable consumption.

Formación

• 5+ years of data engineering experience with cloud-native architectures.
• 4+ years of SQL experience.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Strong expertise with AWS, Databricks, and Snowflake.
• Proven experience with real-time streaming technologies, including Kafka, Kinesis, Flink, or Spark.
• Hands-on AI/ML infrastructure experience, including SageMaker and Bedrock.
• Proficiency in Python and infrastructure-as-code tooling.

Responsabilidades

• Engineer AI-native infrastructure that supports real-time data processing.
• Build semantic layers and knowledge graphs to enable 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.
• Maintain end-to-end accountability for data products, from ingestion through consumption.
• Deliver data products with defined SLAs, quality metrics, and customer satisfaction measures.
• Create self-service platforms that include governance, lineage, and discovery capabilities.
• Establish data contracts and APIs for dependable, versioned data consumption.
• Build high-quality pipelines that support analysts, data scientists, and AI agents.
• Implement CDC and event-driven architectures to ensure real-time data availability.
• Deploy infrastructure-as-code using CDK and Terraform.

Conocimientos

Cloud data engineering

SQL

Data modeling

ETL pipelines

AWS

Databricks

Snowflake

Real-time streaming

Kafka

Kinesis

Flink

Spark

SageMaker

Bedrock

Python

Infrastructure as code

CDK

Terraform

Data governance

Herramientas

Neptune

Neo4j

Vector databases

Descripción del empleo

The Senior Data Engineer, Data and AI role at First Technology Federal Credit Union focuses on building cloud-native, reusable data products and AI-ready capabilities. The position emphasizes real-time processing, automation, observability, metadata practices, and governed data consumption for analytics, data science, and AI-enabled solutions.

Role Responsibilities

• Engineer AI-native infrastructure that supports real-time data processing.
• Build semantic layers and knowledge graphs to enable 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.
• Maintain end-to-end accountability for data products, from ingestion through consumption.
• Deliver data products with defined SLAs, quality metrics, and customer satisfaction measures.
• Create self-service platforms that include governance, lineage, and discovery capabilities.
• Establish data contracts and APIs for dependable, versioned data consumption.
• Build high-quality pipelines that support analysts, data scientists, and AI agents.
• Implement CDC and event-driven architectures to ensure real-time data availability.
• Deploy infrastructure-as-code using CDK and Terraform.

Required Qualifications

• 5+ years of data engineering experience with cloud-native architectures.
• 4+ years of SQL experience.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Strong expertise with AWS, Databricks, and Snowflake.
• Proven experience with real-time streaming technologies, including Kafka, Kinesis, Flink, or Spark.
• Hands-on AI/ML infrastructure experience, including SageMaker and Bedrock.
• Proficiency in Python and infrastructure-as-code tooling.

Technologies

• AWS, Databricks, Snowflake
• Kafka, Kinesis, Flink, Spark
• SageMaker, Bedrock
• Python, SQL
• CDK, Terraform
• CDC

Preferred Qualifications

• Knowledge of knowledge graphs (Neptune, Neo4j) and semantic layers.
• GenAI application experience and LLM integration patterns.
• Experience with vector databases and feature stores.
• Familiarity with data mesh and domain-oriented architecture.

Compensation

USD 116,500 - 140,000 per year

Target compensation: $116,500 - $140,000 + Annual Bonus

Benefits

• Traditional medical, dental, and vision coverage.
• Generous 401(k) match.
• Paid Time Off: up to 15 days accrued in the first year, plus 40 hours of sick time and 3 personal days that refresh annually.
• Paid federal holidays.
• Special employee pricing on lending products including mortgage, auto, and personal loans (eligibility subject to standard account requirements and underwriting criteria).

Location and Schedule

Location: San Jose, CA (hybrid)

Additional locations: Hillsboro, OR | Marlborough or Chelmsford, MA | San Jose, CA

Schedule: Mon - Friday, 8am - 5pm (Hybrid)