First Technology Federal Credit Union is hiring a Senior Data Engineer - Data and AI for a hybrid role based in San Jose, CA (also listed: Hillsboro, OR and Marlborough or Chelmsford, MA). This position supports cloud-native, AI-ready data capabilities that help teams deliver governed, real-time data experiences for analytics, data science, and AI-enabled solutions. The role offers an annual salary range of USD 116,500 - 140,000 plus Annual Bonus, with Mon–Friday, 8am–5pm scheduling.
Benefits that support your life outside work
- Traditional medical, dental, and vision coverage
- Generous 401(k) match
- Paid Time Off: accrue up to 15 days in your 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)
What you’ll do
Build and operate AI-native data platforms and governed data products end-to-end, from ingestion through consumption. You will apply modern engineering practices to enable real-time processing, automation, observability, metadata management, and reliable delivery.
- Engineer AI-native infrastructure for real-time data processing
- Build semantic layers and knowledge graphs to support intelligent query routing and context-aware access
- Develop infrastructure for agentic AI systems, including multi-agent orchestration
- Implement GenAI-powered data quality, entity resolution, and metadata management
- Own end-to-end accountability for data products from ingestion to consumption
- Deliver data products with defined SLAs, quality metrics, and customer satisfaction measures
- Create self-service platforms with embedded governance, lineage, and discovery
- Establish data contracts and APIs for reliable, versioned data consumption
- Build high-quality pipelines for analysts, data scientists, and AI agents
- Implement CDC and event-driven architectures for real-time availability
- Deploy infrastructure using infrastructure-as-code with CDK and Terraform
What you bring
- 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 experience with AWS, Databricks, and Snowflake
- 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
Technologies you may work with
AWS, Databricks, Snowflake, Kafka, Kinesis, Flink, Spark, SageMaker, Bedrock, Python, SQL, CDK, Terraform, CDC
Target compensation: $116,500 - $140,000 + Annual Bonus
