Senior Data Engineer

Point Predictive is hiring a Senior Data Engineer onsite in San Diego, CA to help design, build, and maintain scalable data platforms for fraud detection and risk decisioning. The role supports both batch and real-time pipelines and works closely with Engineering, Data Science, and Product to deliver production-ready data systems at scale.

Salary: USD 140,000 - 160,000 per year. Experience: 5+ years. Education: Bachelor’s or Master’s.

What you’ll do

• Design, build, and operate scalable pipelines that ingest and process large volumes of lender, application, and transaction data across varied formats and delivery methods.
• Create batch and real-time data processes for fraud detection, risk decisioning, model features, customer integrations, and production outputs.
• Build and maintain data transformation workflows using dbt, SQL, Python, Snowflake, PostgreSQL, and AWS.
• Improve scalability, reliability, and performance through architecture improvements, query optimization, and automation.
• Develop streaming and event-driven pipelines using Kafka, Kinesis, Spark Streaming, or similar technologies.
• Translate complex fraud and business logic into reliable, maintainable production software.
• Implement automated testing, monitoring, alerting, reconciliation, and data-quality controls across critical workflows.
• Maintain clean, well-governed, and well-documented data models for downstream products, analytics, and machine-learning systems.
• Investigate production issues and customer-reported data problems, identify root causes, and implement durable fixes.
• Partner across Software Engineering, Data Science, Product, and customer-facing teams to deliver large-scope technical projects.
• Contribute to data architecture decisions and engineering standards.
• Use AI-assisted development tools such as Claude Code to improve productivity, testing rigor, and engineering quality.

What you bring

• 5+ years of data engineering or software engineering experience building and operating scalable production systems.
• Strong hands-on experience with Python, SQL, dbt, PostgreSQL, Snowflake, and AWS.
• Experience designing and supporting production ETL, ELT, batch, and streaming pipelines.
• Experience with event-driven technologies such as Kafka, Kinesis, Spark Streaming, or similar tools.
• Strong understanding of data modeling, distributed systems, testing, observability, and production debugging.
• Proven ability to lead large technical projects and collaborate effectively across Engineering, Data Science, Product, and business teams.
• High level of ownership, accountability, communication, and attention to quality.
• Comfort using AI-assisted and agentic development tools while maintaining strong engineering judgment and review standards.
• Experience in financial services, lending, fraud detection, or risk decisioning is a plus.

Technologies

• Python, SQL, dbt, Snowflake, PostgreSQL, AWS
• Kafka, Kinesis, Spark Streaming
• Claude Code

Benefits

• 401(k)
• Dental insurance
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Vision insurance

How success is measured

• Reliable, well-tested batch and real-time pipelines move large volumes of data with minimal production issues.
• Data models are clean, documented, governed, and dependable for downstream systems.
• Monitoring and automated controls identify pipeline and data-quality issues before they affect customers.
• Infrastructure scales efficiently as data volumes, customers, and product use cases grow.
• Manual processes are replaced with durable, automated solutions.
• Production issues and customer requests are resolved quickly and result in lasting improvements.
• Technical projects are delivered with clear ownership and strong cross-functional partnership.
• AI-assisted development tools are used thoughtfully to increase speed, strengthen testing, and reduce errors.

In-office requirement

• This is an in person role. You must confirm availability to work in office 5 days a week.
• Work location: San Diego, CA 92101 (Required).

Core values

Point Predictive’s core values are Get it Done, Pitch In, and Be the Expert. In your application, describe in detail how you have embodied these values in the past and how you will continue to work by them at Point Predictive.