Senior Data Engineer - Real-Time Fraud Platform

Point Predictive; San Diego (CA); On-site; USD 140,000 - 160,000; Full time

Benefits offered by this job

401(k)

Dental insurance

Flexible spending account

Health insurance

Health savings account

Life insurance

Paid time off

Vision insurance

Job summary

Point Predictive in San Diego, CA is seeking a Senior Data Engineer to design, build, and operate scalable data platforms for fraud detection and risk decisioning. This onsite role collaborates with engineering, data science, product, and client teams.

You will own end-to-end data pipelines (batch and real-time), implement testing and monitoring, and apply AI-assisted development tools to improve reliability and speed.

Qualifications

• 5+ years of data engineering or software engineering experience building and operating scalable production systems.
• Hands-on experience with Python, SQL, dbt, PostgreSQL, Snowflake, and AWS.
• Experience designing and supporting production ETL/ELT, including batch and streaming pipelines.
• Experience with event-driven technologies such as Kafka, Kinesis, Spark Streaming.
• Strong understanding of data modeling, distributed systems, testing, observability, and production debugging.
• Ability to lead large technical projects and collaborate across engineering, data science, product, and business teams.
• High ownership and accountability with clear communication and quality focus.
• Comfort using AI-assisted and agentic development tools.
• Experience in financial services, lending, fraud detection, or risk decisioning is a plus.

Responsibilities

• Design, build, and operate scalable pipelines ingesting lender, application, and transaction data.
• Develop batch and real-time data processes supporting fraud detection and risk decisioning.
• Create and maintain data transformation workflows using dbt, SQL, Python; core platforms include Snowflake, PostgreSQL, AWS.
• Improve platform scalability, reliability, and performance via architecture changes and automation.
• Build streaming pipelines using Kafka, Kinesis, Spark Streaming or similar platforms.
• Convert complex data-processing and business logic into reliable production software.
• Implement automated testing, monitoring, alerting, reconciliation, and data-quality controls.
• Maintain clean, governed, and well-documented data models for downstream systems.
• Investigate production issues and partner with cross-functional teams on large projects.
• Contribute to data architecture decisions and engineering standards; use AI-assisted tools to improve productivity.

Skills

Data engineering

Batch & streaming data

Distributed systems

Data modeling

Education

Bachelor's or Master's

Tools

Python

SQL

dbt

PostgreSQL

Snowflake

AWS

Kafka

Kinesis

Spark Streaming

Claude Code

Job description

Point Predictive in San Diego, CA is seeking a Senior Data Engineer to design, build, and operate scalable data platforms for fraud detection and risk decisioning. This onsite role collaborates with engineering, data science, product, and client teams.

You will own end-to-end data pipelines (batch and real-time), implement testing and monitoring, and apply AI-assisted development tools to improve reliability and speed.