Senior Data Engineer, FinTech Analytics & Data Platforms

Jobtailor; California (MO); On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor is seeking an experienced analytics engineer to own end-to-end data products in a FinTech-focused environment. You will design and optimize dbt models and Python-based processing pipelines, collaborating with stakeholders across Product, Finance, and Risk.

Expect rigorous testing, CI/CD, and scalable architectures within Databricks. Ideal candidates bring 8+ years in analytics/data engineering, expert SQL, and hands-on experience with dbt, Databricks, and AWS services.

Qualifications

• 8+ years of analytics engineering or data engineering experience.
• Expert SQL and advanced Python for data manipulation.
• Experience with Databricks, dbt materializations, and AWS services.
• Experience in FinTech/Capital Markets data modeling and reporting.
• Strong CI/CD, testing, and documentation practices.

Responsibilities

• Own full lifecycle of data products from concept to production.
• Design and code complex dbt models for high-volume datasets.
• Write production-grade Python for data processing and orchestration.
• Optimize performance and reduce cost/latency across pipelines.
• Lead data initiatives with cross-functional stakeholders.
• Mentor teammates and perform code reviews and pair programming.
• Maintain data sources, statistics, and data quality tests.

Skills

SQL

Python

Dbt

Databricks

Data Modeling

Data Quality Testing

CI/CD Implementation

Unit Testing

Performance Optimization

Analytics Engineering

Data Engineering

Education

Bachelor's degree in Computer Science or related field

Tools

Git

GitHub Copilot

Airflow

AWS

Job description

Jobtailor is seeking an experienced analytics engineer to own end-to-end data products in a FinTech-focused environment. You will design and optimize dbt models and Python-based processing pipelines, collaborating with stakeholders across Product, Finance, and Risk.

Expect rigorous testing, CI/CD, and scalable architectures within Databricks. Ideal candidates bring 8+ years in analytics/data engineering, expert SQL, and hands-on experience with dbt, Databricks, and AWS services.