Senior Analytics Engineer: Data Platform Lead

EasyPay Finance; Vista (CA); Hybrid; USD 150,000 - 180,000; Full time

Benefits offered by this job

Paid Time Off (PTO)

10 paid holidays

401(k) employer match

Internet reimbursement

Employee assistance program

Learning and development

Flexible Spending or Health Savings

Life and AD&D Insurance

Retailer discounts

Job summary

EasyPay Finance is consolidating analytics onto a single SQL Server database alongside our lending systems. You will own end-to-end data platforms—from ingestion to modeling and the reporting that powers self-service governance and a data dictionary.

You will inherit a functioning platform and a team that has solved migration challenges. The role focuses on expanding to new sources, defining shared definitions, and delivering scalable data assets with reliable delivery.

Qualifications

• 5+ years running production data pipelines and reporting.
• Strong SQL Server: window functions, dedup, and performance on big tables.
• Python and API extraction and pipelines.
• Experience operating scheduled jobs and logging, alerting, and quality checks.
• You've published data to a BI tool and supported the people using it.

Responsibilities

• Run the analytics database and its scheduled jobs - reliable, monitored, and documented.
• Pull in new sources through vendor APIs (CRM, contact center, lending platforms) with incremental, restartable loads
• Model raw data into tables and views the business can trust.
• Build operational reporting that has to be right every day: call lists, merchant partner reporting, and management reports.
• Own the data dictionary and KPI definitions in partnership with business owners.
• Lead one analyst, setting direction and raising the bar on quality.

Skills

Production data pipelines

Data pipeline ownership

BI reporting

Analytical mindset

Tools

SQL Server

Python

API integration

Git

ETL tooling

Job description

EasyPay Finance is consolidating analytics onto a single SQL Server database alongside our lending systems. You will own end-to-end data platforms—from ingestion to modeling and the reporting that powers self-service governance and a data dictionary.

You will inherit a functioning platform and a team that has solved migration challenges. The role focuses on expanding to new sources, defining shared definitions, and delivering scalable data assets with reliable delivery.