Staff Data Engineer: Lead Data Pipelines & Modeling

Self Inc; Austin, Northern (TX, KY); Hybrid; USD 160,000 - 195,000; Full time

Benefits offered by this job

Stock options

Performance-based bonuses

Health, vision and dental insurance

Flexible vacation

Educational assistance

Free gym membership

Casual dress code

Team building events

Paid parental leave

Job summary

Self Financial is seeking a Staff Data Engineer to lead data pipeline and modeling efforts, delivering timely, high-quality data for Analytics, ML, and BI teams. You will mentor teammates and collaborate across Architecture, Infrastructure and Product Management to implement impactful data solutions.

Ideal candidates have 8+ years in data warehousing, ETL/ELT, and large-scale data platforms, with experience in Redshift, AWS data tools, Airflow, Python, SQL and Kimball-based modeling.

Qualifications

• 8+ years of database development, integration and analytics experience.
• 8+ years designing Data Warehouse/Data Lake models (Kimball).
• Ability to lead and be accountable for team results.
• Experience with ETL/ELT on large datasets, and common dev tools.

Responsibilities

• Lead data pipeline, modeling and schemas within Self Financial's data environment.
• Collaborate with Product Management to translate strategy into projects.
• Architect design, planning and work breakdown.
• Develop physical/logical data models for BI and analytics.
• Maintain data lifecycle and quality standards.

Skills

Data modeling

ETL/ELT

SQL

Python

AWS

Airflow

Leadership

Communication

Tools

Git

JIRA

Confluence

Amazon Redshift

Job description

Self Financial is seeking a Staff Data Engineer to lead data pipeline and modeling efforts, delivering timely, high-quality data for Analytics, ML, and BI teams. You will mentor teammates and collaborate across Architecture, Infrastructure and Product Management to implement impactful data solutions.

Ideal candidates have 8+ years in data warehousing, ETL/ELT, and large-scale data platforms, with experience in Redshift, AWS data tools, Airflow, Python, SQL and Kimball-based modeling.