Staff Data Engineer: Lead Data Pipelines (Remote)

Self Financial

United States

Remote

USD 160,000 - 195,000

Full time

14 days+

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Benefits offered by this job

Stock options
Performance-based bonuses
Health, vision and dental insurance
Flexible vacation policy
Educational assistance
Free gym membership
Casual dress code
Team building events
Remote work arrangements
Paid parental leave

Job summary

Self Financial is seeking a Staff Data Engineer to drive data-driven outcomes and mentor teammates. You will lead data pipeline development, modeling, and schema design within Self Financial’s Data Environment, supporting Analytics, Machine Learning, and BI teams.

You will collaborate with Product Management to translate strategy into data projects, design architectures, and ensure data quality and lifecycle management across large datasets.

Qualifications

  • 8+ years in database development and data analytics.
  • Design and implement Data Warehouse/Data Lake models (Kimball).
  • Leadership responsibilities and accountability for team results.
  • Experience with ETL/ELT on large data sets.

Responsibilities

  • Lead the data pipeline, modeling, and schemas for BI and analytics.
  • Translate product strategy into actionable data projects with PM collaboration.
  • Design architecture, analysis, planning and project breakdown.
  • Maintain data lifecycle and quality standards.

Skills

Database development
Data warehousing
Data modeling
ETL/ELT
Python
SQL
AWS
Airflow
Git
JIRA
Confluence
Communication

Tools

Airflow
Amazon Redshift
Git
JIRA
Confluence

Job description

Self Financial is seeking a Staff Data Engineer to drive data-driven outcomes and mentor teammates. You will lead data pipeline development, modeling, and schema design within Self Financial’s Data Environment, supporting Analytics, Machine Learning, and BI teams.

You will collaborate with Product Management to translate strategy into data projects, design architectures, and ensure data quality and lifecycle management across large datasets.

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